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HZG REPORT 2016-2 // ISSN 2191-7833 The Bray and von Storch 5 th International Survey of Climate Scientists 2015/2016 (Helmholtz-Zentrum Geesthacht, Geesthacht, Germany) D. Bray H. von Storch

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Page 1: The Bray and von Storch 5 International Survey of Climate ... · HZG REPORT 2016-2 // ISSN 2191-7833 The Bray and von Storch 5th International Survey of Climate Scientists 2015/2016

HZG REPORT 2016-2 // ISSN 2191-7833

The Bray and von Storch 5th International Survey of Climate Scientists 2015/2016(Helmholtz-Zentrum Geesthacht, Geesthacht, Germany)

D. BrayH. von Storch

Page 2: The Bray and von Storch 5 International Survey of Climate ... · HZG REPORT 2016-2 // ISSN 2191-7833 The Bray and von Storch 5th International Survey of Climate Scientists 2015/2016
Page 3: The Bray and von Storch 5 International Survey of Climate ... · HZG REPORT 2016-2 // ISSN 2191-7833 The Bray and von Storch 5th International Survey of Climate Scientists 2015/2016

The Bray and von Storch 5th International Survey of Climate Scientists 2015/2016(Helmholtz-Zentrum Geesthacht, Geesthacht, Germany)

Helmholtz-Zentrum GeesthachtZentrum für Material- und Küstenforschung GmbH | Geesthacht | 2016

HZG RepoRt 2016-2

D. BrayH. von Storch

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Die HZG Reporte werden kostenlos abgegeben.HZG Reports are available free of charge.

Anforderungen/Requests:

Helmholtz-Zentrum GeesthachtZentrum für Material- und Küstenforschung GmbHBibliothek/LibraryMax-Planck-Straße 121502 GeesthachtGermanyTel.: +49 4152 87-1690Fax.: +49 4152 87-1717

Druck: HZG-Hausdruckerei

Als Manuskript vervielfältigt.Für diesen Bericht behalten wir uns alle Rechte vor.

ISSN 2191-7833

Helmholtz-Zentrum GeesthachtZentrum für Material- und Küstenforschung GmbHMax-Planck-Straße 121502 Geesthacht

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HZG RePoRT 2016-2

(Helmholtz-Zentrum Geesthacht, Geesthacht, Germany)

Dennis Bray, Hans von Storch

142 pages with 119 figures and 6 tables

Abstract

This report presents the findings of a survey of climate scientists’ perceptions of the global warming issue. The survey was conducted in 2015/16. The survey includes the following sections: demographics of participants, participants’ assessment of climate science, the utility of models, extreme events, attribution of extreme events, climate and society, science and society.

Die Bray und von Storch Fünfte Internationale Umfrage des Klima-Wissenschaftler 2015/2016

Zusammenfassung

Dieser Report stellt die ergebnisse einer Studie vor, welchen Klimawissenschaftler zu ihrer Sichtweise zum Thema globale Klimaerwaermung sind. Die Befragungen hierzu wurden 2015/16 durchgefuehrt.

Manuscript received / Manuskripteingang in Druckerei: 9. Mai 2016

The Bray and von Storch 5th International Survey of Climate Scientists 2015/2016

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Contents Introduction ............................................................................................................................................ 1

Results from previous surveys ............................................................................................ 1

Relevant publications 1996-2013 surveys ........................................................................... 2

Sampling ............................................................................................................................ 3

Questions .......................................................................................................................... 4

Presentation of Data .......................................................................................................... 4

Structure of Survey ............................................................................................................ 6

Results of the 2015/2016 Survey of Climate Scientists ....................................................... 7

Section 1. Demographics .................................................................................................... 8

Table 1. The country in which you live is? ........................................................................................... 8

Table 2. The approximate number of years you have worked in science is? ...................................... 9

Table 3. What best describes the institute in which you work? ........................................................... 9

Table 4. The focus of most of your work is? ......................................................................................... 9

Table 5. Were you involved (author, reviewer, etc.) with the 2014 IPCC AR5 Report? ...................... 9

Section 2. Climate Science ................................................................................................ 10

Figure 1. (v006) How convinced are you that climate change, whether natural or anthropogenic, is occurring now?....................................................................................................... 10

Figure 2. (v007) How convinced are you that most of recent or near future climate change is, or will be, the result of anthropogenic causes? ...................................................................................... 11

Figure 3. (v008) Climate models accurately simulate the climatic conditions for which they are calibrated. ........................................................................................................................................... 12

Figure 4. (v009a) How well do you think atmospheric models can deal with hydrodynamics? ........ 13

Figure 5. (v009b) How well do you think atmospheric models can deal with radiation? ................. 14

Figure 6. (v009c) How well do you think atmospheric models can deal with the influence of clouds? ................................................................................................................................................ 15

Figure 7. (v009d) How well do you think atmospheric models can deal with precipitation? ............ 16

Figure 8. (v010a)How well do you think ocean models can deal with hydrodynamics? ................... 17

Figure. 9. (v010b) How well do you think ocean models can deal with heat transport in the ocean? ................................................................................................................................................. 18

Figure 10. (v010c) How well do you think ocean models can deal with oceanic convection? ........... 19

Figure 11. (v011a) The current state of scientific knowledge is developed well enough to allow for a reasonable estimate of the effects of turbulence on climate? .................................................. 20

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Figure 12. (v011b) The current state of scientific knowledge is developed well enough to allow for a reasonable estimate of the effects of land surface processes on climate?............................... 21

Figure 13. (v011c) The current state of scientific knowledge is developed well enough to allow for a reasonable estimate of the effects of sea ice on climate? ......................................................... 22

Figure 14. (v011d) The current state of scientific knowledge is developed well enough to allow for a reasonable estimate of the effects of greenhouse gases from anthropogenic sources on climate? ............................................................................................................................................... 23

Figure 15. (v012a) How would you rate the ability of global climate models to simulate a global mean value for temperature values for the next 10 years?............................................................... 24

Figure 16. (v012b) How would you rate the ability of global climate models to simulate a global mean value for precipitation values for the next 10 years? .............................................................. 25

Figure 17. (v012c) How would you rate the ability of global climate models to simulate a global mean value for sea level rise for the next 10 years? .......................................................................... 26

Figure 18. (v012d) How would you rate the ability of global climate models to simulate a global mean value for temperature values for the next 50 years?............................................................... 27

Figure 19. (v012e) How would you rate the ability of global climate models to simulate a global mean value for precipitation values for the next 50 years? .............................................................. 28

Figure 20. (v012f) How would you rate the ability of global climate models to simulate a global mean value for sea level rise for the next 50 years? .......................................................................... 29

Figure 21. (v013) Since 1850, it is estimated that the world has warmed by 0.5 - 0.7 degrees C. Approximately what percent would you attribute to human causes? ............................................... 30

Section 3 Climate Service Centers ..................................................................................... 31

Figure 22. (v014) Climate service centers have become a somewhat recent addition to climate research. How aware are you of the services offered by climate service centers? .......................... 31

Figure 23. (v015a) As a scientist, would you expect the role of climate service centers to be to present the results of scientific research to the public in an understandable way? .......................... 32

Figure 24. (v015b) As a scientist, would you expect the role of climate service centers to be to present to scientists new applied research questions resulting from public engagement? .............. 33

Figure 25. (v015c) As a scientist, would you expect the role of climate service centers to be to operate in parallel with climate research to develop relevant knowledge for decision making? ..... 34

Figure 26. (v015d) As a scientist, would you expect the role of climate service centers to be to initiate public/political reactions to the issue of climate change? ..................................................... 35

Table 6. (v016) Do you think climate service centers are a source of funding for scientific research projects? ............................................................................................................................... 36

Section 4. The Utility of Models ........................................................................................ 37

Figure 27. (v017) Your level of familiarity with such models is ........................................................ 37

Figure 28. (v018a) Such models are able to generate what level of knowledge about the functioning of the climate system and its components? .................................................................... 38

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Figure 29. (v018b) Such models are able to generate what level of knowledge about the relevance of specific dynamical processes for the climate system? .................................................. 39

Figure 30. (v018c) Such models are able to generate what level of knowledge about the future of the climate system? ........................................................................................................................ 40

Figure 31. (v018d) Such models are able to generate what level of knowledge about the past of the climate system? ............................................................................................................................ 41

Figure 32. (v019a) How much do you agree that the skill of climate models in describing possible future conditions can be derived from the physical logic/dynamics built into the model? ................................................................................................................................................ 42

Figure 33. (019b) How much do you agree that the skill of climate models in describing possible future conditions can be derived from the skill of models on describing past conditions? ............... 43

Figure 34. (v019c) How much do you agree that the skill of climate models in describing possible future conditions can be derived from the skill of models in describing the present conditions? .......................................................................................................................................... 44

Figure 35. (v019d) How much do you agree that the skill of climate models in describing possible future conditions can be derived from the convergence of recognized climate models? ... 45

Figure 36. (v020) To what degree do you think that, through the process of downscaling, it is possible to determine local climate change? ..................................................................................... 46

Section 5. Extreme Events ................................................................................................ 47

Section 5.a. Defining Extreme Events ................................................................................ 47

Figure 37. (v021a) When defining an extreme event, how would you rate the importance of considering the damage caused by the weather event? .................................................................... 47

Figure 38. (v021b). When defining an extreme event, how would you rate the importance of considering the deviation from the meteorological mean?................................................................ 48

Figure 39. (v021c). When defining an extreme event, how would you rate the importance of the considering probability of such an event occurring? .......................................................................... 49

Figure 40. (v021d). When defining an extreme event, how would you rate the importance of the considering the geographic location of the event? ............................................................................ 50

Figure 41. (v021e). When defining an extreme event, how would you rate the importance of the considering the geographic dimension of the event?................................................................... 51

Figure 42. (v021f). When defining an extreme event, how would you rate the importance of the considering the duration of the event? ............................................................................................... 52

Figure 43. (v021g). When defining an extreme event, how would you rate the importance of the considering the number of human lives lost to the event? .......................................................... 53

Figure 44. (v021h). When defining an extreme event, how would you rate the importance of the considering the economic costs? .................................................................................................. 54

Section 5.b. Extreme events where you live: convective rainfall/thunder storms .............. 55

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Figure 45. (v022a) In the region where you live the frequency of convective rainfall events / thunder storms in the last 20 years has ............................................................................................. 55

Figure 46. (v022b) In the region where you live the intensity of convective rainfall events / thunder storms in the last 20 years has ............................................................................................. 56

Figure 47. (v023a) In the region where you live, what change in the frequency of convective rainfall events / thunder storms would you expect in the next 50 years .......................................... 57

Figure 48. (v023b) In the region where you live, what change in the intensity of convective rainfall events / thunder storms would you expect in the next 50 years .......................................... 58

Section 5.c. Extreme events on a global scale: convective rainfall/thunder storms ............ 59

Figure 49. (v024a) On a global scale the frequency of convective rainfall events / thunder storms in the last 20 years has ........................................................................................................... 59

Figure 50. (v024b) On a global scale the intensity of convective rainfall events / thunder storms in the last 20 years has ....................................................................................................................... 60

Figure 51. (v025a)On a global scale, what change in the frequency of convective rainfall events / thunder storms would you expect in the next 50 years? .................................................................. 61

Figure 52. (v025b) On a global scale, what change in the intensity of convective rainfall events / thunder storms would you expect in the next 50 years? ................................................................... 62

Section 5.d. Extreme events on a global scale: heat waves ................................................ 63

Figure 53. (v026a) On a global scale over the last 20 years the frequency of heat waves has .......... 63

Figure 54. (v026b) On a global scale over the last 20 years the intensity of heat waves has ............ 64

Figure 55. (var027a) On a global scale, what change in the frequency of heat waves would you expect in the next 50 years? .............................................................................................................. 65

Figure 56. (var027b) On a global scale, what change in the intensity of heat waves would you expect in the next 50 years? .............................................................................................................. 66

Section 5.e. Extreme events on a global scale: tropical storms (hurricane/typhoons) ........ 67

Figure 57. (var028a) Over the last 20 years, the frequency of tropical storms (hurricanes, typhoons) has ...................................................................................................................................... 67

Figure 58. (var028b) Over the last 20 years, the intensity of tropical storms (hurricanes, typhoons)has....................................................................................................................................... 68

Figure 59. (v029a) Over the next 50 years, the frequency of tropical storms (hurricanes, typhoons)will ...................................................................................................................................... 69

Figure 60. (v029b) Over the next 50 years, the intensity of tropical storms (hurricanes, typhoons)will ...................................................................................................................................... 70

Section 5.f. Projections of extreme events: regional climate models ................................. 71

Figure 61. (v030a) How would you rate the ability of regional climate models to make 10 year projections of convective rain storms/ thunderstorms? ..................................................................... 71

Figure 62. (v030b) How would you rate the ability of regional climate models to make 10 year projections of heat waves? ................................................................................................................. 72

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Figure 63. (v030c) How would you rate the ability of regional climate models to make 10 year projections of tropical storms (hurricanes/typhoons)? ...................................................................... 73

Figure 64. (v031a) How would you rate the ability of regional climate models to make 50 year projections of convective rain storms/thunder storms? ..................................................................... 74

Figure 65. (v031b) How would you rate the ability of regional climate models to make 50 year projections of heat waves? ................................................................................................................. 75

Figure 66. (v031c) How would you rate the ability of regional climate models to make 50 year projections of tropical storms (hurricanes/typhoons? ....................................................................... 76

Section 5.g. Projections of extreme events: global climate models .................................... 77

Figure 67. (v032a) How would you rate the ability of global climate models to make 10 year projections of convective rainfall/thunder storms? ............................................................................ 77

Figure 68. (v032b) How would you rate the ability of global climate models to make 10 year projections of tropical storms (hurricanes/typhoons)? ....................................................................... 78

Figure 69. (v032c) How would you rate the ability of global climate models to make 10 year projections of heat waves? ................................................................................................................. 79

Figure 70. (v033a) . How would you rate the ability of global climate models to make 50 year projections of convective rain storms/ thunder storms? .................................................................... 80

Figure 71. (v033b) . How would you rate the ability of global climate models to make 50 year projections of tropical storms (hurricanes/typhoons)? ....................................................................... 81

Figure 72. (v033c) . How would you rate the ability of global climate models to make 50 year projections of heat waves? ................................................................................................................. 82

Section 6. Attribution of Extreme Events ......................................................................... 83

Figure 73. (v034) How much do you think such efforts have provided robust evidence of attributing events to causes? .............................................................................................................. 83

Figure 74. (v035) How much would successful attribution efforts help to disentangle the dynamics and sensitivities of the climate system? ............................................................................. 84

Figure 75. (v036) If such efforts were successful, how much would the results demonstrate the urgency of reducing greenhouse gases? ............................................................................................. 85

Figure 76. (v037) If such efforts were successful, how much would they support the design of adaptation strategies? ........................................................................................................................ 86

Figure 77. (v038) With how much certainty can we attribute recent extreme climate events to climate change (anthropogenic or otherwise)? .................................................................................. 87

Figure 78. (v39a) The significance of an investigation of an individual extreme weather event that has already occurred, is to improve the planning and execution of climate adaptation strategies with the use of evidence bases planning. .......................................................................... 88

Figure 79. (v039b) The significance of an investigation of an individual extreme weather event that has already occurred, is to make climate change visible and convince citizens of the reality of climate change. ............................................................................................................................... 89

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Figure 80. (v039c) The significance of an investigation of an individual extreme weather event that has already occurred, is to try to determine a method of assessing the anthropogenic influence on extreme events. ............................................................................................................. 90

Figure 81. (v040) How much would you agree with the following statement: "Extreme weather events are a major consequence of climate change."? ...................................................................... 91

Figure 82. (v041a) How much would you agree with the following: "Extreme weather events are becoming more erratic”? .................................................................................................................... 92

Figure 83. (v041b) How much would you agree with the following: "Extreme weather events are becoming more frequent”? ................................................................................................................ 93

Figure 84. (v041c) How much would you agree with the following: "Extreme weather events are becoming more powerful”? ................................................................................................................ 94

Figure 85. (v042a). How much do you think the anthropogenic influence on the climate increases the probability of the occurrence of an extreme event?.................................................... 95

Figure 86. (v042a) How much do you think the anthropogenic influence on the climate increases the intensity of an extreme event? ..................................................................................................... 96

Figure 87. (v042c) How much do you think the anthropogenic influence on the climate increases the frequency of an extreme event? .................................................................................................. 97

Section 7. Climate and Society .......................................................................................... 98

Figure 88. (v043) How convinced are you that climate change poses a very serious and dangerous threat to humanity? .......................................................................................................... 98

Figure 89. (v044) How much are we beginning to experience the more gradual impacts of climate change, anthropogenic or otherwise? ................................................................................... 99

Figure 90. (v045) Over the issue of climate change, the general public should be told to be: ....... 100

Figure 91. (v046) It should be the responsibility of climate scientists to tell the general public how much they should be concerned about climate change. .......................................................... 101

Figure 92. (v047)Considering the advances of the understanding of climate change in the last 5 years, would you say climate change has become: .......................................................................... 102

Figure 93. (v048) Today, do you think the negative impacts of climate change will be .................. 103

Figure 94. (v049) Today, do you think the negative impacts of sea level rise will be ...................... 104

Figure 95. (v050) Climate change discourse in general (scientific, public, political) is driven by ..... 105

Figure 96. (v051a) If we do not do anything towards adaptation or mitigation, the potential from catastrophe in the next 10 years resulting from climate change for the country in which you live is ........................................................................................................................................... 106

Figure 97. (v051b) If we do not do anything towards adaptation or mitigation, the potential from catastrophe in the next 50 years resulting from climate change for the country in which you live is ........................................................................................................................................... 107

Figure 98. (v052a) If we do not do anything towards adaptation and mitigation, the potential from catastrophe in the next 10 years resulting from climate change for other parts of the world is ........................................................................................................................................................ 108

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Figure 99. (v052b) If we do not do anything towards adaptation and mitigation, the potential from catastrophe in the next 50 years resulting from climate change for other parts of the world is ........................................................................................................................................................ 109

Section 8. Climate Science and Society ........................................................................... 110

Figure 100. (v053) Science should be for the people, and governments should direct scientific resources into area that would prove to be of the greatest benefit for society. ............................. 110

Figure 101. (v054) Rather than being designed within science, research priorities should be put forward by individuals and groups who are in touch with genuine social needs. ............................ 111

Figure 102. (v055) Citizens should participate directly in the scientific research process. .............. 112

Figure 103. (v056) Citizens should shape the subjects and contents of what is considered to be scientific knowledge. ......................................................................................................................... 113

Figure 104. (v057) Science should be reorganized so that citizens directly determine how knowledge is produced. .................................................................................................................... 114

Figure 105. (v058) Science should deliver facts not policies. ........................................................... 115

Figure 106. (v059) Scientists should not consider the moral implications of their work as this prevents facts from being distorted by ideologies. .......................................................................... 116

Figure 107. (v060) Science should be conducted only within the closed community of scientists and only by those trained in scientific disciplines. ........................................................................... 117

Figure 108. (v061) Scientists should focus on knowledge according their own moral and political commitments. ................................................................................................................................... 118

Figure 109. (v062) Scientists should work to link science with public moral and political concerns. ........................................................................................................................................... 119

Figure 110. (v063) The credibility of scientific claims is partly determined by the moral qualities of the author. .................................................................................................................................... 120

Figure 111. (v064) The main form of scientific debate among scientists should be based on: ....... 121

Figure 112. (v065) Science is a defined set of practices and ideas that are not generally found or used outside of science. .................................................................................................................... 122

Figure 113. (v066) As the values of non-scientists are taken into account, how much have scientific ideas been distorted to service political arguments concerning climate change? ........... 123

Figure 114. (v067) The seriousness of potential environmental scares needs to be investigated before doomsday stories get out of hand. ....................................................................................... 124

Figure 115. (v068) Science should be kept separate from the concerns of ordinary people. .......... 125

Figure 116. (v 69) The collective authority of a consensus culture of science paralyzes new thought.............................................................................................................................................. 126

Figure 117. (v070a) Since 1996 the level of uncertainty in climate science has .............................. 127

Figure 118. (v070b) What was considered to be at stake has ......................................................... 128

Figure 119. (v070c) The level of risk associated with climate change has ....................................... 129

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Introduction

In 1996, with the assistance of funding from the Thyssen Stiftung, we set out to explore the perceptions that climate scientists held regarding climate change and climate science. The methodology was quite simple. We began with a series of interviews (43 in number) with climate scientists in three countries (USA, Canada and German). A brief account of the qualitative findings can be found in Inside Science, A Preliminary Investigation of the Case of Global Warming, (Bray and von Storch, 1996: available on-line at

http://www.academia.edu/2369025/Inside_science_-a_preliminary_investigation_of_the_case_of_global_warming.

After analyzing the interviews, questions were formulated addressing key issues that seemed to prevail. These questions were then pretested with climate scientists and revised accordingly. Satisfied with the survey questionnaire, 500 hard copies were distributed to scientists in Germany, Denmark, Canada and the USA, each survey translated into the national language. Subsequently, it was requested that the survey be repeated in Italy and Taiwan. The reception of the results of the 1996 survey was such that we were prompted to repeat the survey in 2003. In an effort to reach a larger sample of scientists we employed an on-line survey method. After the 2003 survey we decided perhaps it would be a good idea to repeat the survey to provide a view over time of how climate scientists felt about their science and the issue of global warming. To this extent, the survey was repeated again in 2008, 2013 and again at the end of 2015/beginning of 2016. While a set of core questions are maintained, each survey subsequent to 1996 contained sets of questions addressing different specific topics. Specific to the 2051/16 survey are sections on Climate Service Centers, Extreme Events, Attribution of Extreme Events, Climate and Society and Climate Science and Society.

Results from previous surveys

1996/2003 surveys

http://www.hzg.de/imperia/md/content/hzg/zentrale_einrichtungen/bibliothek/berichte/gkss_berichte_2007/gkss_2007_11.pdf

or complete with data set at

https://www.academia.edu/2365610/The_Bray_and_von_Storch-survey_of_the_perceptions_of_climate_scientists_2008_report_codebook_and_XLS_data

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2008 survey

http://www.hzg.de/imperia/md/content/hzg/zentrale_einrichtungen/bibliothek/berichte/gkss_berichte_2010/gkss_2010_9_.pdf

or complete with data set at

https://www.academia.edu/2365610/The_Bray_and_von_Storch-survey_of_the_perceptions_of_climate_scientists_2008_report_codebook_and_XLS_data

2013 survey

http://www.hzg.de/imperia/md/content/hzg/zentrale_einrichtungen/bibliothek/berichte/hzg_reports_2014/hzg_report_2014_4.pdf

or complete with data set at

https://www.academia.edu/5211187/The_Bray_-_von_Storch_Surveys_A_survey_of_the_perceptions_of_climate_scientists_2013_report_codebook_and_XLS_data

Relevant publications 1996-2013 surveys

Bray, D. and H. von Storch, (1999). Climate Science and the transfer of knowledge to public and political realms. In: H. von Storch and G. Flöser: Anthropogenic Climate Change, Springer Verlag, ISBN 3-540-65033-4, 287-328

http://www.academia.edu/4718367/Climate_Science_and_the_Transfer_of_Knowledge_to_Public_and_Political_Realms

Bray, Dennis and Hans von Storch (1999). Climate Science: An empirical example of postnormal science Bulletin of the American Meteorological Society Vol. 80, No. 3, March 1999 439-455

http://www.academia.edu/3077349/Climate_Science_An_empirical_example_of_postnormal_science

Bray, D and Carsten Krück (2001). Some Patterns of Interaction Between Science and Policy:Germany and Climate Change. Climate Research, November Vol. 19: 69 – 90, 2001

Bray, Dennis and Hans von Storch (2008). The Role of Trans-Science in the Acceptance of the IPCC as an Expression of Consensus. Working paper 2008, Unpublished

www.academia.edu/4783953/The_Role_of_Trans-Science_in_the_Acceptance_of_the_IPCC_as_an_Expression_of_Consensus

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Bray, Dennis and Hans von Storch (2009). "Prediction" or "Projection?": The Nomenclature of Climate Science. Science Communication 2009; 30; 534

http://www.academia.edu/3077388/_Prediction_or_Projection_The_Nomenclature_of_Climate_Science

Hans von Storch, Dennis Bray. (Published online: 24 September 2010) Against politicization of science. Comment on S. Keller: Scientization: putting global climate change on the scientific agenda since 1970 and the role of the IPCC. Poiesis Prax (2010) 7:211–219DOI 10.1007/s10202-010-0085-3

Bray, Dennis (2011). The Scientific Consensus of Climate Change Revisited.Environmental Science & Policy 13 (2010) 340-350, 2011

Note: This version differs slightly from the published version

http://www.academia.edu/3077313/The_Scientific_Consensus_of_Climate_Change_Revisited

Bray, Dennis and H. von Storch (2011). An Alternative Means of Assessing Climate Models.Journal of Environmental Science and Engineering, 5 (2011) 1053-1062

http://www.academia.edu/4929792/An_Alternative_Means_of_Assessing_Climate_Models

Bray, Dennis (2013). Decision Making: Truth to Power vs. Post-Normal Science. 2013 Unpublished Note

http://www.academia.edu/4706870/Decision_Making_Truth_to_Power_vs._Post-Normal_Science

Bray, D., & von Storch, H. (2014). The Normative Orientations of Climate Scientists. Science and Engineering Ethics. doi:10.1007/s11948-014-9605-1.

also available at

https://www.academia.edu/9313025/The_Normative_Orientations_of_Climate_Scientists

Sampling

The survey employed a non-probability convenience sample. Convenience sampling provides an inexpensive approximation of truth. Quite simply, the sample is selected because it is convenient. The respondents were ‘preselected’ in as much as they were included as they met specific criteria, i.e. had authored papers concerning climate change and published them in significant climate science journals, were currently employed in climate research institutes or have previously been used as respondents in published results concerning climate change consensus among scientists, or were on existing mailing lists of climate scientists.

In the 2008 climate survey of climate scientists, three lists were employed in constructing the sample. List one included a list of authors, affiliations and email addresses drawn from

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climate journals with the 10 highest ISI impact ratings for the last 10 years. These are authors of climate related papers in peer reviewed climate related journals. The second list was the list of authors who contributed to Oreskes’ (2004) published conclusions concerning consensus in the climate change issue. A third list was drawn from readily available email lists on institute web sites (i.e. NCAR, MPI, AMS, etc.). Duplicates in the three lists were removed before distribution

In 2013 the survey used the same mailing list as in 2008 with the addition of the ClimList mailing list plus the IPCC list of contributors. After removing duplicates, this resulted in a list of 5947 email addresses. 1456 proved to be non-valid, making the total distribution 4491. Invitations to participate in the survey were distributed by email, providing a link to the on-line survey. Provisions were made so that should someone submit a duplicate form the form identifier resulted in the original being over written. Consequently, for each invitation it was only possible to have one completed survey written to the data set. There were 286 valid returns, for a return rate of approximately 7%. All responses were guaranteed anonymity.

In 2015, the survey used updated lists of those employed in 2013. In total, invitations to participate in the survey were sent to 3879 valid email addresses. The survey ran from mid-December 2015 until the end of January 2016. There were 651 returns (complete and partial) for a response rate of approximately 17%, exceeding the response rates of our previous online surveys. (For a discussion of response rates to online surveys, see Bray and von Storch, 2014. A Survey of the Perceptions of Climate Scientists, 2013. pp. 2-4.)

Questions

As with previous surveys, most questions were designed on a seven point rating scale. A set of statements was presented to which the respondent was asked to indicate his or her level of agreement or disagreement, for example, 1 = strongly agree, 7 = strongly disagree. The value of 4 can be considered as an expression of ambivalence or impartiality or, depending on the nature of the question posed, for example, in a question posed as a subjective rating such as "How much do you think climate scientists are aware of the information that policy makers incorporate into their decision making process?", a value of 4 is no longer a measure of ambivalence, but rather a metric. Questions were pretested and revised accordingly.

Presentation of Data

Data is presented as descriptive statistics, including histograms, cumulative distribution frequencies and box plots, where applicable. Descriptive statistics include number of observations, means and 95% confidence intervals.

Histograms are presented as percent of observations. Histograms simply allows us to see the patterns in the data instead of the detailed information we would get from what is basically a list of numbers. The shape of the distribution indicates the skew of the data.

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The cumulative distribution function shows the probability of occurrence of the corresponding value on the x axis. The chart below indicates a probability of .6 that the value of 7 will occur.

Boxplots illustrate the median, spread and data values. The box plot (a.k.a. box and whisker diagram) is a standardized way of displaying the distribution of data.

A total of 5 boxplots are presented for each variable.

1. a boxplot representing the entire number of respondents to the survey.

2. a boxplot representing the respondents who claimed to work in climate science proper claiming the focus of their work to be directly in the production of knowledge concerning climate change, working in: atmospheric modelling, oceanic modelling, measurement and observation, down scaling, physical processes, and paleoclimatology and claiming to have been affiliated with the IPCC.

3. a boxplot representing the respondents who claimed to work in climate science proper claiming the focus of their work to be directly in the production of knowledge concerning climate change, working in: atmospheric modelling, oceanic modelling, measurement and observation, down scaling, physical processes, and paleoclimatology and claiming to not have been affiliated with the IPCC.

4. a boxplot representing the respondents who claimed to have worked in affiliated sciences, with the focus of their work as socio-economic impact assessment, ecological impact assessment, adaptation strategies, science policy administration and other – climate related activities and claiming to have been affiliated with the IPCC.

5. a boxplot representing the respondents who claimed to have worked in affiliated sciences, with the focus of their work as socio-economic impact assessment, ecological impact assessment, adaptation strategies, science policy administration and other – climate related activities and claiming to not have been affiliated with the IPCC.

The category of work ‘other –non-climate related’ is omitted from this part of the analysis (6 respondents).

In the box plot the central rectangle (box) spans the first quartile to the third quartile (the interquartile range or IQR). To obtain quartiles, responses are sorted by value; four equal sized groups are made from the ordered responses (25% of values for each group).The lines

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7climate change now

c.d.f. Normal c.d.f.

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dividing the groups are called quartiles. The groups are referred to as quartile groups. As the values are ordered, the first quartile (25%) contains the lowest values. The inter-quartile range (IQR) – the box – contains the middle 50% of the scores. 75% of the scores fall below the upper quartile and 25% of scores fall below the lower quartile. The upper and lower whiskers represent scores outside of the middle 50%. A short box represents a high level of agreement. A long box suggests there are a number of opinions. If one box is much shorter or longer than another, this could suggest a difference between groups. The median is in the middle of the box only if the distribution is symmetric. If the median line is closer to the left of the box than to the right of the box the data are skewed in that direction. If the median is closer to the right of the box then tail of the distribution is towards those values.

Structure of Survey

The survey is divided into 8 sections:

1. Demographics of Sample 2. Climate Science 3. Climate Service Centers 4. The Utility of Climate Models 5. Defining Extreme Events 6. Attribution of Extreme Events 7. Climate and Society 8. Climate Science and Society

Please keep in mind that these results reflect the opinions of the respondents to the survey, not the opinions of the authors! In previous surveys we received criticism from both ‘sceptics’ and ‘alarmists’. We draw no conclusions in this report and present only the data as collected.

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Results of the 2015/2016 Survey of Climate Scientists

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Section 1. Demographics

Responses were forthcoming from some 53 countries. The majority of respondents claimed to have worked in climate science for more than 10 years. Over 90% of the respondents were employed in academic degree granting institutes or publicly funded research non-degree granting institutes.

Table 1. The country in which you live is?

United States 152 23.31%

Romania 4 0.61% Germany 92 14.11%

Russian 3 0.46%

United Kingdom 62 9.51%

South Africa 3 0.46% Canada 33 5.06%

Burkina 2 0.31%

Italy 23 3.53%

Chile 2 0.31% Australia 22 3.37%

Mexico 2 0.31%

France 21 3.22%

Nigeria 2 0.31% Netherlands 17 2.61%

Pakistan 2 0.31%

India 16 2.45%

Portugal 2 0.31% Spain 15 2.30%

Uruguay 2 0.31%

Switzerland 15 2.30%

Bangladesh 1 0.15% Norway 13 1.99%

Benin 1 0.15%

China 12 1.84%

Czech 1 0.15% Iran 12 1.84%

Iceland 1 0.15%

Sweden 11 1.69%

Indonesia 1 0.15% Austria 9 1.38%

Ivory 1 0.15%

New Zealand 8 1.23%

Jamaica 1 0.15% Finland 7 1.07%

Lithuania 1 0.15%

Poland 7 1.07%

Malaysia 1 0.15% Brazil 6 0.92%

Nepal 1 0.15%

Ireland 6 0.92%

Serbia 1 0.15% Japan 6 0.92%

Singapore 1 0.15%

Belgium 5 0.77%

Taiwan 1 0.15% Croatia 5 0.77%

Tanzania 1 0.15%

Denmark 5 0.77%

Uganda 1 0.15% Greece 5 0.77%

Israel 5 0.77%

Total n = 633 100% Argentina 4 0.61%

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Table 2. The approximate number of years you have worked in science is?

Number of Years Freq Percent 0-5 79 12.27 6-10 156 24.22 11-15 118 18.32 More than 15 291 45.19 Total complete responses 644 100

Table 3. What best describes the institute in which you work?

Type of Institute Freq Percent Academic degree granting 395 61.43 Privately funded research non-degree granting 9 1.40 Publicly funded research non-degree granting 193 30.02 NGO 5 0.78 Corporate 9 1.40 Other 32 4.98 Total complete responses 643 100

Table 4. The focus of most of your work is?

Focus of work Freq Percent Atmospheric modelling 134 20.78 Oceanic modelling 29 4.50 Measurement and observation 101 15.66 Down-scaling 47 7.29 Physical processes 94 14.57 Paleoclimatology 64 9.92 Socio-economic impact assessment 15 2.33 Ecological impact assessment 19 2.95 Adaptation strategies 14 2.17 Science policy administration 5 0.78 Other – climate related 117 18.14 Other – non-climate related 6 0.93 Total complete responses 645 100

Table 5. Were you involved (author, reviewer, etc.) with the 2014 IPCC AR5 Report?

IPCC Involvement Freq Percent Yes 208 32 No 442 68 Total complete responses 650 100

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Section 2. Climate Science

Figure 1. (v006) How convinced are you that climate change, whether natural or anthropogenic, is occurring now?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 642

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v006 | 6.649533 .0328523 6.585022 6.714044

--------------------------------------------------------------

IPCC Involvement n=152 Climate Science

No IPCC Involvement n=312

IPCC Involvement n=55 Affiliated Science

No IPCC Involvement n=113

.1558 .1558 1.713 1.2465.296

12.15

79.28

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7climate change now

1 2 3 4 5 6 7climate change now

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7climate change now

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7climate change now

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 2. (v007) How convinced are you that most of recent or near future climate change is, or will be, the result of anthropogenic causes?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 640

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v007 | 5.970313 .0538165 5.864634 6.075991

--------------------------------------------------------------

IPCC Involvement n=152 Climate Science

No IPCC Involvement n=312

IPCC Involvement n=54 Affiliated Science

No IPCC Involvement n=112

1.875 2.031 1.8756.875

13.75

25.94

47.66

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7anthropogenic influence

1 2 3 4 5 6 7anthropogenic influence

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7anthropogenic influence

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7anthropogenic influence

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 3. (v008) Climate models accurately simulate the climatic conditions for which they are calibrated.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 626

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v008 | 4.696486 .0505138 4.597288 4.795683

--------------------------------------------------------------

IPCC Involvement n=147 Climate Science

No IPCC Involvement n=306

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=112

2.875 3.8347.827

19.97

41.53

19.65

4.313

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7models simulate climatic condition

1 2 3 4 5 6 7models simulate climatic condition

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7models simulate climatic condition

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7models simulate climatic condition

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 4. (v009a) How well do you think atmospheric models can deal with hydrodynamics?

very inadequate 1 2 3 4 5 6 7 very adequate

Mean estimation Number of obs = 570

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v009a | 4.789474 .0576184 4.676303 4.902644

--------------------------------------------------------------

IPCC Involvement n=139 Climate Science

No IPCC Involvement n=281

IPCC Involvement n=47 Affiliated Science

No IPCC Involvement n=94

1.935.789

8.421

20

30.88

25.09

7.895

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7hydrodynamics

1 2 3 4 5 6 7hydrodynamics

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7hydrodynamics

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7hydrodynamics

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 5. (v009b) How well do you think atmospheric models can deal with radiation?

very inadequate 1 2 3 4 5 6 7 very adequate

Mean estimation Number of obs = 589

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v009b | 5.426146 .0502939 5.327369 5.524923

--------------------------------------------------------------

IPCC Involvement n=148 Climate Science

No IPCC Involvement n=287

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=95

.33962.716 4.754

11.88

23.09

40.92

16.3

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7radiation

1 2 3 4 5 6 7radiation

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7radiation

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7radiation

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 6. (v009c) How well do you think atmospheric models can deal with the influence of clouds?

very inadequate 1 2 3 4 5 6 7 very adequate

Mean estimation Number of obs = 602

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v009c | 3.395349 .0520954 3.293038 3.49766

--------------------------------------------------------------

IPCC Involvement n=151 Climate Science

No IPCC Involvement n=294

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=98

6.478

17.77

30.925.25

14.95

3.4881.163

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7clouds

1 2 3 4 5 6 7clouds

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7clouds

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7clouds

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 7. (v009d) How well do you think atmospheric models can deal with precipitation?

very inadequate 1 2 3 4 5 6 7 very adequate

Mean estimation Number of obs = 602

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v009d | 3.775748 .0563473 3.665086 3.886409

--------------------------------------------------------------

IPCC Involvement n=147 Climate Science

No IPCC Involvement n=296

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=98

6.478

17.77

30.925.25

14.95

3.4881.163

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7clouds

1 2 3 4 5 6 7precipitation

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7clouds

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7precipitation

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 8. (v010a)How well do you think ocean models can deal with hydrodynamics?

very inadequate 1 2 3 4 5 6 7 very adequate

Mean estimation Number of obs = 433

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v010a | 5.023095 .0600164 4.905134 5.141055

--------------------------------------------------------------

IPCC Involvement n=113 Climate Science

No IPCC Involvement n=208

IPCC Involvement n=40 Affiliated Science

No IPCC Involvement n=66

.9238 1.848

9.931

16.86

31.8728.87

9.7

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7hydrodynamics

1 2 3 4 5 6 7hydrodynamics

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7hydrodynamics

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7hydrodynamics

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure. 9. (v010b) How well do you think ocean models can deal with heat transport in the ocean?

very inadequate 1 2 3 4 5 6 7 very adequate

Mean estimation Number of obs = 445

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v010b | 4.788764 .0570979 4.676548 4.90098

--------------------------------------------------------------

IPCC Involvement n=120 Climate Science

No IPCC Involvement n=211

IPCC Involvement n=41 Affiliated Science

No IPCC Involvement n=67

.89893.371

10.56

20

35.73

25.17

4.27

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7heat transport

1 2 3 4 5 6 7heat transport

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7heat transport

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7heat transport

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 10. (v010c) How well do you think ocean models can deal with oceanic convection?

very inadequate 1 2 3 4 5 6 7 very adequate

Mean estimation Number of obs = 428

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v010c | 4.100467 .06652 3.96972 4.231215

--------------------------------------------------------------

IPCC Involvement n=110 Climate Science

No IPCC Involvement n=206

IPCC Involvement n=41 Affiliated Science

No IPCC Involvement n=65

2.336

11.21

20.5624.77 25

13.32

2.804

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7convection

1 2 3 4 5 6 7convection

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7convection

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7convection

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 11. (v011a) The current state of scientific knowledge is developed well enough to allow for a reasonable estimate of the effects of turbulence on climate?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 526

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v011a| 3.73384 .0609163 3.614171 3.85351

--------------------------------------------------------------

IPCC Involvement n=136 Climate Science

No IPCC Involvement n=253

IPCC Involvement n=44 Affiliated Science

No IPCC Involvement n=86

5.703

15.4

22.43 22.81 24.9

7.414

1.331

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7turbulance

1 2 3 4 5 6 7turbulance

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7turbulance

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7turbulance

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 12. (v011b) The current state of scientific knowledge is developed well enough to allow for a reasonable estimate of the effects of land surface processes on climate?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 582

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v011b | 4.434708 .0510438 4.334455 4.534961

--------------------------------------------------------------

IPCC Involvement n=142 Climate Science

No IPCC Involvement n=278

IPCC Involvement n=50 Affiliated Science

No IPCC Involvement n=102

1.894.639

15.64

24.74

33.68

17.87

1.546

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7land surface processes

1 2 3 4 5 6 7land surface processes

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7land surface processes

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7land surface processes

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 13. (v011c) The current state of scientific knowledge is developed well enough to allow for a reasonable estimate of the effects of sea ice on climate?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 570

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v011c | 4.529825 .0556934 4.420435 4.639214

--------------------------------------------------------------

IPCC Involvement n=146 Climate Science

No IPCC Involvement n=273

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=93

1.7546.14

14.74

20.7

31.58

21.58

3.509

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7sea ice

1 2 3 4 5 6 7sea ice

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7sea ice

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7sea ice

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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23

Figure 14. (v011d) The current state of scientific knowledge is developed well enough to allow for a reasonable estimate of the effects of greenhouse gases from anthropogenic sources on climate?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 600

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v011d | 5.533333 .0551553 5.425012 5.641655

--------------------------------------------------------------

IPCC Involvement n=151 Climate Science

No IPCC Involvement n=290

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=98

1.5 3.333 48.833

19

40.5

22.83

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7green house gases

1 2 3 4 5 6 7green house gases

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7green house gases

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7green house gases

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 15. (v012a) How would you rate the ability of global climate models to simulate a global mean value for temperature values for the next 10 years?

very poor 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 603

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v012a | 4.860697 .0643311 4.734356 4.987037

--------------------------------------------------------------

IPCC Involvement n=148 Climate Science

No IPCC Involvement n=288

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=105

2.8198.292 8.789

14.43

25.21 26.7

13.76

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7temperature next 10 years

1 2 3 4 5 6 7temperature next 10 years

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7temperature next 10 years

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7temperature next 10 years

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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25

Figure 16. (v012b) How would you rate the ability of global climate models to simulate a global mean value for precipitation values for the next 10 years?

very poor 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 600

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v012b | 3.553333 .0607936 3.433939 3.672728

--------------------------------------------------------------

IPCC Involvement n=144 Climate Science

No IPCC Involvement n=289

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=105

10.8315.5

20.3323.83

21.33

6.6671.5

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7precipitation next 10 years

1 2 3 4 5 6 7precipitation next 10 years

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7precipitation next 10 years

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7precipitation next 10 years

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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26

Figure 17. (v012c) How would you rate the ability of global climate models to simulate a global mean value for sea level rise for the next 10 years?

very poor 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 581

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v012c | 4.741824 .0605942 4.622814 4.860835

--------------------------------------------------------------

IPCC Involvement n=144 Climate Science

No IPCC Involvement n=277

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=100

3.0985.508

10.84

18.07

27.71 26.68

8.09

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7sea level next 10 years

1 2 3 4 5 6 7sea level next 10 years

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7sea level next 10 years

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7sea level next 10 years

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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27

Figure 18. (v012d) How would you rate the ability of global climate models to simulate a global mean value for temperature values for the next 50 years?

very poor 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 600

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v012d| 4.765 .0608753 4.645445 4.884555

--------------------------------------------------------------

IPCC Involvement n=148 Climate Science

No IPCC Involvement n=286

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=104

4.167 4.8339.667

16.83

29.6725.83

9

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7temperature next 50 years

1 2 3 4 5 6 7temperature next 50 years

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7temperature next 50 years

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7temperature next 50 years

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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28

Figure 19. (v012e) How would you rate the ability of global climate models to simulate a global mean value for precipitation values for the next 50 years?

very poor 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 598

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v012e | 3.38796 .0590772 3.271935 3.503984

--------------------------------------------------------------

IPCC Involvement n=145 Climate Science

No IPCC Involvement n=287

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=104

12.71 14.72

24.75 24.25

16.89

5.853.8361

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7precipitation next 50 years

1 2 3 4 5 6 7precipitation next 50 years

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7precipitation next 50 years

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7precipitation next 50 years

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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29

Figure 20. (v012f) How would you rate the ability of global climate models to simulate a global mean value for sea level rise for the next 50 years?

very poor 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 582

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v012f | 4.204467 .0627315 4.081259 4.327675

--------------------------------------------------------------

IPCC Involvement n=144 Climate Science

No IPCC Involvement n=277

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=100

4.467

10.48

17.8720.62

24.4

18.21

3.952

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7sea level rise

1 2 3 4 5 6 7sea level rise

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7sea level rise

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7sea level rise

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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30

Figure 21. (v013) Since 1850, it is estimated that the world has warmed by 0.5 - 0.7 degrees C. Approximately what percent would you attribute to human causes?

1 = 0% 2 = 1%-25% 3 = 26%-50% 4 = 51%-75% 5 = 76-100%

Mean estimation Number of obs = 587

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v013 | 4.265758 .0359491 4.195153 4.336363

--------------------------------------------------------------

IPCC Involvement n=143 Climate Science

No IPCC Involvement n=282

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=102

.68144.429

10.73

35.95

48.21

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5anthropogenic attribution

1 2 3 4 5anthropogenic attribution

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5anthropogenic attribution

c.d.f. Normal c.d.f. 1 2 3 4 5anthropogenic attribution

no IPCC involvement

IPCC involvement

Affiliated science

Climate Science

Affiliated science

Climate Science

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31

Section 3 Climate Service Centers

Figure 22. (v014) Climate service centers have become a somewhat recent addition to climate research. How aware are you of the services offered by climate service centers?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 610

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v014 | 4.081967 .0776152 3.929541 4.234393

--------------------------------------------------------------

IPCC Involvement n=150 Climate Science

No IPCC Involvement n=288

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=110

11.6415.08

11.9715.9

18.3614.26 12.79

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7service center awareness

1 2 3 4 5 6 7service center awareness

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7service center awareness

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7service center awareness

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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32

Figure 23. (v015a) As a scientist, would you expect the role of climate service centers to be to present the results of scientific research to the public in an understandable way?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 571

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v015a | 6.015762 .0529598 5.911742 6.119782

--------------------------------------------------------------

IPCC Involvement n=136 Climate Science

No IPCC Involvement n=272

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=106

.7005 1.5764.028 5.429

12.43

29.07

46.76

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7climate services and public

1 2 3 4 5 6 7rclimate services and public

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7rclimate services and public

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7rclimate services and public

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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33

Figure 24. (v015b) As a scientist, would you expect the role of climate service centers to be to present to scientists new applied research questions resulting from public engagement?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 565

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v015b | 5.221239 .0636093 5.096299 5.346179

--------------------------------------------------------------

IPCC Involvement n=136 Climate Science

No IPCC Involvement n=269

IPCC Involvement n=48 Affiliated Science

No IPCC Involvement n=104

1.0626.372 6.726

13.27

23.5425.84

23.19

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7climate services and science

1 2 3 4 5 6 7climate services and science

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7climate services and science

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7climate services and science

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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34

Figure 25. (v015c) As a scientist, would you expect the role of climate service centers to be to operate in parallel with climate research to develop relevant knowledge for decision making?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 569

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v015c| 5.72232 .0638628 5.596884 5.847756

--------------------------------------------------------------

IPCC Involvement n=136 Climate Science

No IPCC Involvement n=270

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=106

1.5824.218 5.097

7.557

14.41

25.31

41.83

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7climate services and stakeholders

1 2 3 4 5 6 7climate services and stakeholders

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7climate services and stakeholders

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7climate services and stakeholders

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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35

Figure 26. (v015d) As a scientist, would you expect the role of climate service centers to be to initiate public/political reactions to the issue of climate change?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 558

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v015d | 4.679211 .0811663 4.519782 4.838641

--------------------------------------------------------------

IPCC Involvement n=134 Climate Science

No IPCC Involvement n=266

IPCC Involvement n=47 Affiliated Science

No IPCC Involvement n=103

8.961 8.781 9.49812.9

18.82 20.07 20.97

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7climate services as activists

1 2 3 4 5 6 7climate services as activists

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7climate services as activists

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7climate services as activists

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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36

Table 6. (v016) Do you think climate service centers are a source of funding for scientific research projects?

yes – 168 (%25.85)

no – 482 (%74.15)

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37

Section 4. The Utility of Models

We refer to dynamical process based models, not statistical models. Such climate models describe the dynamics of the atmosphere, the ocean and the cryosphere (and possibly more components) and their interactions. Such models calculate the change of state variables, such as temperature at a given time and location, and the sum of influences of various processes such as advection, conversion of energy or fluxes across boundaries, etc.

Figure 27. (v017) Your level of familiarity with such models is

none 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 605

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v017 | 4.935537 .0602497 4.817213 5.053862

--------------------------------------------------------------

IPCC Involvement n=149 Climate Science

No IPCC Involvement n=289

IPCC Involvement n=54 Affiliated Science

No IPCC Involvement n=103

1.1575.95

10.58

17.85

25.6222.64

16.2

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7familiarity with climate models

1 2 3 4 5 6 7familiarity with climate models

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7familiarity with climate models

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7familiarity with climate models

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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38

Figure 28. (v018a) Such models are able to generate what level of knowledge about the functioning of the climate system and its components?

none 1 2 3 4 5 6 7 a very high level

Mean estimation Number of obs = 559

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v018a | 5.413238 .0439147 5.32698 5.499496

--------------------------------------------------------------

IPCC Involvement n=146 Climate Science

No IPCC Involvement n=269

IPCC Involvement n=50 Affiliated Science

No IPCC Involvement n=84

.3578 .89454.83

8.05

32.92

42.75

10.2

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7system function

1 2 3 4 5 6 7system function

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7system function

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7system function

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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39

Figure 29. (v018b) Such models are able to generate what level of knowledge about the relevance of specific dynamical processes for the climate system?

none 1 2 3 4 5 6 7 a very high level

Mean estimation Number of obs = 555

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v018b | 5.423423 .0476288 5.329868 5.516978

--------------------------------------------------------------

IPCC Involvement n=145 Climate Science

No IPCC Involvement n=269

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=82

.5405 1.982 3.7849.369

29.55

42.16

12.61

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7dynamic processes

1 2 3 4 5 6 7dynamic processes

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7dynamic processes

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7dynamic processes

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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40

Figure 30. (v018c) Such models are able to generate what level of knowledge about the future of the climate system?

none 1 2 3 4 5 6 7 a very high level

Mean estimation Number of obs = 560

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v018c | 4.857143 .055567 4.747997 4.966289

--------------------------------------------------------------

IPCC Involvement n=146 Climate Science

No IPCC Involvement n=267

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=86

2.55.179 6.071

15.54

36.43

29.64

4.643

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7future

1 2 3 4 5 6 7future

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7future

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7future

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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41

Figure 31. (v018d) Such models are able to generate what level of knowledge about the past of the climate system?

none 1 2 3 4 5 6 7 a very high level

Mean estimation Number of obs = 553

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v018d | 5.018083 .0535643 4.912868 5.123298

--------------------------------------------------------------

I IPCC Involvement n=145 Climate Science

No IPCC Involvement n=265

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=84

1.0853.978 6.148

16.64

33.6330.02

8.499

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7past

1 2 3 4 5 6 7past

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7past

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7past

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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42

Figure 32. (v019a) How much do you agree that the skill of climate models in describing possible future conditions can be derived from the physical logic/dynamics built into the model?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 532

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v019a | 5.447368 .0532002 5.34286 5.551877

--------------------------------------------------------------

IPCC Involvement n=137 Climate Science

No IPCC Involvement n=253

IPCC Involvement n=48 Affiliated Science

No IPCC Involvement n=84

.7519 2.444 3.759

10.9

27.07

36.65

18.42

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7logic/dyanamic

1 2 3 4 5 6 7logic/dyanamic

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7logic/dyanamic

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7logic/dyanamic

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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43

Figure 33. (019b) How much do you agree that the skill of climate models in describing possible future conditions can be derived from the skill of models on describing past conditions?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 532

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v019b | 5.182331 .0552817 5.073733 5.290928

--------------------------------------------------------------

IPCC Involvement n=139 Climate Science

No IPCC Involvement n=252

IPCC Involvement n=48 Affiliated Science

No IPCC Involvement n=83

.9398 3.0086.391

14.1

30.64 31.95

12.97

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7past

1 2 3 4 5 6 7past

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7past

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7past

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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44

Figure 34. (v019c) How much do you agree that the skill of climate models in describing possible future conditions can be derived from the skill of models in describing the present conditions?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 536

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v019c | 5.283582 .0537639 5.177968 5.389196

--------------------------------------------------------------

IPCC Involvement n=139 Climate Science

No IPCC Involvement n=253

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=85

.37313.545 4.851

13.25

28.92

34.7

14.37

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7present

1 2 3 4 5 6 7present

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7present

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7present

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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45

Figure 35. (v019d) How much do you agree that the skill of climate models in describing possible future conditions can be derived from the convergence of recognized climate models?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 524

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v019d | 4.517176 .0680973 4.383398 4.650953

--------------------------------------------------------------

IPCC Involvement n=137 Climate Science

No IPCC Involvement n=249

IPCC Involvement n=47 Affiliated Science

No IPCC Involvement n=81

4.3898.206

12.02

20.6123.47 24.05

7.252

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7convergence

1 2 3 4 5 6 7convergence

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7convergence

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7convergence

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 36. (v020) To what degree do you think that, through the process of downscaling, it is possible to determine local climate change?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 554

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v020 | 4.236462 .054141 4.130115 4.342809

--------------------------------------------------------------

IPCC Involvement n=135 Climate Science

No IPCC Involvement n=266

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=94

2.3477.04

18.5924.37

34.48

10.65

2.527

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7downscaling

1 2 3 4 5 6 7downscaling

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7downscaling

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7downscaling

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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47

Section 5. Extreme Events

Section 5.a. Defining Extreme Events

Figure 37. (v021a) When defining an extreme event, how would you rate the importance of considering the damage caused by the weather event?

not important at all 1 2 3 4 5 6 7 very important

Mean estimation Number of obs = 550

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v021a | 4.747273 .0834325 4.583387 4.911159

--------------------------------------------------------------

IPCC Involvement n=138 Climate Science

No IPCC Involvement n=253

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=98

8.545 9.818 8.72712

17.45 19.0924.36

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7damage

1 2 3 4 5 6 7damage

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7damage

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7damage

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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48

Figure 38. (v021b). When defining an extreme event, how would you rate the importance of considering the deviation from the meteorological mean?

not important at all 1 2 3 4 5 6 7 very important

Mean estimation Number of obs = 561

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v021b | 5.926916 .0536426 5.821551 6.032281

--------------------------------------------------------------

IPCC Involvement n=141 Climate Science

No IPCC Involvement n=260

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=99

.713 1.783 3.2096.952

15.86

28.7

42.78

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7deviation from mean

1 2 3 4 5 6 7deviation from mean

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7deviation from mean

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7deviation from mean

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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49

Figure 39. (v021c). When defining an extreme event, how would you rate the importance of the considering probability of such an event occurring?

not important at all 1 2 3 4 5 6 7 very important

Mean estimation Number of obs = 560

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v021c | 6.148214 .0460106 6.057839 6.238589

--------------------------------------------------------------

IPCC Involvement n=139 Climate Science

No IPCC Involvement n=259

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=100

.3571 .7143 2.321 4.286

13.57

30.18

48.57

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7probability

1 2 3 4 5 6 7probability

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7probability

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7probability

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 40. (v021d). When defining an extreme event, how would you rate the importance of the considering the geographic location of the event?

not important at all 1 2 3 4 5 6 7 very important

Mean estimation Number of obs = 550

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v021d | 4.609091 .0821743 4.447676 4.770506

--------------------------------------------------------------

IPCC Involvement n=141 Climate Science

No IPCC Involvement n=253

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=96

8.727 9.818 11.27 12.9116.18

21.45 19.64

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7location

1 2 3 4 5 6 7location

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7location

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7location

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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51

Figure 41. (v021e). When defining an extreme event, how would you rate the importance of the considering the geographic dimension of the event?

not important at all 1 2 3 4 5 6 7 very important

Mean estimation Number of obs = 546

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v021e | 5.25641 .0654346 5.127875 5.384945

--------------------------------------------------------------

IPCC Involvement n=140 Climate Science

No IPCC Involvement n=250

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=98

2.0155.495 5.861

13

22.16

28.0223.44

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7dimension

1 2 3 4 5 6 7dimension

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7dimension

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7probability

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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52

Figure 42. (v021f). When defining an extreme event, how would you rate the importance of the considering the duration of the event?

not important at all 1 2 3 4 5 6 7 very important

Mean estimation Number of obs = 553

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v021f | 5.486438 .0626503 5.363375 5.6095

--------------------------------------------------------------

IPCC Involvement n=141 Climate Science

No IPCC Involvement n=255

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=97

1.6274.34 5.063

9.765

19.71

30.9228.57

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7duration

1 2 3 4 5 6 7duration

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7duration

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7duration

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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53

Figure 43. (v021g). When defining an extreme event, how would you rate the importance of the considering the number of human lives lost to the event?

not important at all 1 2 3 4 5 6 7 very important

Mean estimation Number of obs = 551

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v021g | 4.560799 .0870745 4.389759 4.731838

--------------------------------------------------------------

IPCC Involvement n=140 Climate Science

No IPCC Involvement n=254

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=96

10.34 11.629.074

14.52 14.7 14.52

25.23

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7loss of life

1 2 3 4 5 6 7loss of life

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7loss of life

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7loss of life

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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54

Figure 44. (v021h). When defining an extreme event, how would you rate the importance of the considering the economic costs?

not important at all 1 2 3 4 5 6 7 very important

Mean estimation Number of obs = 550

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v021h | 4.418182 .0840248 4.253132 4.583231

--------------------------------------------------------------

IPCC Involvement n=139 Climate Science

No IPCC Involvement n=255

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=96

10.73 128.545

16.55 16.18 17.64 18.36

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7economic cost

1 2 3 4 5 6 7economic cost

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7economic cost

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7economic cost

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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55

Section 5.b. Extreme events where you live: convective rainfall/thunder storms

Figure 45. (v022a) In the region where you live the frequency of convective rainfall events / thunder storms in the last 20 years has

decreased 1 2 3 not changed 4 5 6 7 increased

Mean estimation Number of obs = 423

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v022a | 4.64539 .0551438 4.536999 4.753781

--------------------------------------------------------------

IPCC Involvement n=109 Climate Science

No IPCC Involvement n=191

IPCC Involvement n=39 Affiliated Science

No IPCC Involvement n=78

1.182 .70925.437

47.04

25.06

11.828.747

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7frequency

1 2 3 4 5 6 7frequency

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7frequency

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7frequency

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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56

Figure 46. (v022b) In the region where you live the intensity of convective rainfall events / thunder storms in the last 20 years has

decreased 1 2 3 not changed 4 5 6 7 increased

Mean estimation Number of obs = 431

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v022b | 5.085847 .0532656 4.981153 5.19054

--------------------------------------------------------------

IPCC Involvement n=112 Climate Science

No IPCC Involvement n=195

IPCC Involvement n=40 Affiliated Science

No IPCC Involvement n=78

.464 .6961 1.856

30.63 31.55

22.74

12.06

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7intensity

1 2 3 4 5 6 7intensity

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7intensity

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7intensity

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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57

Figure 47. (v023a) In the region where you live, what change in the frequency of convective rainfall events / thunder storms would you expect in the next 50 years

decrease 1 2 3 no change 4 5 6 7 increase

Mean estimation Number of obs = 446

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v023a | 4.943946 .0613743 4.823327 5.064566

--------------------------------------------------------------

IPCC Involvement n=112 Climate Science

No IPCC Involvement n=210

IPCC Involvement n=39 Affiliated Science

No IPCC Involvement n=78

1.57 2.018

7.848

22.2

34.98

18.1613.23

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7frequency

1 2 3 4 5 6 7frequency

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7frequency

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7frequency

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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58

Figure 48. (v023b) In the region where you live, what change in the intensity of convective rainfall events / thunder storms would you expect in the next 50 years

decrease 1 2 3 no change 4 5 6 7 increase

Mean estimation Number of obs = 457

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v023b | 5.571116 .0484876 5.475829 5.666403

--------------------------------------------------------------

IPCC Involvement n=113 Climate Science

No IPCC Involvement n=217

IPCC Involvement n=41 Affiliated Science

No IPCC Involvement n=79

.4376 .6565 1.313

9.409

35.01 33.48

19.69

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7intensity

1 2 3 4 5 6 7intensity

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7intensity

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7intensity

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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59

Section 5.c. Extreme events on a global scale: convective rainfall/thunder storms

Figure 49. (v024a) On a global scale the frequency of convective rainfall events / thunder storms in the last 20 years has

decreased 1 2 3 not changed 4 5 6 7 increased

Mean estimation Number of obs = 390

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v024a | 4.841026 .0549533 4.732983 4.949068

--------------------------------------------------------------

IPCC Involvement n=100 Climate Science

No IPCC Involvement n=176

IPCC Involvement n=38 Affiliated Science

No IPCC Involvement n=69

.2564 2.051 4.359

32.5635.64

17.69

7.436

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7frequency

1 2 3 4 5 6 7frequency

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7frequency

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7frequency

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 50. (v024b) On a global scale the intensity of convective rainfall events / thunder storms in the last 20 years has

decreased 1 2 3 not changed 4 5 6 7 increased

Mean estimation Number of obs = 397

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v024b | 5.31738 .0477205 5.223563 5.411198

--------------------------------------------------------------

IPCC Involvement n=103 Climate Science

No IPCC Involvement n=179

IPCC Involvement n=38 Affiliated Science

No IPCC Involvement n=70

1.008 .7557

14.61

44.08

28.21

11.34

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7intensity

1 2 3 4 5 6 7intensity

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7intensity

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7intensity

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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61

Figure 51. (v025a) On a global scale, what change in the frequency of convective rainfall events / thunder storms would you expect in the next 50 years?

decrease 1 2 3 no change 4 5 6 7 increase

Mean estimation Number of obs = 425

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v025a | 5.169412 .0595862 5.052291 5.286533

--------------------------------------------------------------

IPCC Involvement n=111 Climate Science

No IPCC Involvement n=199

IPCC Involvement n=39 Affiliated Science

No IPCC Involvement n=74

.7059 2.1186.588

15.53

33.4128.47

13.18

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7frequency

1 2 3 4 5 6 7frequency

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7frequency

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7frequency

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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62

Figure 52. (v025b) On a global scale, what change in the intensity of convective rainfall events / thunder storms would you expect in the next 50 years?

decrease 1 2 3 no change 4 5 6 7 increase

Mean estimation Number of obs = 444

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v025b | 5.759009 .0453888 5.669805 5.848213

--------------------------------------------------------------

IPCC Involvement n=126 Climate Science

No IPCC Involvement n=208

IPCC Involvement n=43 Affiliated Science

No IPCC Involvement n=75

.2252 .6757 1.1264.955

28.83

42.34

21.85

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7intensity

1 2 3 4 5 6 7intensity

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7intensity

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7intensity

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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63

Section 5.d. Extreme events on a global scale: heat waves

Figure 53. (v026a) On a global scale over the last 20 years the frequency of heat waves has

decreased 1 2 3 not changed 4 5 6 7 increased

Mean estimation Number of obs = 491

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v026a | 5.596741 .0420867 5.514049 5.679434

--------------------------------------------------------------

IPCC Involvement n=127 Climate Science

No IPCC Involvement n=222

IPCC Involvement n=45 Affiliated Science

No IPCC Involvement n=89

.4073 .4073

8.961

38.2933.2

18.74

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v026[v026a]

1 2 3 4 5 6 7v026[v026a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v026[v026a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v026[v026a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 54. (v026b) On a global scale over the last 20 years the intensity of heat waves has

decreased 1 2 3 not changed 4 5 6 7 increased

Mean estimation Number of obs = 498

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v026b | 5.75502 .0402067 5.676024 5.834016

--------------------------------------------------------------

IPCC Involvement n=132 Climate Science

No IPCC Involvement n=226

IPCC Involvement n=46 Affiliated Science

No IPCC Involvement n=90

.2008 .4016

6.627

31.12

39.76

21.89

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v026[v026b]

1 2 3 4 5 6 7v026[v026b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v026[v026b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v026[v026b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 55. (var027a) On a global scale, what change in the frequency of heat waves would you expect in the next 50 years?

decrease 1 2 3 no change 4 5 6 7 increase

Mean estimation Number of obs = 509

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v027a | 6.072692 .0396404 5.994812 6.150571

--------------------------------------------------------------

IPCC Involvement n=134 Climate Science

No IPCC Involvement n=232

IPCC Involvement n=45 Affiliated Science

No IPCC Involvement n=91

.1965 .78593.929

18.07

40.6736.35

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v027[v027a]

1 2 3 4 5 6 7v027[v027a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v027[v027a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v027[v027a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 56. (var027b) On a global scale, what change in the intensity of heat waves would you expect in the next 50 years?

decrease 1 2 3 no change 4 5 6 7 increase

Mean estimation Number of obs = 513

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v027b | 6.183236 .0367522 6.111032 6.25544

--------------------------------------------------------------

IPCC Involvement n=114 Climate Science

No IPCC Involvement n=233

IPCC Involvement n=46 Affiliated Science

No IPCC Involvement n=91

.5848 2.729

15.4

40.35 40.94

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v027[v027b]

1 2 3 4 5 6 7v027[v027b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v027[v027b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v027[v027b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Section 5.e. Extreme events on a global scale: tropical storms (hurricane/typhoons)

Figure 57. (var028a) Over the last 20 years, the frequency of tropical storms (hurricanes, typhoons) has

decreased 1 2 3 not changed 4 5 6 7 increased

Mean estimation Number of obs = 429

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v028a | 4.517483 .0461534 4.426767 4.608198

--------------------------------------------------------------

IPCC Involvement n=114 Climate Science

No IPCC Involvement n=184

IPCC Involvement n=43 Affiliated Science

No IPCC Involvement n=80

.4662 .69934.196

55.01

25.41

9.3244.895

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v028[v028a]

1 2 3 4 5 6 7v028[v028a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v028[v028a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v028[v028a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 58. (var028b) Over the last 20 years, the intensity of tropical storms (hurricanes, typhoons) has

decreased 1 2 3 not changed 4 5 6 7 increased

Mean estimation Number of obs = 427

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v028b | 5.051522 .0496752 4.953883 5.149161

--------------------------------------------------------------

IPCC Involvement n=114 Climate Science

No IPCC Involvement n=184

IPCC Involvement n=41 Affiliated Science

No IPCC Involvement n=80

.4684 .2342 .4684

32.0836.53

19.67

10.54

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v028[v028b]

1 2 3 4 5 6 7v028[v028b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v028[v028b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v028[v028b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 59. (v029a) Over the next 50 years, the frequency of tropical storms (hurricanes, typhoons) will

decrease 1 2 3 no change 4 5 6 7 increase

Mean estimation Number of obs = 414

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v029a | 4.7657 .0568331 4.653982 4.877419

--------------------------------------------------------------

IPCC Involvement n=110 Climate Science

No IPCC Involvement n=181

IPCC Involvement n=36 Affiliated Science

No IPCC Involvement n=79

.7246 1.691

8.454

29.95

36.23

14.49

8.454

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v029[v029a]

1 2 3 4 5 6 7v029[v029a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v029[v029a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v029[v029a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 60. (v029b) Over the next 50 years, the intensity of tropical storms (hurricanes, typhoons) will

decrease 1 2 3 no change 4 5 6 7 increase

Mean estimation Number of obs = 427

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v029b | 5.594848 .0453988 5.505614 5.684081

--------------------------------------------------------------

IPCC Involvement n=113 Climate Science

No IPCC Involvement n=189

IPCC Involvement n=37 Affiliated Science

No IPCC Involvement n=80

.4684 .4684

7.728

39.3433.96

18.03

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v029[v029b]

1 2 3 4 5 6 7v029[v029b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v029[v029b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v029[v029b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Section 5.f. Projections of extreme events: regional climate models

Figure 61. (v030a) How would you rate the ability of regional climate models to make 10 year projections of convective rain storms/ thunderstorms?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 479

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v030a | 3.302714 .0681407 3.168822 3.436606

--------------------------------------------------------------

IPCC Involvement n=120 Climate Science

No IPCC Involvement n=223

IPCC Involvement n=39 Affiliated Science

No IPCC Involvement n=88

13.57

19.83 20.67 22.3416.7

6.054.8351

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v030[v030a]

1 2 3 4 5 6 7v030[v030a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v030[v030a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v030[v030a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 62. (v030b) How would you rate the ability of regional climate models to make 10 year projections of heat waves?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 481

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v030vb | 4.424116 .075483 4.275799 4.572434

--------------------------------------------------------------

IPCC Involvement n=121 Climate Science

No IPCC Involvement n=222

IPCC Involvement n=41 Affiliated Science

No IPCC Involvement n=88

7.692 7.48411.64

18.524.12 23.7

6.861

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v030[v030b]

1 2 3 4 5 6 7v030[v030b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v030[v030b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v030[v030b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 63. (v030c) How would you rate the ability of regional climate models to make 10 year projections of tropical storms (hurricanes/typhoons)?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 459

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v030c | 3.53159 .07493 3.384341 3.67884

--------------------------------------------------------------

IPCC Involvement n=119 Climate Science

No IPCC Involvement n=212

IPCC Involvement n=38 Affiliated Science

No IPCC Involvement n=83

12.8517.65 16.78

23.31

16.78

10.89

1.743

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v030[v030c]

1 2 3 4 5 6 7v030[v030c]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v030[v030c]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v030[v030c]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 64. (v031a) How would you rate the ability of regional climate models to make 50 year projections of convective rain storms/thunder storms?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 473

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v031a | 3.384778 .0665901 3.253928 3.515628

--------------------------------------------------------------

IPCC Involvement n=118 Climate Science

No IPCC Involvement n=221

IPCC Involvement n=41 Affiliated Science

No IPCC Involvement n=85

11.84

17.7622.62 22.2

19.87

4.863.8457

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v031[v031a]

1 2 3 4 5 6 7v031[v031a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v031[v031a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v031[v031a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 65. (v031b) How would you rate the ability of regional climate models to make 50 year projections of heat waves?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 476

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v031b | 4.55042 .0744667 4.404095 4.696745

--------------------------------------------------------------

IPCC Involvement n=119 Climate Science

No IPCC Involvement n=221

IPCC Involvement n=43 Affiliated Science

No IPCC Involvement n=85

5.672 6.723

15.1312.39

28.99

21.64

9.454

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v031[v031b]

1 2 3 4 5 6 7v031[v031b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v031[v031b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v031[v031b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 66. (v031c) How would you rate the ability of regional climate models to make 50 year projections of tropical storms (hurricanes/typhoons)?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 454

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v031c | 3.572687 .0706003 3.433943 3.711432

--------------------------------------------------------------

IPCC Involvement n=115 Climate Science

No IPCC Involvement n=213

IPCC Involvement n=41 Affiliated Science

No IPCC Involvement n=79

9.692

16.9621.15 22.25 20.26

7.93

1.762

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v031[v031c]

1 2 3 4 5 6 7v031[v031c]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v031[v031c]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v031[v031c]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Section 5.g. Projections of extreme events: global climate models

Figure 67. (v032a) How would you rate the ability of global climate models to make 10 year projections of convective rainfall/thunder storms?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 489

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v032a | 3.106339 .0683392 2.972064 3.240615

--------------------------------------------------------------

IPCC Involvement n=125 Climate Science

No IPCC Involvement n=229

IPCC Involvement n=45 Affiliated Science

No IPCC Involvement n=83

15.95

24.5421.27

15.95 17.18

3.681 1.431

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v032[v032a]

1 2 3 4 5 6 7v032[v032a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v032[v032a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v032[v032a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 68. (v032b) How would you rate the ability of global climate models to make 10 year projections of tropical storms (hurricanes/typhoons)?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 471

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v032b | 3.354565 .071566 3.213936 3.495194

--------------------------------------------------------------

IPCC Involvement n=123 Climate Science

No IPCC Involvement n=219

IPCC Involvement n=44 Affiliated Science

No IPCC Involvement n=79

13.16

20.38 21.2318.9 17.2

7.643

1.486

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v032[v032b]

1 2 3 4 5 6 7v032[v032b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v032[v032b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v032[v032b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 69. (v032c) How would you rate the ability of global climate models to make 10 year projections of heat waves?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 486

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v032c | 4.296296 .0748149 4.149295 4.443298

--------------------------------------------------------------

IPCC Involvement n=126 Climate Science

No IPCC Involvement n=226

IPCC Involvement n=46 Affiliated Science

No IPCC Involvement n=81

7.40710.29 11.32

20.3723.05 22.02

5.556

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v032[v032c]

1 2 3 4 5 6 7v032[v032c]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v032[v032c]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v032[v032c]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 70. (v033a) . How would you rate the ability of global climate models to make 50 year projections of convective rain storms/ thunder storms?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 474

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v033a | 3.154008 .0688813 3.018657 3.28936

--------------------------------------------------------------

IPCC Involvement n=123 Climate Science

No IPCC Involvement n=221

IPCC Involvement n=42 Affiliated Science

No IPCC Involvement n=82

15.82

22.36 20.46 19.6216.88

3.376 1.477

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v033[v033a]

1 2 3 4 5 6 7v033[v033a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v033[v033a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v033[v033a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 71. (v033b) . How would you rate the ability of global climate models to make 50 year projections of tropical storms (hurricanes/typhoons)?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 459

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v033b | 3.427015 .0710193 3.287451 3.566579

--------------------------------------------------------------

IPCC Involvement n=122 Climate Science

No IPCC Involvement n=213

IPCC Involvement n=42 Affiliated Science

No IPCC Involvement n=77

12.6418.08 20.04 21.35 20.48

5.8821.525

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v033[v033b]

1 2 3 4 5 6 7v033[v033b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v033[v033b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v033[v033b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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82

Figure 72. (v033c) . How would you rate the ability of global climate models to make 50 year projections of heat waves?

not at all 1 2 3 4 5 6 7 very good

Mean estimation Number of obs = 478

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v033c | 4.587866 .0751541 4.440192 4.73554

--------------------------------------------------------------

IPCC Involvement n=127 Climate Science

No IPCC Involvement n=218

IPCC Involvement n=46 Affiliated Science

No IPCC Involvement n=81

5.02110.04 8.577

17.36

25.7323.01

10.25

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v033[v033c]

1 2 3 4 5 6 7v033[v033c]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v033[v033c]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v033[v033c]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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83

Section 6. Attribution of Extreme Events

For some years, efforts have been underway to attribute cause of extreme events (heat waves, storms, etc.) to external drivers, in particular to elevated atmospheric concentrations of greenhouse gases.

Figure 73. (v034) How much do you think such efforts have provided robust evidence of attributing events to causes?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 520

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v034 | 4.353846 .0652461 4.225667 4.482025

--------------------------------------------------------------

IPCC Involvement n=133 Climate Science

No IPCC Involvement n=241

IPCC Involvement n=48 Affiliated Science

No IPCC Involvement n=90

4.0389.423

12.69

21.54

32.69

12.57.115

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v034

1 2 3 4 5 6 7v034

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v034

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v034

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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84

Figure 74. (v035) How much would successful attribution efforts help to disentangle the dynamics and sensitivities of the climate system?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 506

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v035 | 5.017787 .0589781 4.901914 5.133659

--------------------------------------------------------------

IPCC Involvement n=128 Climate Science

No IPCC Involvement n=235

IPCC Involvement n=47 Affiliated Science

No IPCC Involvement n=89

1.779 2.9648.498

13.83

36.36

24.51

12.06

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v035

1 2 3 4 5 6 7v035

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v035

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v035

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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85

Figure 75. (v036) If such efforts were successful, how much would the results demonstrate the urgency of reducing greenhouse gases?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 512

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval] -------------+------------------------------------------------

v036 | 5.591797 .0616901 5.470599 5.712994 --------------------------------------------------------------

IPCC Involvement n=129 Climate Science

No IPCC Involvement n=237

IPCC Involvement n=50 Affiliated Science

No IPCC Involvement n=88

1.953 2.1484.492

7.617

25.39 26.7631.64

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v036

1 2 3 4 5 6 7v036

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v036

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v036

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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86

Figure 76. (v037) If such efforts were successful, how much would they support the design of adaptation strategies?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 513

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval] -------------+------------------------------------------------

v037 | 5.37232 .0585979 5.257198 5.487442 --------------------------------------------------------------

IPCC Involvement n=131 Climate Science

No IPCC Involvement n=236

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=89

.58483.704 5.068

12.09

26.5131.19

20.86

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v037

1 2 3 4 5 6 7v037

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v037

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v037

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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87

Figure 77. (v038) With how much certainty can we attribute recent extreme climate events to climate change (anthropogenic or otherwise)?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 521

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval] -------------+------------------------------------------------

v038 | 4.253359 .067066 4.121605 4.385113 --------------------------------------------------------------

IPCC Involvement n=128 Climate Science

No IPCC Involvement n=243

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=91

3.839

11.5215.55

21.11

27.45

13.63

6.91

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v038

1 2 3 4 5 6 7v038

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v038

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v038

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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88

Figure 78. (v39a) The significance of an investigation of an individual extreme weather event that has already occurred, is to improve the planning and execution of climate adaptation strategies with the use of evidence bases planning.

not significant 1 2 3 4 5 6 7 very significant

Mean estimation Number of obs = 496

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v039a | 5.149194 .0701718 5.011322 5.287065

--------------------------------------------------------------

IPCC Involvement n=125 Climate Science

No IPCC Involvement n=228

IPCC Involvement n=46 Affiliated Science

No IPCC Involvement n=89

3.226 5.047.661

9.879

26.21 27.82

20.16

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v039[v039a]

1 2 3 4 5 6 7v039[v039a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v039[v039a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v039[v039a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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89

Figure 79. (v039b) The significance of an investigation of an individual extreme weather event that has already occurred is to make climate change visible and convince citizens of the reality of climate change.

not significant 1 2 3 4 5 6 7 very significant

Mean estimation Number of obs = 491

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v039b | 4.486762 .082981 4.323719 4.649804

--------------------------------------------------------------

IPCC Involvement n=126 Climate Science

No IPCC Involvement n=225

IPCC Involvement n=46 Affiliated Science

No IPCC Involvement n=86

7.73912.02

9.77613.65

23.0118.74

15.07

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v039[v039b]

1 2 3 4 5 6 7v039[v039b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v039[v039b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v039[v039b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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90

Figure 80. (v039c) The significance of an investigation of an individual extreme weather event that has already occurred is to try to determine a method of assessing the anthropogenic influence on extreme events.

not significant 1 2 3 4 5 6 7 very significant

Mean estimation Number of obs = 494

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v039c | 4.811741 .0763448 4.66174 4.961742

--------------------------------------------------------------

IPCC Involvement n=124 Climate Science

No IPCC Involvement n=227

IPCC Involvement n=46 Affiliated Science

No IPCC Involvement n=89

5.668 7.085 8.097

15.9921.26

26.52

15.38

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v039[v039c]

1 2 3 4 5 6 7v039[v039c]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v039[v039c]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v039[v039c]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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91

Figure 81. (v040) How much would you agree with the following statement: "Extreme weather events are a major consequence of climate change."?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 520

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v040 | 4.521154 .0782802 4.367369 4.674939

--------------------------------------------------------------

IPCC Involvement n=131 Climate Science

No IPCC Involvement n=242

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=90

8.077 9.038 9.80815.38

25.77

17.3114.62

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v040

1 2 3 4 5 6 7v040

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v040

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v040

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 82. (v041a) How much would you agree with the following: "Extreme weather events are becoming more erratic”?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 434

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v041a | 3.758065 .0920874 3.577071 3.939058

--------------------------------------------------------------

IPCC Involvement n=105 Climate Science

No IPCC Involvement n=208

IPCC Involvement n=36 Affiliated Science

No IPCC Involvement n=78

17.9713.82 12.44 14.52

20.97

11.988.295

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v041[v041a]

1 2 3 4 5 6 7v041[v041a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v041[v041a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v041[v041a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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93

Figure 83. (v041b) How much would you agree with the following: "Extreme weather events are becoming more frequent”?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 498

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v041b | 4.819277 .0755238 4.670892 4.967662

--------------------------------------------------------------

IPCC Involvement n=123 Climate Science

No IPCC Involvement n=229

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=89

5.622 6.827 8.83512.65

26.9123.09

16.06

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v041[v012b]

1 2 3 4 5 6 7v041[v012b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v041[v012b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v041[v012b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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94

Figure 84. (v041c) How much would you agree with the following: "Extreme weather events are becoming more powerful”?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 489

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v041c | 5.00818 .0754363 4.85996 5.1564

--------------------------------------------------------------

IPCC Involvement n=124 Climate Science

No IPCC Involvement n=218

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=90

5.521 5.93 7.157 8.998

25.5629.65

17.18

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v041[v041c]

1 2 3 4 5 6 7v041[v041c]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v041[v041c]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v041[v041c]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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95

Figure 85. (v042a). How much do you think the anthropogenic influence on the climate increases the probability of the occurrence of an extreme event?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 498

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v042a | 5.090361 .0697153 4.953388 5.227334

--------------------------------------------------------------

IPCC Involvement n=124 Climate Science

No IPCC Involvement n=230

IPCC Involvement n=46 Affiliated Science

No IPCC Involvement n=90

4.016 5.02 5.622

11.45

29.1226.71

18.07

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v042[v042a]

1 2 3 4 5 6 7v042[v042a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v042[v042a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v042[v042a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 86. (v042b) How much do you think the anthropogenic influence on the climate increases the intensity of an extreme event?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 497

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v042b | 5.229376 .0672194 5.097306 5.361446

--------------------------------------------------------------

IPCC Involvement n=125 Climate Science

No IPCC Involvement n=228

IPCC Involvement n=44 Affiliated Science

No IPCC Involvement n=92

3.421 4.427 3.823

11.67

26.7630.58

19.32

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v042[v042b]

1 2 3 4 5 6 7v042[v042b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v042[v042b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v042[v042b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Figure 87. (v042c) How much do you think the anthropogenic influence on the climate increases the frequency of an extreme event?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 488

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v042c | 4.913934 .0719525 4.772559 5.05531

--------------------------------------------------------------

IPCC Involvement n=122 Climate Science

No IPCC Involvement n=223

IPCC Involvement n=46 Affiliated Science

No IPCC Involvement n=89

3.8936.967 6.967

12.7

31.35

21.7216.39

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v042[v042c]

1 2 3 4 5 6 7v042[v042c]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v042[v042c]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v042[v042c]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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Section 7. Climate and Society

Figure 88. (v043) How convinced are you that climate change poses a very serious and dangerous threat to humanity?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 547

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v043 | 5.879342 .062751 5.756079 6.002605

--------------------------------------------------------------

IPCC Involvement n=135 Climate Science

No IPCC Involvement n=255

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=97

2.194 3.108 3.2915.667

13.53

26.14

46.07

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v043

1 2 3 4 5 6 7v043

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v043

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v043

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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99

Figure 89. (v044) How much are we beginning to experience the more gradual impacts of climate change, anthropogenic or otherwise?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 540

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v044 | 5.32963 .0575301 5.216619 5.44264

--------------------------------------------------------------

IPCC Involvement n=134 Climate Science

No IPCC Involvement n=253

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=93

1.296 2.037

7.963 8.889

30.93 28.7

20.19

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v044

1 2 3 4 5 6 7v044

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v044

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v044

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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100

Figure 90. (v045) Over the issue of climate change, the general public should be told to be:

unconcerned 1 2 3 4 5 6 7 very worried

Mean estimation Number of obs = 544

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v045 | 5.555147 .0525055 5.452008 5.658286

--------------------------------------------------------------

IPCC Involvement n=130 Climate Science

No IPCC Involvement n=255

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=98

.7353 2.574 2.7577.721

30.51 31.99

23.71

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v045

1 2 3 4 5 6 7v045

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v045

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v045

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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101

Figure 91. (v046) It should be the responsibility of climate scientists to tell the general public how much they should be concerned about climate change.

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 540

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v046 | 4.774074 .0749822 4.626781 4.921367

--------------------------------------------------------------

IPCC Involvement n=133 Climate Science

No IPCC Involvement n=251

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=97

5.5568.148 10

13.33

23.15 22.2217.59

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v046

1 2 3 4 5 6 7v046

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v046

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v046

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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102

Figure 92. (v047)Considering the advances of the understanding of climate change in the last 5 years, would you say climate change has become?

1 a less urgent global issue 2 3 4 the level of urgency has not changed 5 6 7 a much more urgent global issue

Mean estimation Number of obs = 546

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v047 | 5.331502 .0581728 5.217232 5.445772

--------------------------------------------------------------

IPCC Involvement n=135 Climate Science

No IPCC Involvement n=255

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=95

1.832 1.282 2.198

23.81 23.08 23.08 24.73

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v047

1 2 3 4 5 6 7v047

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v047

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v047

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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103

Figure 93. (v048) Today, do you think the negative impacts of climate change will be

1 much less than you thought five years ago 2 3 4 the same as you thought five years ago 5 6 7 much more than you thought five years ago

Mean estimation Number of obs = 544

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v048 | 4.829044 .0526586 4.725605 4.932484

--------------------------------------------------------------

IPCC Involvement n=135 Climate Science

No IPCC Involvement n=251

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=97

2.022 1.103 2.206

40.26

27.02

15.8111.58

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v048

1 2 3 4 5 6 7v048

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v048

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v048

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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104

Figure 94. (v049) Today, do you think the negative impacts of sea level rise will be

1 much less than you thought five years ago 2 3 4 the same as you thought five years ago 5 6 7 much more than you thought five years ago

Mean estimation Number of obs = 534

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v049 | 4.874532 .0502467 4.775826 4.973238

--------------------------------------------------------------

IPCC Involvement n=132 Climate Science

No IPCC Involvement n=248

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=94

1.311 .3745 2.434

40.07

28.65

15.5411.61

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v049

1 2 3 4 5 6 7v049

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v049

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v049

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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105

Figure 95. (v050) Climate change discourse in general (scientific, public, political) is driven by

scientific findings 1 2 3 4 5 6 7 public/political sentiment

Mean estimation Number of obs = 534

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v050 | 4.970037 .0652426 4.841873 5.098202

--------------------------------------------------------------

IPCC Involvement n=132 Climate Science

No IPCC Involvement n=249

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=93

3.745 3.745 5.618

21.9124.91 23.78

16.29

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v050

1 2 3 4 5 6 7v050

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v050

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v050

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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106

Figure 96. (v051a) If we do not do anything towards adaptation or mitigation, the potential for catastrophe in the next 10 years resulting from climate change for the country in which you live is

none 1 2 3 4 5 6 7 great

Mean estimation Number of obs = 537

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v051a | 3.456238 .0739308 3.311009 3.601468

--------------------------------------------------------------

IPCC Involvement n=134 Climate Science

No IPCC Involvement n=247

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=95

13.78

22.72

15.46 17.32 18.62

7.076 5.028

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v051[v51a]

1 2 3 4 5 6 7v051[v51a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v051[v51a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v051[v51a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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107

Figure 97. (v051b) If we do not do anything towards adaptation or mitigation, the potential for catastrophe in the next 50 years resulting from climate change for the country in which you live is

none 1 2 3 4 5 6 7 great

Mean estimation Number of obs = 533

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v051b | 4.915572 .0752394 4.767769 5.063375

--------------------------------------------------------------

IPCC Involvement n=132 Climate Science

No IPCC Involvement n=245

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=95

3.5658.255

10.8815.38 16.14

23.83 21.95

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v051[v51b]

1 2 3 4 5 6 7v051[v51b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v051[v51b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v051[v51b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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108

Figure 98. (v052a) If we do not do anything towards adaptation and mitigation, the potential for catastrophe in the next 10 years resulting from climate change for other parts of the world is

none 1 2 3 4 5 6 7 great

Mean estimation Number of obs = 532

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v052a | 4.477444 .0742341 4.331615 4.623272

--------------------------------------------------------------

IPCC Involvement n=133 Climate Science

No IPCC Involvement n=245

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=93

5.63910.71 12.59

15.04

25.94

17.4812.59

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v052[v052a]

1 2 3 4 5 6 7v052[v052a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v052[v052a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v052[v052a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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109

Figure 99. (v052b) If we do not do anything towards adaptation and mitigation, the potential for catastrophe in the next 50 years resulting from climate change for other parts of the world is

none 1 2 3 4 5 6 7 great

Mean estimation Number of obs = 529

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v052b | 5.937618 .0604583 5.81885 6.056386

--------------------------------------------------------------

IPCC Involvement n=131 Climate Science

No IPCC Involvement n=244

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=93

1.512 3.025 2.6476.049

12.85

27.6

46.31

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v052[v052b]

1 2 3 4 5 6 7v052[v052b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v052[v052b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v052[v052b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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110

Section 8. Climate Science and Society

Figure 100. (v053) Science should be for the people, and governments should direct scientific resources into area that would prove to be of the greatest benefit for society.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 542

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v053 | 4.745387 .0702935 4.607306 4.883469

--------------------------------------------------------------

IPCC Involvement n=134 Climate Science

No IPCC Involvement n=252

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=96

3.8758.118 9.225

18.63

24.5419.74

15.87

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v053

1 2 3 4 5 6 7v053

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v053

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v053

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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111

Figure 101. (v054) Rather than being designed within science, research priorities should be put forward by individuals and groups who are in touch with genuine social needs.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 537

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v054 | 3.543762 .0691723 3.40788 3.679644

--------------------------------------------------------------

IPCC Involvement n=132 Climate Science

No IPCC Involvement n=252

IPCC Involvement n=52 Affiliated Science

No IPCC Involvement n=93

11.17

17.8821.42 19.74 18.62

7.0764.097

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v054

1 2 3 4 5 6 7v054

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v054

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v054

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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112

Figure 102. (v055) Citizens should participate directly in the scientific research process.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 534

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v055 | 3.687266 .0719827 3.545861 3.828671

--------------------------------------------------------------

IPCC Involvement n=131 Climate Science

No IPCC Involvement n=249

IPCC Involvement n=50 Affiliated Science

No IPCC Involvement n=96

7.491

22.6617.79 18.35 20.41

5.993 7.303

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v055

1 2 3 4 5 6 7v055

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v055

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v055

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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113

Figure 103. (v056) Citizens should shape the subjects and contents of what is considered to be scientific knowledge.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 538

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v056 | 2.70632 .0678904 2.572956 2.839683

--------------------------------------------------------------

IPCC Involvement n=133 Climate Science

No IPCC Involvement n=252

IPCC Involvement n=50 Affiliated Science

No IPCC Involvement n=95

26.95 26.77

18.413.38

8.3643.346 2.788

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v056

1 2 3 4 5 6 7v056

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v056

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v056

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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114

Figure 104. (v057) Science should be reorganized so that citizens directly determine how knowledge is produced.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 540

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v057 | 2.605556 .0737474 2.460688 2.750423

--------------------------------------------------------------

IPCC Involvement n=134 Climate Science

No IPCC Involvement n=252

IPCC Involvement n=50 Affiliated Science

No IPCC Involvement n=96

35.19

24.26

13.710.37 8.704

3.704 4.074

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v057

1 2 3 4 5 6 7v057

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v057

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v057

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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115

Figure 105. (v058) Science should deliver facts not policies.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 540

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v058 | 5.624074 .0657086 5.494998 5.75315

--------------------------------------------------------------

IPCC Involvement n=132 Climate Science

No IPCC Involvement n=250

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=97

1.1114.259

7.407 7.778

15.19

26.3

37.96

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v058

1 2 3 4 5 6 7v058

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v058

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v058

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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116

Figure 106. (v059) Scientists should not consider the moral implications of their work as this prevents facts from being distorted by ideologies.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 518

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v059 | 4.084942 .0911755 3.905822 4.264062

--------------------------------------------------------------

IPCC Involvement n=131 Climate Science

No IPCC Involvement n=239

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=89

12.9316.8 15.06

9.26613.9 14.09

17.95

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v059

1 2 3 4 5 6 7v059

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v059

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v059

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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117

Figure 107. (v060) Science should be conducted only within the closed community of scientists and only by those trained in scientific disciplines.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 540

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v060 | 3.688889 .0775787 3.536495 3.841283

--------------------------------------------------------------

IPCC Involvement n=134 Climate Science

No IPCC Involvement n=249

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=96

13.718.33

15.56 14.8118.15

14.26

5.185

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v060

1 2 3 4 5 6 7v060

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v060

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v060

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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118

Figure 108. (v061) Scientists should focus on knowledge according their own moral and political commitments.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 504

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v061 | 2.553571 .074751 2.406709 2.700434

--------------------------------------------------------------

IPCC Involvement n=127 Climate Science

No IPCC Involvement n=231

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=89

35.12

26.79

12.3 10.327.341

5.159 2.976

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v061

1 2 3 4 5 6 7v061

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v061

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v061

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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119

Figure 109. (v062) Scientists should work to link science with public moral and political concerns.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 525

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v062 | 4.047619 .0751543 3.899978 4.19526

--------------------------------------------------------------

IPCC Involvement n=130 Climate Science

No IPCC Involvement n=245

IPCC Involvement n=51 Affiliated Science

No IPCC Involvement n=91

9.90512.76 12.76

2023.43

14.1

7.048

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v062

1 2 3 4 5 6 7v062

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v062

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v062

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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120

Figure 110. (v063) The credibility of scientific claims is partly determined by the moral qualities of the author.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 507

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v063 | 3.406312 .0852469 3.23883 3.573793

--------------------------------------------------------------

IPCC Involvement n=126 Climate Science

No IPCC Involvement n=234

IPCC Involvement n=50 Affiliated Science

No IPCC Involvement n=90

22.6819.33

8.481

15.98 17.55

9.6656.312

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v063

1 2 3 4 5 6 7v063

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v063

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v063

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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121

Figure 111. (v064) The main form of scientific debate among scientists should be based on:

emotions and values 1 2 3 4 5 6 7 reason and logic

Mean estimation Number of obs = 547

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v064 | 6.617916 .0294565 6.560054 6.675778

--------------------------------------------------------------

IPCC Involvement n=136 Climate Science

No IPCC Involvement n=255

IPCC Involvement n=53 Affiliated Science

No IPCC Involvement n=95

.3656 1.6454.753

22.3

70.93

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v064

1 2 3 4 5 6 7v064

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v064

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v064

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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122

Figure 112. (v065) Science is a defined set of practices and ideas that are not generally found or used outside of science.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 514

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v065 | 3.673152 .077533 3.52083 3.825473

--------------------------------------------------------------

IPCC Involvement n=128 Climate Science

No IPCC Involvement n=238

IPCC Involvement n=50 Affiliated Science

No IPCC Involvement n=90

14.01 14.4

20.6215.18

17.912.84

5.058

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v065

1 2 3 4 5 6 7v065

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v065

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v065

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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123

Figure 113. (v066) As the values of non-scientists are taken into account, how much have scientific ideas been distorted to service political arguments concerning climate change?

not at all 1 2 3 4 5 6 7 very much

Mean estimation Number of obs = 503

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v066 | 5.284294 .0669659 5.152726 5.415862

--------------------------------------------------------------

IPCC Involvement n=128 Climate Science

No IPCC Involvement n=228

IPCC Involvement n=48 Affiliated Science

No IPCC Involvement n=91

1.9884.97 5.765

11.13

26.44 25.45 24.25

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v066

1 2 3 4 5 6 7v066

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v066

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v066

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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124

Figure 114. (v067) The seriousness of potential environmental scares needs to be investigated before doomsday stories get out of hand.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 469

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v067 | 5.620469 .0624655 5.497722 5.743217

--------------------------------------------------------------

IPCC Involvement n=118 Climate Science

No IPCC Involvement n=218

IPCC Involvement n=41 Affiliated Science

No IPCC Involvement n=85

1.0663.412 3.625

8.102

21.32

33.0529.42

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v067

1 2 3 4 5 6 7v067

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v067

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v067

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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125

Figure 115. (v068) Science should be kept separate from the concerns of ordinary people.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 523

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v068 | 2.529637 .0661961 2.399593 2.65968

--------------------------------------------------------------

IPCC Involvement n=132 Climate Science

No IPCC Involvement n=240

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=94

30.02 28.68

19.5

10.135.545 4.015 2.103

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v068

1 2 3 4 5 6 7v068

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v068

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v068

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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126

Figure 116. (v 69) The collective authority of a consensus culture of science paralyzes new thought.

strongly disagree 1 2 3 4 5 6 7 strongly agree

Mean estimation Number of obs = 492

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v069 | 3.900407 .0814883 3.740298 4.060515

--------------------------------------------------------------

IPCC Involvement n=126 Climate Science

No IPCC Involvement n=227

IPCC Involvement n=47 Affiliated Science

No IPCC Involvement n=84

11.1815.24

17.6813.41

21.95

11.798.74

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v069

1 2 3 4 5 6 7v069

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v069

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v069

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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127

In 1996, climate science was described as being a post-normal science. This meant that: 1. the scientific claims had a high level of uncertainty, 2. there was much at stake, and 3. the risks posed by climate change were very high.

Figure 117. (v070a) Since 1996 the level of uncertainty in climate science has

dropped considerably 1 2 3 4 remained the same 5 6 7 increased considerably

Mean estimation Number of obs = 535

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v070a | 2.854206 .0649889 2.72654 2.981871

--------------------------------------------------------------

IPCC Involvement n=136 Climate Science

No IPCC Involvement n=248

IPCC Involvement n=48 Affiliated Science

No IPCC Involvement n=95

16.26

31.5927.85

10.655.981 3.738 3.925

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v070[v070a]

1 2 3 4 5 6 7v070[v070a]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v070[v070a]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v070[v070a]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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128

Figure 118. (v070b) What was considered to be at stake has

dropped considerably 1 2 3 4 remained the same 5 6 7 increased considerably

Mean estimation Number of obs = 494

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v070b | 5.159919 .0560959 5.049702 5.270136

--------------------------------------------------------------

IPCC Involvement n=126 Climate Science

No IPCC Involvement n=229

IPCC Involvement n=44 Affiliated Science

No IPCC Involvement n=87

.4049 2.0244.858

24.0927.13 25.51

15.99

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v070[v070b]

1 2 3 4 5 6 7v070[v070b]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v070[v070b]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v070[v070b]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement

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129

Figure 119. (v070c) The level of risk associated with climate change has

dropped considerably 1 2 3 4 remained the same 5 6 7 increased considerably

Mean estimation Number of obs = 526

-------------------------------------------------------------- | Mean Std. Err. [95% Conf. Interval]

-------------+------------------------------------------------ v070c | 5.397338 .0538221 5.291605 5.503072

--------------------------------------------------------------

IPCC Involvement n=135 Climate Science

No IPCC Involvement n=241

IPCC Involvement n=49 Affiliated Science

No IPCC Involvement n=93

.7605 1.521 2.662

19.3923.57

32.13

19.96

010

2030

4050

6070

8090

100

Per

cent

1 2 3 4 5 6 7v070[v070c]

1 2 3 4 5 6 7v070[v070c]

All Respondents

0

.2

.4

.6

.8

1

Cum

ulat

ive

Pro

babi

lity

1 2 3 4 5 6 7v070[v070c]

c.d.f. Normal c.d.f. 1 2 3 4 5 6 7v070[v070c]

Affiliated science

Climate Science

no IPCC involvement

IPCC involvement

no IPCC involvement

IPCC involvement