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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
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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ISSN 2191-7833
Helmholtz-Zentrum GeesthachtZentrum für Material- und Küstenforschung GmbHMax-Planck-Straße 121502 Geesthacht
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.
6
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.
7
Results of the 2015/2016 Survey of Climate Scientists
8
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%
9
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
10
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
11
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
12
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
13
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
14
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
15
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
16
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
17
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
18
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
19
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
20
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
21
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
22
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
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
24
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
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
46
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
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
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
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
50
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
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
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
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
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
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
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
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
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
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
60
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
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
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
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
64
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
65
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
66
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
67
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
68
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
69
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
70
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
71
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
72
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
73
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
74
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
75
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
76
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
77
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
78
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
79
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
80
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
81
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
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
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
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
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
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
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
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
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
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
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
92
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
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
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
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
96
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
97
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
98
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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