bridging scales in the extremes: from global climate ...€¦ · 28/10/2015 1 bridging scales in...
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Bridging scales in the extremes: from global climate change to local
adaptation
Karianne de Bruin1,2 & Jana Sillmann1
1CICERO, 2Alterra-Wageningen UR
The Human Side of Climate ChangeFriday 16th October 2015
Extreme“Climate extreme (extreme weather or climate event): the occurrence of a value of a weather or climate variable above (or below) a threshold value near the upper (or lower) ends of the range of observed values of the variable.” (IPCC, SREX 2012)
“For simplicity, both extreme weather events and extreme climate events are refereed to collectively as ‘climate extremes’” (IPCC, SREX 2012)
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Extreme
Extreme precipitation, extreme high temperatures, extreme cold, extreme megadrought, extreme flood, extreme wet and dry spells, storm, hurricanes, ice storms, ...
Extreme
Weather Climate
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Impacts of extremes
- Extreme impacts
- Socio-economic development
- Vulnerability
- Exposure
Dealing with extremes
- Disaster risk management
- Adaptation
- Decision-making
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Scales
Dealing with different scales in assessing, understanding and responding to extreme weather and climate events
TemporalSpatial
Interface
Society Policy
Science
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Society - private sector
Extreme precipitation
Extreme drought
Extreme wind
Society - NGO
- Early warning, early action
- Forecast-based financing
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Society - individual
Extreme precipitation
Extreme water level
Extreme drought
Policy - national/regional
- Land use planning- Civil protection and
emergency planning- Project and policy
appraisal
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Policy - local
Extreme flood & Building regulations
Extreme precipitation & Urban drainage system
ScienceSocial science Humanities Natural science
Economic‐based appraisal techniques, e.g. decision
tree analysis under uncertainty
Spatial knowledge of drought‐prone farmland through participatory drought mapping
LINGCLIM – Linguistic Representations of Climate Change Discourse and Their Individual and Collective
Interpretations
Decision‐making with uncertainty Lab – uncover the psychological factors that impact decisions on precautions for severe
weather
Heatwave occurrence in near‐term regional climate
projections
Statistical analysis of climate projections
.
De Bruin (2011), Russo et al. ERL 2015, subm., Thorarinsdottir (2015), Susan Joslyn’s (http://depts.washington.edu/forecast/ ) , www.uib.no/en/project/lingclim, EVA project
Russo et al. 2015, ERL, sub.
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ClimateXL – Physical and statistical analysis of climate extremes in large datasets
Integrated Research Approach
ClimateXL
WP4: Data management, Coordination and Communication
WP1: Climate Extremes and Variability
WP2: Performance Metrics
WP3: Adaptation Decision‐makingExtrem
e Value Theo
ry (EV
T)
Uncertainty Assessment
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ClimateXL
Climate extremes on global scale
- Observations and climate models- Future projections
Sillmann et al. 2013 Russo et al. 2015, ERL, sub.
Heatwave occurrence
ClimateXL
Practitioners
Adaptation decisions
Dealing with uncertainties
- Whether to adapt?
- What to adapt?
- How much to adapt?
- When to adapt?
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ClimateXL
Robust decision making
Decision support tools
Multi‐criteria analysis
Cost‐effectiveness
analysis
Portfolio analysis
Real options analysis
Iterative risk (adaptive)
management
Cost‐benefit analysis
Rule based decision
support for uncertainty
Adaptation decision-making
Challenges
- Adaptation challenges in the decision context
- Bridging and balancing scales- Tailored climate information
- Uncertainty
- Temporal
- Spatial
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Further integration
Society Policy
Science
Climate services
- Iterative decision-making processes
- Three way process between society, policy and science
- Balancing scales
CLIMATE SERVICES