Overview of SimCLIM Software and CLIMsystems

1. Bridging the gap between climate change
science and action:
CLIMsystems and the SimCLIM system

2. Importance and Demand
• Importance of Climate Change Scenarios for End
Users: V&A assessment, planning, mitigation,
DRR
• Who practically use the scenarios:
Policy makers (Planners), consultants, engineers,
researchers . . .
• What sort of information do they demand:
extremes, averages, sea level, temperature,
precipitation, wind, vapour pressure, sea surface
temperature, TC.

3. Examples of adaptation
activities that require
climate risk information
• New infrastructure
Cost–benefit analysis, infrastructure performance and design
• Resource management
Assessment of natural resource availability, status and allocation
• Retrofit
Scoping assessments to identify risks and reduce exposure to extreme events
• Behavioural
Measures that optimize scheduling or performance of existing infrastructure
• Institutional
Regulation, monitoring and reporting
• Sectoral
Economic planning, sector restructuring, guidance and standards, DRR
• Communication
Communicating risks to stakeholders, high-level advocacy and planning, DRR
• Financial
Services to transfer risk, incentives and insurance

4. Part of the next generation

5. Model assessment
and inter-comparison
• This implies caution when interpreting the output from a
single model or a single type of model (e.g. regional climate
models) and the advantage of including as many different
types of downscaling models, global models and emission
scenarios as possible when developing climate-change
projections at the local scale (Haylock et al 2006)
• CORDEX: Coordinated Regional Climate Downscaling
Experiment (CORDEX)
• STARDEX: Statistical and Regional dynamical Downscaling of
Extremes for European regions
• HadEX: Hadley Centre global land-based gridded climate
extremes data set

6. Regional/country/local/
Climate Change Baseline and Scenarios
East Timor
Malampa Vanuatu
Bhutan
Marshall Islands
Eritrea
Ho Chi Minh City Korean Peninsula
Using all available IPCC AR4 Data (all more than 20 GCMs, daily monthly output,
Temp, Prec, relative humidity, wind, SST, solar radiation)

7. Co-evolutionary Decision Support System
for climate change V&A assessment
•Speeds up problem solving: With the pre-
loaded data and impact models, and the fast
analysis functionality and user friendly
interface
•Facilitates interpersonal communication: All
groups work with same data, platform and
models
•Promotes learning or training
•Generates new evidence in support of a
decision
•Encourages exploration and discovery on the
part of the decision maker
Developed with support from •Reveals new approaches to the formulation
APN FAWSIM project (2008-2010) of problems.
Bridges scientific community
and policy makers

8. Training
SNC Training Vanuatu
IMHEN Training Viet Nam
V & A Training Epi Island
SimCLIM Training New Zealand

9. Summary
• Regional/local climate change uncertainty is
considerable, inter model variability is the largest
component.
• Multiple model, downscaling method and
RCP(SRES) ensemble approach is needed for risk
assessment.
• Rapid scenario production has advantages in
impact and adaptation assessment
• Direct communication between researchers and
end users is crucial for the whole assessment
process
• Hands-on tools are a plausible bridge to end users
Thank you