- 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 EndUsers: 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
surfacetemperature, TC. 3. Examples of adaptationactivities that
requireclimate risk information New infrastructure Costbenefit
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 asingle model or a single type of model (e.g. regional
climatemodels) and the advantage of including as many
differenttypes of downscaling models, global models and
emissionscenarios as possible when developing
climate-changeprojections at the local scale (Haylock et al 2006)
CORDEX: Coordinated Regional Climate DownscalingExperiment (CORDEX)
STARDEX: Statistical and Regional dynamical Downscaling ofExtremes
for European regions HadEX: Hadley Centre global land-based gridded
climateextremes data set 6. Regional/country/local/Climate Change
Baseline and Scenarios East TimorMalampa VanuatuBhutan Marshall
IslandsEritreaHo Chi Minh CityKorean PeninsulaUsing 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 Systemfor 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
formulationAPN FAWSIM project (2008-2010) of problems.Bridges
scientific community and policy makers 8. TrainingSNC Training
VanuatuIMHEN Training Viet NamV & A Training Epi Island SimCLIM
Training New Zealand 9. Summary Regional/local climate change
uncertainty isconsiderable, inter model variability is the
largestcomponent. Multiple model, downscaling method andRCP(SRES)
ensemble approach is needed for riskassessment. Rapid scenario
production has advantages inimpact and adaptation assessment Direct
communication between researchers andend users is crucial for the
whole assessmentprocess Hands-on tools are a plausible bridge to
end users Thank you
