International Conference on Regional Climate (ICRC)

Methodologies for regional downscaling, evaluation, analysis, integration and interpretationMetrics of evaluationIntegrating multi-model, multi-method dataStatistical downscaling methodsNested Regional Climate Models and variable resolution Global Climate ModelsRegional observationsAssessing uncertaintyExtreme event analysis Evaluation of regional downscaling: Present climate and future changeProcess level evaluation and understanding processes underlying regional changeScale comparison between GCM and downscaling, assessment of added-valueResolution and domain dependenciesRepresenting regional trends and variabilityComparing different downscaling methodsBias correction methodologiesRegional responses to external teleconnectionsDownscaling performance metricsEnsemble estimates of regional change and quantification of uncertaintiesDeveloping robust estimates of regional climate change User Needs: The driver of regional downscalingExamples of regional climate science – regional user/stakeholder partnerships to support specific regional actionsBest practice use of ensemble information for addressing user needsManaging contradiction and coherence across information sourcesDeveloping tailored data productsDissemination and access to results including user interface and data mining approaches Regional climate change impacts, societal vulnerabilities and adaptation/mitigation optionsAdded-value of downscaling in the provision of climate change information to support of socio-economic policy and decision-making.Examples of the use of data in sector-specific impact assessment modelsFuture projections of sectorial impacts based on data, and associated evaluationExamples of use of output for Impact-Adaptation-Vulnerability applications, and associated evaluationCombinatory, multi-source, multi-sector impactsFuture priority areas for regional downscaling Supporting and responding to the Global Framework Climate ServicesRegional climate predictabilityRegional climate information on monthly-seasonal-decadal timescalesNew approaches to the use of multi-model, multi-method downscalingInforming decision making under uncertainty