International Conference on Regional Climate ICRC on April 08-09, 2026 in Rome, Italy

Methodologies for regional downscaling, evaluation, analysis, integration and interpretation
Metrics of evaluation
Integrating multi-model, multi-method data
Statistical downscaling methods
Nested Regional Climate Models and variable resolution Global Climate Models
Regional observations
Assessing uncertainty
Extreme event analysis

Evaluation of regional downscaling: Present climate and future change
Process level evaluation and understanding processes underlying regional change
Scale comparison between GCM and downscaling, assessment of added-value
Resolution and domain dependencies
Representing regional trends and variability
Comparing different downscaling methods
Bias correction methodologies
Regional responses to external teleconnections
Downscaling performance metrics
Ensemble estimates of regional change and quantification of uncertainties
Developing robust estimates of regional climate change

User Needs: The driver of regional downscaling
Examples of regional climate science – regional user/stakeholder partnerships to support specific regional actions
Best practice use of ensemble information for addressing user needs
Managing contradiction and coherence across information sources
Developing tailored data products
Dissemination and access to results including user interface and data mining approaches

Regional climate change impacts, societal vulnerabilities and adaptation/mitigation options
Added-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 models
Future projections of sectorial impacts based on data, and associated evaluation
Examples of use of output for Impact-Adaptation-Vulnerability applications, and associated evaluation
Combinatory, multi-source, multi-sector impacts

Future priority areas for regional downscaling
Supporting and responding to the Global Framework Climate Services
Regional climate predictability
Regional climate information on monthly-seasonal-decadal timescales
New approaches to the use of multi-model, multi-method downscaling
Informing decision making under uncertainty