Regional Resilience Data and Analytics Service (RDAS) is developed by RIMES as a cloud-based, open-access platform for making available climate and sectoral data, and analytics capacities, for climate-informing policy, planning and investment decisions in the region, targeting to provide benefits for development institutions and their stakeholders, governments of inclusive countries, research institutions, and other relevant entities. 

RDAS is implemented by RIMES through the Climate Adaptation and Resilience (CARE) for South Asia Project in three countries of South Asia (Bangladesh, Nepal, and Pakistan) with funding from the World Bank Group.

The platform uses machine learning to train models based on historical climate analysis and deploys the trained models to infer and predict on new or unknown datasets for future decision contexts. Users have seamless access to these trained regional models and datasets through API services without the need for rigorous training on the user’s end. 

RDAS Features 

Comprehensive Data Catalog: Curated list of data sources and data sites providing an extensive data portal from policy-makers to decision-makers at local levels.
Historical Climate Analytics: Repository of historical observed data trends and patterns, visualized on an interactive dashboard factoring climate change projections
Climate change projections and indices: Translating climate projections into indices for sectoral application and interpretation as defined by WMO. 
Decision Context: Linking climate-resilient decision-making to the indicators derived from sectoral data like agriculture, aggregated by indicators from domain experts


AI-backed data features in RDAS to enhance climate-informed decision making