Transforming Data into Actionable Information

Delivering user-relevant decision support services

RIMES facilitates a co-production approach in design and development of decision support systems to transform data into actionable information for managing resources, mitigating risks and supporting risk-informed decision making. Integrated weather, climate, ocean, and hydrological services contribute to timely and effective decision-making that supports resilient development, resulting in greater socioeconomic benefits.

RIMES supports the co-production approach in collaboration with the NMHSs, intermediary stakeholder institutions in agriculture, water resources, disaster management among others, and other technical agencies to generate customized hazard information for the end-users: from the national, regional or community-level decision-makers to communities at risk.

With the fast-evolving landscape of data-driven DSS tools and service delivery, we continue to

integrate forecast products of high resolution and varying scales with localized decision context based on the country’s existing and emerging demands
integrate datasets from multiple sources and sectors into dynamic and user-friendly dashboards and advisory generation systems
deploy advanced technology for data management, access, and analytics including Internet of Things (IoT) and Artificial Intelligence (AI)
customize, replicate, improve and scale up DSS to support regional priorities

Focus Areas

National Climate Application Centers

RIMES supports capacity building and system development for national-level institutional mechanisms to synergize national priorities in the early warning information value chain and co-production of services. This collaborative venture involving NMHSs and intermediary stakeholders is established to assess sector and institution-specific information or service needs. Sri Lanka National Climate Application Center (SNCCA), Bangladesh Climate Information […]

Monsoon Forums

In Asia, climate variations affect food security and well being of communities and make planning for the monsoon season a vital process. Monsoon Forums help climate scientists better understand decision-makers’ information requirements, and assists potential users of climate forecasts better understand and use information for early warning of potential climate related risks and in enhancing […]

Tailor-made Services

Weather information that is accurate and timely plays a pivotal role in informing climate-sensitive decisions in sectors like agriculture, public health, transportation, finance and water resources management among others. RIMES supports sectoral application of climate information by devising integrated platforms that connect weather data: both historical and observed, with forecast and advisory generation tools based […]

Decision Support Systems

RIMES has co-developed and operationalized several Decision Support Systems (DSS) for transforming hazard information into impact-based forecasting to aid decision-making across multiple sectors – disaster management, agriculture, transportation, energy, finance, health, and water resources being the major ones. Decision-makers in these sectors, especially in the developing regions, are limited by technical infrastructure and human resources […]

RIMES Sub-Regional hubs

RIMES program unit continues to support an integrated national early warning system in Papua New Guinea(PNG), to serve as the sub-regional hub for the Pacific. RIMES sub-regional hubs are designed to provide decentralized and customized support to the Member States of the respective region. The establishment of the PNG sub-regional hub is a cornerstone in […]

Regional and National Climate Outlook Forums

South Asian Seasonal Climate Outlook Forum South Asian nations, supported by the WMO, came together to establish the South Asian Seasonal Climate Outlook Forum (SASCOF) in 2010. Since then, the SASCOF sessions are being organised every year before the summer monsoon season. SASCOF gathers NMHSs of the South Asian region to prepare consensus seasonal climate […]