Forecasting & EWS — Research & Consulting

Research & Consulting

Forecasting & EWS

Designing and implementing scientifically grounded flood, landslide and multi-hazard forecasting systems- combining real-time monitoring networks, numerical weather and hydrological prediction models, and automated dissemination pathways to deliver actionable warnings for disaster risk reduction in mountain and river basin contexts.

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Climate Change Disaster Resilience Water Resources

Forecasting & EWS

Geo-spatial Analysis & Mapping M & E and Impact Studies Environment & Social Studies Engineering & Design Dams & Hydropower Projects Capacity Building Activities

Community-based early warning systems

Designing and operationalising community-based early warning systems that integrate technical monitoring with local knowledge, communication pathways and community response protocols to ensure last-mile warning delivery and community preparedness for flood, landslide and multi-hazard events.

Last-mile warningCommunity EWSLocal knowledgeWarning protocolEvacuation planningCommunity preparednessCBDRMParticipatory design

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Flood forecasting & EWS Systems

Developing operational flood forecasting systems using coupled hydrometeorological models, real-time gauge data and telemetry networks including threshold determination, forecast verification, uncertainty quantification and integration with national and regional forecasting platforms for timely flood warning.

Flood forecastingHydrological modelReal-time dataWarning thresholdForecast verificationLead timeDHM platform

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Critical hazards EWS

Designing early warning systems for GLOF, avalanche, landslide and thunderstorm hazards in high mountain environments by combining sensor networks, geophysical monitoring, satellite-based triggers and automated alert dissemination to protect infrastructure and communities in remote terrain.

GLOF warningLandslide EWSHeatwaves & ColdwavesSensor networkRemote monitoringAutomated alertMountain hazard

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Satellite data analysis and forecasting systems

Integrating satellite-derived precipitation (GPM, TRMM, IMERG), soil moisture, snow cover and land surface data into hydrological forecasting workflows for supporting real-time monitoring in data-sparse mountain catchments and improving forecast skill through satellite-constrained model initialisation

GPMIMERGSatellite precipitationRemote sensingSnow coverSoil moistureNowcasting

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