Back to success stories
14 Aug 2020 | SERVIR-HKH

Better prepared for floods

2 mins Read

70% Complete

Web-based flood forecasting tool scaled up in Bangladesh

Better prepared for floods

Developed through a collaborative effort by the SERVIR-HKH Initiative, the Streamflow Prediction Tool for Bangladesh was used by the country’s Flood Forecasting and Warning Centre (FFWC) for inputs into its own in-house hydraulic model and flood mapping applications during the 2018 and 2019 floods, resulting in reliable baseline inputs and accurate forecasts. FFWC has also been using observational data from select locations to validate the generated forecasts.

This is an important tool given that Bangladesh experiences recurring floods during monsoon which heavily impact lives and livelihoods along the floodplains of the Ganges, Brahmaputra, and Meghna rivers. As these river systems originate outside Bangladesh’s national border and further upstream, FFWC does not have access to reliable river flow data that could help mobilize and prepare for the sudden onset floods. The web-based tool provides 10 to 15-day probabilistic forecasts for 21 locations along the Bangladesh border. This will aid the accuracy of FFWC’s flood forecasting models.

To build the FFWC staff’s capacity, we organized multiple training events on the development and use of the tool, data processing requirements, and validation of generated forecasts. We also helped FFWC organize a pre-monsoon stakeholder consultation workshop in 2019 (expected to be held annually) to improve flood forecasting. Further, an android-based mobile application – BWDB Flood Apps – has been developed to make flood warning information more accessible to the public.

The Streamflow Prediction Tool – developed in collaboration with Brigham Young University, the National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory, and FFWC – has also been customized for use in Nepal and Bhutan. We are now working with national partners on joint validation for the tool’s adoption and use.

We convened a regional knowledge forum on early warning for floods and high-impact weather events in Kathmandu, Nepal, in October 2019 which deliberated on key challenges facing regional and national hydrological and meteorological agencies in the use of information services for water and weather-induced disasters in South and Southeast Asia.
The event highlighted ICIMOD’s collaboration with the SERVIR Applied Science Team to enhance current flood forecasts by integrating global satellite and modeled data with regional and local forecasts. This collaboration has led to the development of a Streamflow Prediction Tool, which generates ongoing medium-range flood forecasts and accompanying retrospective hindcasts for every river stretch and the High Impact Weather Assessment Toolkit (HIWAT), a weather forecasting tool that provides additional lead time for forecasting authorities to reduce the impact of high-impact weather events.

chapter 5

Engaging policy makers

Solid waste management for sustainability

Making our cities more climate resilient In rapidly urbanizing cities of ...

9 Jul 2021 SERVIR-HKH
Monitoring cryosphere resources in Afghanistan

A separate glacier and snow research section has now been established within the National Water Resource Regulation Authority

Unlocking the potential of cloud computing and Earth observation

GEE introduces Bhutan’s government agencies to the possibilities of enhanced data analysis and visualization

9 Jul 2021 SERVIR-HKH
Data for food security planning in Nepal

Machine learning-based agricultural assessment helps reduce knowledge gaps for better-informed policy decisions in Nepal