Seasonal Flood Forecasts and Warning Response Opportunities

ebook ENSO Applications in Bangladesh · Disaster Risk Reduction

By Md. Rashed Chowdhury

cover image of Seasonal Flood Forecasts and Warning Response Opportunities

Sign up to save your library

With an OverDrive account, you can save your favorite libraries for at-a-glance information about availability. Find out more about OverDrive accounts.

   Not today

Find this title in Libby, the library reading app by OverDrive.

Download Libby on the App Store Download Libby on Google Play

Search for a digital library with this title

Title found at these libraries:

Library Name Distance
Loading...
This book explores the feasibility of using El Niño-Southern Oscillation (ENSO)-based forecasts and early warning systems to prevent losses from floods and droughts in Bangladesh. Despite advances in short-range flood forecasting and information dissemination systems in Bangladesh, the present system is less than satisfactory. This is due to short lead-time products, outdated dissemination networks, and lack of direct feedback from the end-user. One viable solution is to produce long-lead seasonal forecasts—the demand for which is significantly increasing in Bangladesh— and disseminate these products through appropriate channels. As observed in other regions, the success of seasonal forecasts, in contrast to short-term forecasts, depends on consensus among the participating institutions. Therefore, the primary objective of the book is to revisit and modify the framework of an ideal warning response system for issuance of consensus seasonal flood forecasts in Bangladesh. The book discusses issues related to the 5-stage Flood Forecasts, Warning, and Response System (FFWRS) and emphasizes the role of the seasonal 'Climate Outlook Forum (COF)' in Bangladesh. The book also identifies ways to improve forecasting and early warning systems by utilizing ENSO-based climate data and models, and discusses a comprehensive and participatory approach to seasonal flood hazard management in Bangladesh.

Several successful case examples of ENSO-based seasonal forecasts and early warning systems from other ENSO-sensitive regions have been documented. The primary audience includes academics and students, government policymakers, engineers, and business leaders.

Seasonal Flood Forecasts and Warning Response Opportunities