Seasonal Flood Forecasts and Warning Response Opportunities

Seasonal Flood Forecasts and Warning Response Opportunities
Author :
Publisher : Springer Nature
Total Pages : 225
Release :
ISBN-10 : 9783031178252
ISBN-13 : 3031178254
Rating : 4/5 (254 Downloads)

Book Synopsis Seasonal Flood Forecasts and Warning Response Opportunities by : Md. Rashed Chowdhury

Download or read book Seasonal Flood Forecasts and Warning Response Opportunities written by Md. Rashed Chowdhury and published by Springer Nature. This book was released on 2022-11-16 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 This is due to short lead-time products, outdated dissemination networks, and lack of direct feedback from the end-user.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.


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