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Seasonal flood forecasts and warning response opportunitiesENSO applications in Bangladesh /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Seasonal flood forecasts and warning response opportunitiesby Md. Rashed Chowdhury.
其他題名:	ENSO applications in Bangladesh /
作者:	Chowdhury, Md. Rashed.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xxx, 201 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Flood forecastingBangladesh.
電子資源:	https://doi.org/10.1007/978-3-031-17825-2
ISBN:	9783031178252$q(electronic bk.)

Seasonal flood forecasts and warning response opportunitiesENSO applications in Bangladesh /
Chowdhury, Md. Rashed.

Seasonal flood forecasts and warning response opportunitiesENSO applications in Bangladesh /[electronic resource] :by Md. Rashed Chowdhury. - Cham :Springer International Publishing :2022. - xxx, 201 p. :ill., digital ;24 cm. - Disaster risk reduction, methods, approaches and practices,2196-4114. - Disaster risk reduction, methods, approaches and practices..

TABLE OF CONTENTS Preface: Why ENSO-based seasonal forecasts are important in Bangladesh Acknowledgements -- About the author -- Chapter 1: Introduction-Seasonal Flood Potential in Bangladesh -- Chapter 2: Basin-wide Hydro-Meteorological Variability and Opportunity for Seasonal -- Forecasts in Bangladesh -- Chapter 3: History of Flood Forecasts and Early Warning in Bangladesh -- Chapter 4: Overview of Weather, ENSO, and Climate Scale -- Chapter 5: The El Niño-Southern Oscillation (ENSO) and Seasonal Flooding in Bangladesh -- Chapter 6: Seasonal Flood Potential in Bangladesh -- Chapter 7: Overview of Eastern, Mixed, and Central Pacific El Niño -- Chapter 8: Seasonal Sea Level Information and Flood Forecast Potential in Bangladesh -- Chapter 9: Consensus Seasonal Flood Forecasts and Warning Response in Bangladesh -- Chapter 10: ENSO Impacts, Applications, and Conclusions.

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 This is due to short lead-time products, outdated dissemination networks, and lack of direct feedback from the end-user.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.

ISBN: 9783031178252$q(electronic bk.)

Standard No.: 10.1007/978-3-031-17825-2doiSubjects--Topical Terms:

939039
Flood forecasting
--Bangladesh.

LC Class. No.: GB1399.5.B4

Dewey Class. No.: 551.4890112

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505 0 $a TABLE OF CONTENTS Preface: Why ENSO-based seasonal forecasts are important in Bangladesh Acknowledgements -- About the author -- Chapter 1: Introduction-Seasonal Flood Potential in Bangladesh -- Chapter 2: Basin-wide Hydro-Meteorological Variability and Opportunity for Seasonal -- Forecasts in Bangladesh -- Chapter 3: History of Flood Forecasts and Early Warning in Bangladesh -- Chapter 4: Overview of Weather, ENSO, and Climate Scale -- Chapter 5: The El Niño-Southern Oscillation (ENSO) and Seasonal Flooding in Bangladesh -- Chapter 6: Seasonal Flood Potential in Bangladesh -- Chapter 7: Overview of Eastern, Mixed, and Central Pacific El Niño -- Chapter 8: Seasonal Sea Level Information and Flood Forecast Potential in Bangladesh -- Chapter 9: Consensus Seasonal Flood Forecasts and Warning Response in Bangladesh -- Chapter 10: ENSO Impacts, Applications, and Conclusions.
520 $a 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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