| 书目名称 | Seasonal Flood Forecasts and Warning Response Opportunities | | 副标题 | ENSO Applications in | | 编辑 | Md. Rashed Chowdhury | | 视频video | | | 概述 | Explores the feasibility of using ENSO-based forecasts and early warning systems.Highlights issues related to the 5-stage Flood Forecasts, Warning, and Response System (FFWRS).Offers a comprehensive a | | 丛书名称 | Disaster Risk Reduction | | 图书封面 |  | | 描述 | 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 This is due to short lead-time products, outdated dissemination networks, and lack of direct feedback from the end-user.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 wa | | 出版日期 | Book 2022 | | 关键词 | Bangladesh; Climate variability and change; early warning systems; flood forecasting; natural disasters | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-17825-2 | | isbn_ebook | 978-3-031-17825-2Series ISSN 2196-4106 Series E-ISSN 2196-4114 | | issn_series | 2196-4106 | | copyright | Springer Nature Switzerland AG 2022 |
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发表于 2025-3-21 17:38:47
