Drought Early Warning and Forecasting —— Theory and Practice

----- 干旱预报预警理论与实践

ISBN: 9780128140116 出版年：2020 页码：242 Funk, Chris Shukla, Shraddhanand Elsevier Science_RM

Drought risk management involves three pillars: drought early warning, drought vulnerability and risk assessment, and drought preparedness, mitigation, and response. This book collects in one place a description of all the key components of the first pillar, and describes strategies for fitting these pieces together. The best modern drought early warning systems incorporate and integrate a broad array of environmental information sources: weather station observations, satellite imagery, land surface and crop model simulations, and weather and climate model forecasts, and analyze this information in context-relevant ways that take into account exposure and vulnerability. Drought Early Warning and Forecasting: Theory and Practice assembles a comprehensive overview of these components, providing examples drawn from the Famine Early Warning Systems Network and the United States Drought Monitor. This book simultaneously addresses the physical, social, and information management aspects of drought early warning, and informs readers about the tools, techniques, and conceptual models required to effectively identify, predict, and communicate potential drought-related disasters. This book is a key text for postgraduate scientists and graduate and advanced undergraduate students in hydrology, geography, earth sciences, meteorology, climatology, and environmental sciences programs. Professionals dealing with disaster management and drought forecasting will also find this book beneficial to their work. Describes and discusses the strategies and components used in effective and integrated 21st century drought early warning systemsProvides a one-stop-shop that describes in one book the observations, models, forecasts, indices, social context, and theory used in drought early warningIdentifies the latest tools and approaches used to monitor and forecast drought, sources of predictive skill, and discusses the technical and theoretical details required to use these tools and approaches in a real-world setting