Global Drought and Flood

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Recent advances in the modeling and remote sensing of droughts and floods Droughts and floods are causing increasing damage worldwide, often with devastating short- and long-term impacts on human society. Forecasting when they will occur, monitoring them as they develop, and learning from the past to improve disaster management is vital.
Global Drought and Flood: Observation, Modeling, and Prediction Volume highlights include:
Remote sensing approaches for mapping droughts and floods Physical and statistical models for monitoring and forecasting hydrologic hazards Features of various drought and flood systems and products Use by governments, humanitarian, and development stakeholders in recent disaster cases Improving the collaboration between hazard information provision and end users The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

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Lace PadillaDepartment of Psychology Northwestern University Evanston, Illinois, USA

Erin Coughlan de PerezInternational Research Institute for Climate and Society The Earth Institute, Columbia University Palisades, New York, USA; and Red Cross Red Crescent Climate Centre The Hague, The Netherlands; and Vrije Universiteit Amsterdam Amsterdam, The Netherlands

Christel PrudhommeEuropean Centre for Medium‐range Weather Forecasts Reading, United Kingdom; and Centre for Ecology and Hydrology Wallingford, United Kingdom; and Department of Geography and Environment Loughborough University Loughborough, United Kingdom

Arash Modarresi RadDepartment of Computing Boise State University Boise, Idaho, USA

Lauro RossiCIMA Research Foundation Savona, Italy

Roberto RudariCIMA Research Foundation Savona, Italy

Mojtaba SadeghDepartment of Civil Engineering Boise State University Boise, Idaho, USA

Peter SalamonDisaster Risk Management Unit European Commission Joint Research Centre Ispra, Italy

Chris SampsonFathom Global Bristol, United Kingdom

Mitchell SchullNOAA NESDIS Center for Satellite Applications and Research College Park, Maryland, USA; and UMD‐CISESS Cooperative Institute for Satellite Earth System Studies College Park, Maryland, USA

Guy J.‐P. SchumannSchool of Geographical Sciences University of Bristol Bristol, United Kingdom; and Institute of Arctic and Alpine Research University of Colorado Boulder, Colorado, USA

Kara SiahaanInternational Federation of Red Cross and Red Crescent Societies Geneva, Switzerland

Andy SmithFathom Global Bristol, United Kingdom

Jonathan A. SullivanSchool for Environment and Sustainability University of Michigan Ann Arbor, Michigan, USA

Donglian SunDepartment of Geography and Geo‐Information Science George Mason University Fairfax, Virginia, USA

Qiuhong TangInstitute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing, China

Jing TaoEarth System Science Interdisciplinary Center University of Maryland College Park, Maryland, USA; and Lawrence Berkeley National Laboratory Berkeley, California, USA; and Department of Civil and Environmental Engineering University of Washington Seattle, Washington, USA

Beth TellmanCloud to Street New York, New York, USA; and The Earth Institute, Columbia University Palisades, New York, USA

Mark A. TriggSchool of Civil Engineering University of Leeds Leeds, United Kingdom

Philip J. WardInstitute for Environmental Studies Vrije Universiteit Amsterdam Amsterdam, The Netherlands

Albrecht WeertsDeltares Delft, The Netherlands; and Wageningen University and Research Centre Wageningen, The Netherlands

Huan WuSchool of Atmospheric Sciences Sun Yat‐sen University Guangdong, China; and Southern Marine Science and Engineering Laboratory Guangdong, China; and Earth System Science Interdisciplinary Center University of Maryland College Park, Maryland, USA

Dai YamazakiInstitute of Industrial Science The University of Tokyo Tokyo, Japan

Hongxiang YanPacific Northwest National Laboratory U. S. Department of Energy Richland, Washington, USA

Siquan YangDivision of Science and Informatization Ministry of Emergency Management of the People’s Republic of China Beijing, China

Aizhong YeState Key Laboratory of Earth Surface and Ecological Resources Faculty of Geographical Science Beijing Normal University Beijing, China

Jifu YinNOAA NESDIS Center for Satellite Applications and Research College Park, Maryland, USA; and UMD‐CISESS Cooperative Institute for Satellite Earth System Studies College Park, Maryland, USA

Mahkameh ZarekariziCenter for Complex Hydrosystems Research Department of Civil, Construction, and Environmental Engineering The University of Alabama Tuscaloosa, Alabama, USA

Xiwu ZhanNOAA NESDIS Center for Satellite Applications and Research College Park, Maryland, USA

Shuai ZhangDepartment of Geological Sciences University of North Carolina at Chapel Hill Chapel Hill, North Carolina, USA

Fang ZhaoKey Laboratory of Geographic Information Science (Ministry of Education)School of Geographic Sciences East China Normal University Shanghai, China; and Potsdam Institute for Climate Impact Research Potsdam, Germany

Gang ZhaoZachry Department of Civil and Environmental Engineering Texas A&M University College Station, Texas, USA

Ervin ZsoterEuropean Centre for Medium‐range Weather Forecasts Reading, United Kingdom

PREFACE

The increase in the frequency of drought and flood events due to changes in the global water and energy cycle poses higher risks to human settlements, especially those in floodplains and areas with frequent heat waves and deficit in precipitation, in an era of rapid population growth. Monitoring and forecasting of the occurrence, intensity, and evolution of drought and flood events are considered to be more and more important by humanitarian and government agencies for issuing timely warnings, monitoring ongoing hazards, and developing short‐term and long‐term risk assessments and management plans. In the past two decades, there have been significant advances in both numerical modeling and remote sensing approaches. These complementary approaches have been critical components in producing integrated information for droughts and floods.

This monograph reviews recent advances in the modeling and remote sensing of droughts and floods, covering many relevant topics including: (a) the currently available, widely used techniques and products for obtaining timely and accurate global‐scale or continental‐scale drought and flood information; (b) the features, strengths and weaknesses, and advances and challenges in each of these global products; (c) how these products have been used by humanitarian, government, and development sectors in recent natural disaster cases; and (d) discussions about the gaps between the products and end users, and insights for further improving the workflow in response activities from perspectives of both hazard information providers and users.

This book is organized into three closely connected sections. Part I focuses on remote sensing approaches for global drought and flood mapping. It starts with an overview of progress, challenges, and opportunities in remote sensing of drought. As critical components for drought monitoring, two well recognized remote‐sensing‐based products for evapotranspiration measurement and reservoir parameters (elevation, storage, and area) are then introduced and discussed in the following two chapters. Two widely used remote‐sensing‐based flood mapping products are described in the next two chapters, respectively, followed by a thoughtful chapter proposing an integration of Earth Observation (EO) data and numerical models, with the latter as the focus of the next section.

Part II summarizes current widely used modeling approaches and systems, including model physics, features, validation, strength, limitations, and challenges in their further improvement and applications. In this section, the first three chapters are focused on modeling of drought using statistical, process‐based or hybrid approaches. For flood modeling, an overview of the state‐of‐the‐art flood models is presented in a dedicated chapter. An open challenge for almost all global flood models, i.e., large‐scale calibration of models, is discussed in the following chapter. The rest of the section then focuses on two common data sets, i.e., derivations based on digital elevations model (DEM), and land use and land cover (LULC), which are fundamental for both drought and flood simulations.

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