{"title":"Global Flood Monitoring Using Satellite Precipitation and Hydrological Modeling","authors":"Huan Wu, Hua Wu, G. Gu, Yan Yan, Z. Gao, R. Adler","doi":"10.1002/9781119217886.CH6","DOIUrl":"https://doi.org/10.1002/9781119217886.CH6","url":null,"abstract":"","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130489319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rainfall Information for Global Flood Modeling","authors":"D. Wright","doi":"10.1002/9781119217886.CH2","DOIUrl":"https://doi.org/10.1002/9781119217886.CH2","url":null,"abstract":"","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122447382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Hirpa, F. Pappenberger, L. Arnal, Calum A. Baugh, H. Cloke, E. Dutra, R. Emerton, B. Revilla-Romero, P. Salamon, Paul Smith, E. Stephens, F. Wetterhall, E. Zsoter, J. T. Pozo
{"title":"Global Flood Forecasting for Averting Disasters Worldwide","authors":"F. Hirpa, F. Pappenberger, L. Arnal, Calum A. Baugh, H. Cloke, E. Dutra, R. Emerton, B. Revilla-Romero, P. Salamon, Paul Smith, E. Stephens, F. Wetterhall, E. Zsoter, J. T. Pozo","doi":"10.1002/9781119217886.CH12","DOIUrl":"https://doi.org/10.1002/9781119217886.CH12","url":null,"abstract":"Globally, floods are responsible for more than half of the total people affected by all weather‐related disasters combined, causing a large number of deaths and significant economic losses. Global‐scale flood forecasting systems play a key role in disaster risk reduction: they provide early flood information for several nations who are without local flood early warning systems and function as added value information for national services with their own early warning systems. Global flood forecasting is increasingly becoming attractive due to complete worldwide coverage and improving forecast skills. In this chapter, we present the recent advances in large‐scale flood forecasting with a focus on already existing global and continental flood forecasting systems in operation. We also review different scientific methodologies in practice for evaluating and improving the forecast skill such as evaluation methods, precipitation bias corrections, multimodel approaches, and data assimilation. Additionally, we discuss how flood forecast information is used for supporting everyday operations of a humanitarian initiative. We also highlight the remaining challenges of improving the forecast provisions to meet end‐users' expectations.","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122760154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flood Risk Mapping From Orbital Remote Sensing","authors":"G. Brakenridge","doi":"10.1002/9781119217886.CH3","DOIUrl":"https://doi.org/10.1002/9781119217886.CH3","url":null,"abstract":"Standardized methods for flood risk evaluation in the United States were developed by the United States Geological Survey over more than a century [Klingeman, 2005; Wahl et al., 1995]. They use an extensive network of river gauging stations and associated time series of annual flood peak discharge; many of these extend for 50–100 years. To meet regulatory and insurance requirements, flood risk assessments must be not only objective and scientifically defensible, but also uniformly applicable across highly variable hydrological regimes. The results are commonly subject to legal challenges as property owners contest the level of risk assigned; consistency of method is thus critical. Through these standard methods, risk is modeled: a flood discharge of particular calculated recurrence interval is routed through the channel and across the landscape via regulatory agency‐approved hydrodynamic models such as HEC‐RAS [FEMA, 2002]. Many developed nations outside the United States have similar risk evaluation methodologies. Quite commonly, a “100‐year” discharge and associated floodplain are defined: this floodplain is the land area along a river where, at its margins, a 1% annual exceedance probability is calculated for inundation by floodwater (interior por tions may experience much higher inundation frequencies). Thus, the probability Pe that one or more floods occurring Dartmouth Flood Observatory CSDMS/INSTAAR, University of Colorado, Boulder, Colorado, USA ABSTRACT","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124993436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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