{"title":"Global Flood Hazard Mapping, Modeling, and Forecasting","authors":"G. Schumann, P. Bates, H. Apel, G. Aronica","doi":"10.1002/9781119217886.CH14","DOIUrl":"https://doi.org/10.1002/9781119217886.CH14","url":null,"abstract":"","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"24 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":"128412933","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}
B. Merz, H. Apel, D. Nguyễn, D. Falter, B. Guse, Y. Hundecha, H. Kreibich, K. Schröter, S. Vorogushyn
{"title":"From Precipitation to Damage","authors":"B. Merz, H. Apel, D. Nguyễn, D. Falter, B. Guse, Y. Hundecha, H. Kreibich, K. Schröter, S. Vorogushyn","doi":"10.1002/9781119217886.CH10","DOIUrl":"https://doi.org/10.1002/9781119217886.CH10","url":null,"abstract":"From Precipitation to Damage : A Coupled Model Chain for Spatially Coherent, Large‐Scale Flood Risk AssessmentChapter 10","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"71 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":"127386993","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}
A. Kettner, Sagy Cohen, I. Overeem, B. Fekete, G. Brakenridge, J. Syvitski
{"title":"Estimating Change in Flooding for the 21st Century Under a Conservative RCP Forcing","authors":"A. Kettner, Sagy Cohen, I. Overeem, B. Fekete, G. Brakenridge, J. Syvitski","doi":"10.1002/9781119217886.CH9","DOIUrl":"https://doi.org/10.1002/9781119217886.CH9","url":null,"abstract":"","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"9 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":"128242243","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 Hazard Mapping in Data-Scarce Areas","authors":"K. Yan, G. Baldassarre, F. Pappenberger","doi":"10.1002/9781119217886.CH5","DOIUrl":"https://doi.org/10.1002/9781119217886.CH5","url":null,"abstract":"","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"81 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":"133118640","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}
Andrew Smith, C. Sampson, J. Neal, P. Bates, M. Trigg, J. Freer, R. Porter, M. Kappes, A. Simpson, B. Jongman, Kris A. Johnson
{"title":"Modeling and Mapping of Global Flood Hazard Layers","authors":"Andrew Smith, C. Sampson, J. Neal, P. Bates, M. Trigg, J. Freer, R. Porter, M. Kappes, A. Simpson, B. Jongman, Kris A. Johnson","doi":"10.1002/9781119217886.CH8","DOIUrl":"https://doi.org/10.1002/9781119217886.CH8","url":null,"abstract":"","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"15 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":"123318498","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}
P. Ward, E. Perez, F. Dottori, B. Jongman, Tianyi Luo, S. Safaie, Steffi Uhlemann-Elmer
{"title":"The Need for Mapping, Modeling, and Predicting Flood Hazard and Risk at the Global Scale","authors":"P. Ward, E. Perez, F. Dottori, B. Jongman, Tianyi Luo, S. Safaie, Steffi Uhlemann-Elmer","doi":"10.1002/9781119217886.CH1","DOIUrl":"https://doi.org/10.1002/9781119217886.CH1","url":null,"abstract":"","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"54 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":"114540999","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}
A. Dasgupta, S. Grimaldi, R. Ramsankaran, V. Pauwels, J. Walker, M. Chini, R. Hostache, P. Matgen
{"title":"Flood Mapping Using Synthetic Aperture Radar Sensors From Local to Global Scales","authors":"A. Dasgupta, S. Grimaldi, R. Ramsankaran, V. Pauwels, J. Walker, M. Chini, R. Hostache, P. Matgen","doi":"10.1002/9781119217886.CH4","DOIUrl":"https://doi.org/10.1002/9781119217886.CH4","url":null,"abstract":"Flooding involves large inundated regions, which are often inaccessible or ungauged. Remote sensing (RS) data provide an elegant and practicable solution to assess spatiotemporal flood evolution. RS‐based flood map ping has witnessed significant research breakthroughs over the last decade. In addition to providing stakeholders with timely and spatially distributed information for crisis response [Schumann et al., 2016], RS‐based flood maps are now utilized for hydrodynamic model calibra tion and evaluation and to improve forecasts through assimilation [Schumann and Domeneghetti, 2016]. The cost of high resolution (>4 and ≤ 10 m) imagery and sparse temporal coverage previously acted as a deter rent to unlocking the full potential of RS for flood management. In 1999, the International Charter “Space and Major Disasters” was initiated to provide a unified system of rapid satellite data acquisition and delivery in the face of major disasters [Martinis et al., 2015b]. Floods are so frequently occurring and globally pervasive, that more than 50% of all satellite data requests through the charter were flood related in the past decade, as illus trated in Figure 4.1. The launch of several high‐resolu tion SAR missions has also contributed to improvements in the spatial and temporal resolutions and global cov erage, making their use in flood mapping more practical. A summary of currently operational, historical, and planned SAR missions is presented in Figure 4.2, with Table 4.1 providing details of the sensor characteristics. Sensors operating in the visible region of the electro magnetic (EM) spectrum offer the most straightforward ABSTRACT","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"8 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":"115544810","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":"Data Assimilation and River Hydrodynamic Modeling Over Large Scales","authors":"K. Andreadis","doi":"10.1002/9781119217886.CH13","DOIUrl":"https://doi.org/10.1002/9781119217886.CH13","url":null,"abstract":"","PeriodicalId":395561,"journal":{"name":"Global Flood Hazard","volume":"155 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":"122434048","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}