Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL075502 |
Can Atmospheric Reanalysis Data Sets Be Used to Reproduce Flooding Over Large Scales? | |
Andreadis, Konstantinos M.1; Schumann, Guy J. -P.2,3; Stampoulis, Dimitrios4; Bates, Paul D.3; Brakenridge, G. Robert5; Kettner, Albert J.5 | |
2017-10-28 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2017 |
卷号 | 44期号:20 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; England |
英文摘要 | Floods are costly to global economies and can be exceptionally lethal. The ability to produce consistent flood hazard maps over large areas could provide a significant contribution to reducing such losses, as the lack of knowledge concerning flood risk is a major factor in the transformation of river floods into flood disasters. In order to accurately reproduce flooding in river channels and floodplains, high spatial resolution hydrodynamic models are needed. Despite being computationally expensive, recent advances have made their continental to global implementation feasible, although inputs for long-term simulations may require the use of reanalysis meteorological products especially in data-poor regions. We employ a coupled hydrologic/hydrodynamic model cascade forced by the 20CRv2 reanalysis data set and evaluate its ability to reproduce flood inundation area and volume for Australia during the 1973-2012 period. Ensemble simulations using the reanalysis data were performed to account for uncertainty in the meteorology and compared with a validated benchmark simulation. Results show that the reanalysis ensemble capture the inundated areas and volumes relatively well, with correlations for the ensemble mean of 0.82 and 0.85 for area and volume, respectively, although the meteorological ensemble spread propagates in large uncertainty of the simulated flood characteristics. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000416761600035 |
WOS关键词 | CLIMATE DATA ; MODEL ; PRECIPITATION ; AUSTRALIA ; HAZARD ; RISK ; RAINFALL ; VALUES |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/26475 |
专题 | 气候变化 |
作者单位 | 1.CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA; 2.Remote Sensing Solut Inc, Monrovia, CA USA; 3.Univ Bristol, Sch Geog Sci, Bristol, Avon, England; 4.Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA USA; 5.Univ Colorado, Inst Arctic & Alpine Res, Boulder, CO 80309 USA |
推荐引用方式 GB/T 7714 | Andreadis, Konstantinos M.,Schumann, Guy J. -P.,Stampoulis, Dimitrios,et al. Can Atmospheric Reanalysis Data Sets Be Used to Reproduce Flooding Over Large Scales?[J]. GEOPHYSICAL RESEARCH LETTERS,2017,44(20). |
APA | Andreadis, Konstantinos M.,Schumann, Guy J. -P.,Stampoulis, Dimitrios,Bates, Paul D.,Brakenridge, G. Robert,&Kettner, Albert J..(2017).Can Atmospheric Reanalysis Data Sets Be Used to Reproduce Flooding Over Large Scales?.GEOPHYSICAL RESEARCH LETTERS,44(20). |
MLA | Andreadis, Konstantinos M.,et al."Can Atmospheric Reanalysis Data Sets Be Used to Reproduce Flooding Over Large Scales?".GEOPHYSICAL RESEARCH LETTERS 44.20(2017). |
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