气候变化领域集成服务门户(CCPortal): Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin

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DOI	10.5194/hess-23-3057-2019
	Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin
	Towner J.; Cloke H.L.; Zsoter E.; Flamig Z.; Hoch J.M.; Bazo J.; De Perez E.C.; Stephens E.M.
发表日期	2019
ISSN	1027-5606
起始页码	3057
结束页码	3080
卷号	23 期号:7
英文摘要	Extreme flooding impacts millions of people that live within the Amazon floodplain. Global hydrological models (GHMs) are frequently used to assess and inform the management of flood risk, but knowledge on the skill of available models is required to inform their use and development. This paper presents an intercomparison of eight different GHMs freely available from collaborators of the Global Flood Partnership (GFP) for simulating floods in the Amazon basin. To gain insight into the strengths and shortcomings of each model, we assess their ability to reproduce daily and annual peak river flows against gauged observations at 75 hydrological stations over a 19-year period (1997-2015). As well as highlighting regional variability in the accuracy of simulated streamflow, these results indicate that (a) the meteorological input is the dominant control on the accuracy of both daily and annual maximum river flows, and (b) groundwater and routing calibration of Lisflood based on daily river flows has no impact on the ability to simulate flood peaks for the chosen river basin. These findings have important relevance for applications of large-scale hydrological models, including analysis of the impact of climate variability, assessment of the influence of long-term changes such as land-use and anthropogenic climate change, the assessment of flood likelihood, and for flood forecasting systems. © 2019 Author(s).
语种	英语
scopus关键词	Climate change; Climate models; Flood control; Flow of water; Groundwater; Land use; Risk assessment; Rivers; Amazon floodplain; Anthropogenic climate changes; Climate variability; Flood forecasting; Hydrological models; Large scale hydrological model; Meteorological input; Regional variability; Floods; anthropogenic effect; climate change; flood forecasting; flood routing; flooding; groundwater flow; hydrological modeling; knowledge; river flow; Amazon Basin
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159642
作者单位	Towner, J., Department of Geography and Environmental Science, University of Reading, Reading, RG6 6AB, United Kingdom; Cloke, H.L., Department of Geography and Environmental Science, University of Reading, Reading, RG6 6AB, United Kingdom, Department of Meteorology, University of Reading, Reading, RG6 6BB, United Kingdom, Department of Earth Sciences, Uppsala University, Uppsala, 752 36, Sweden, Centre of Natural Hazards and Disaster Science, CNDS, Uppsala, 752 36, Sweden; Zsoter, E., Department of Geography and Environmental Science, University of Reading, Reading, RG6 6AB, United Kingdom, European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG6 9AX, United Kingdom; Flamig, Z., University of Chicago Center for Data Intensive Science, Chicago, United States; Hoch, J.M., Department of Physical Geography, Utrecht University, P.O. Box 80115, Utrecht, 3508 TC, Netherlands, Deltares, P.O. Box 177, Delft, 2600 MH, Netherlands; Bazo, J., Red Cross Red Crescent Climate Centre, The Hague, ...
推荐引用方式 GB/T 7714	Towner J.,Cloke H.L.,Zsoter E.,et al. Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin[J],2019,23(7).
APA	Towner J..,Cloke H.L..,Zsoter E..,Flamig Z..,Hoch J.M..,...&Stephens E.M..(2019).Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin.Hydrology and Earth System Sciences,23(7).
MLA	Towner J.,et al."Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin".Hydrology and Earth System Sciences 23.7(2019).