| 题名 | How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling |
| 作者 | |
| 通讯作者 | Yin, Jiabo |
| 发表日期 | 2023-02
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| DOI | |
| 发表期刊 | |
| ISSN | 0022-1694
|
| EISSN | 1879-2707
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| 卷号 | 617 |
| 摘要 | Multi-satellite, gauge-based and atmospheric reanalysis precipitation and temperature datasets with increasing spatiotemporal resolution are proliferating in recent decades. Their estimation accuracy has been evaluated in several areas, but their applications in global hydrological monitoring and modelling have been poorly understood so far. Here, we focus on the performance of the recently released Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2) and the atmospheric reanalysis ERA5 temperature in modelling daily river discharge over 10,596 global catchments. Four lumped models including XAJ, GR4J, HMETS, and HBV are employed to take different model conceptual schemes into consideration. Moreover, different streamflow conditions including the peak timing and volumes of both high and low flows are evaluated to reveal further dynamics. The results show that: (a) the MSWEP V2 and ERA5 combination yields satisfactory performance in global streamflow simulation with at least one candidate model exhibiting Kling-Gupta efficiency (KGE) > 0.5 at both calibration and validation periods for each catchment; (b) better simulation skills are achieved in temperate, cold, polar, and tropical Köppen-Geiger climate zones, whereas the arid zone has poorer performance; (c) the XAJ, GR4J, and HMETS models with different degree of realisms have their own merits in simulating both daily mean flow and wet flow conditions but perform less satisfactorily in low flow conditions, while the HBV exhibits consistently poor performance in various flow conditions over most catchments. Our findings highlight the importance of selecting appropriate hydrological models by considering both climatic and geophysical conditions and targeting streamflow metrics, and suggest the potential of using multi-satellite and atmospheric reanalysis datasets as observed alternatives for quasi-global hydrological modelling. © 2022 Elsevier B.V. |
| 关键词 | |
| 相关链接 | [来源记录] |
| 收录类别 | |
| 语种 | 英语
|
| 学校署名 | 其他
|
| 资助项目 | This work was supported by the National Key Research and Development Program of China (2021YFC3200301), the National Natural Science Foundation of China (52209020; 52009091), the Guangdong Provincial Department of Science and Technology (2019ZT08G090) and the Fundamental Research Funds for the Central Universities (2021XXJS077). The authors would like to thank the ECMWF for providing the ERA5 reanalysis dataset and the GloH2O for making the MSWEP V2 data available, and GRDC, USGS, UKCEH, ECCC, WSC, ANA and the Ministry of Water Resources of China for providing the streamflow gauge records.This work was supported by the National Key Research and Development Program of China (2021YFC3200301), the National Natural Science Foundation of China (52209020; 52009091), the Guangdong Provincial Department of Science and Technology (2019ZT08G090) and the Fundamental Research Funds for the Central Universities (2021XXJS077). The authors would like to thank the ECMWF for providing the ERA5 reanalysis dataset and the GloH2O for making the MSWEP V2 data available, and GRDC, USGS, UKCEH, ECCC, WSC, ANA and the Ministry of Water Resources of China for providing the streamflow gauge records. Data and materials availability, All data in this study are publicly available. The ERA5 data can be downloaded from the website of ECMWF (https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5), the MSWEP V2 data from http://www.gloh2o.org/. The global gauge records are available from (a) the Global River Discharge Centre (GRDC); (b) the U.S. Geological Survey (USGS) National Water Information System; (c) the Environment and Climate Change Canada (ECCC) Water Survey of Canada (WSC); (d) the National River Flow Archive from the UK Centre for Ecology & Hydrology (UKCEH); (e) the Brazilian National Water Agency; (f) the Australian Bureau of Meteorology; (g) the European Water Archive of the European Flow Regimes from International Experimental and Network Data; (h) the Chilean Centre for Climate and Resilience Research; (i) the Ministry of Water Resources of China.
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| WOS研究方向 | Engineering
; Geology
; Water Resources
|
| WOS类目 | Engineering, Civil
; Geosciences, Multidisciplinary
; Water Resources
|
| WOS记录号 | WOS:000906859400001
|
| 出版者 | |
| EI入藏号 | 20225213291223
|
| EI主题词 | Arid regions
; Climate models
; Runoff
; Satellites
; Stream flow
|
| EI分类号 | Waterways:407.2
; Flood Control:442.1
; Meteorology:443
; Water Resources:444
; Surface Water:444.1
; Fluid Flow, General:631.1
; Satellites:655.2
; Mathematics:921
|
| ESI学科分类 | ENGINEERING
|
| 来源库 | EV Compendex
|
| 引用统计 |
被引频次[WOS]：6
|
| 成果类型 | 期刊论文 |
| 条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/519702 |
| 专题 | 工学院_环境科学与工程学院 |
| 作者单位 | 1.School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan; 500074, China 2.Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan; 430074, China 3.State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan; 500072, China 4.Research School of Earth Sciences, Australian National University, ACT; 2601, Australia 5.School of Geodesy and Geomatics, Wuhan University, Wuhan; 430079, China 6.School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen; 518055, China 7.Center for Water Resources and Environment, Sun Yat-sen University, Guangzhou; 510275, China |
| 推荐引用方式 GB/T 7714 |
Gu, Lei,Yin, Jiabo,Wang, Sheng,et al. How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling[J]. JOURNAL OF HYDROLOGY,2023,617.
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| APA |
Gu, Lei.,Yin, Jiabo.,Wang, Sheng.,Chen, Jie.,Qin, Hui.,...&Zhao, Tongtiegang.(2023).How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling.JOURNAL OF HYDROLOGY,617.
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| MLA |
Gu, Lei,et al."How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling".JOURNAL OF HYDROLOGY 617(2023).
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| 条目包含的文件 | 条目无相关文件。 | |||||
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