gchange  > 影响、适应和脆弱性
DOI: 10.1016/j.atmosres.2018.09.021
Scopus ID: 2-s2.0-85054192509
Title:
Error adjustment of TMPA satellite precipitation estimates and assessment of their hydrological utility in the middle and upper Yangtze River Basin, China
Author: Zhang Y.; Sun A.; Sun H.; Gui D.; Xue J.; Liao W.; Yan D.; Zhao N.; Zeng X.
Source Publication: Atmospheric Research
ISSN: 1698095
Indexed By: SCI ; SCI-E ; EI
Publishing Year: 2019
Volume: 216
pages begin: 52
pages end: 64
Language: 英语
Keyword: Conceptual Hydrological Models ; TMPA precipitation ; Xinanjiang Model ; Yangtze River Basin
Scopus Keyword: Calibration ; Flood control ; Floods ; Rain ; Rivers ; Runoff ; Settling tanks ; Water management ; Watersheds ; Calibration and validations ; Hydrological models ; Satellite precipitation estimates ; Spatial and temporal resolutions ; Spatio-temporal resolution ; Spatiotemporal distributions ; Xin-anjiang models ; Yangtze River basin ; Information management
English Abstract: Accurate and continuous precipitation amount and spatiotemporal distribution data are essential for water resource management, flood forecasting, and simulation of hydrological processes. Satellite-based precipitation products (SPPs) with high spatio-temporal resolution have been shown to represent a potential alternative data source for ungauged regions. The objective of this study was to evaluate the performance and the hydrological utility of a SPP (TMPA 3B42V7) driving two different hydrological models (Xinanjiang and Tank models) for runoff monitoring in the Yangtze River Basin in China. The results indicate that the TMPA precipitation data can be applied for runoff simulation compared to the ground-gauged data, and the adjustment of TMPA data can be helpful to improve the accuracy of rainfall data at the point and region scale. Two adjustment equations were proposed in this study (the geographical adjustment model and the additive error adjustment model), and the Bias had significantly improved, which solve the problem of data undervaluation. In addition, the TMPA precipitation data show an acceptable accuracy for driving the Xinanjiang and Tank models for the purpose of runoff monitoring. By utilizing the measured runoff data from the four main stations of the Yangtze River Basin, an excellent performance was shown in Xinanjiang model with the determined coefficient of 0.945–0.966 and 0.900–0.922 for the calibration and validation periods, respectively. This was similar for the Tank model with values of 0.943–0.963 and 0.917–0.920 for the calibration and validation periods, respectively. Based on these results, TMPA data would be helpful not only for understanding the characteristics of precipitation at high spatial and temporal resolution, but also for estimating near-real time runoff patterns. © 2018
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被引频次[WOS]:6   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Identifier: http://119.78.100.177/globalchange/handle/2HF3EXSE/109041
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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Affiliation: College of Hydropower & Information Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China; China Institute of Water Resource and Hydropower Research, Beijing, 100038, China; Cele National Station of Observation & Research for Desert-Grassland Ecosystem, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China

Recommended Citation:
Zhang Y.,Sun A.,Sun H.,et al. Error adjustment of TMPA satellite precipitation estimates and assessment of their hydrological utility in the middle and upper Yangtze River Basin, China[J]. Atmospheric Research,2019-01-01,216
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