GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2019.104746
Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China
Wang, Ning1; Liu, Wenbin2; Sun, Fubao2,4; Yao, Zhihong3; Wang, Hong2; Liu, Wanqing1
2020-04-01
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2020
卷号234
文章类型Article
语种英语
国家Peoples R China
英文摘要

The wide application of satellite-based and reanalysis-based precipitation data has greatly promoted hydrometeorological research in areas where precipitation observations are scarce. However, the suitability of such precipitation products needs to be carefully evaluated before applications in certain basins because their inherited errors vary with different climate zones, seasonal cycles and land surface conditions; in addition, precipitation products have not been evaluated in the Xihe River basin, China. In this paper, two representative satellite-based precipitation products (Tropical Rainfall Measuring Mission (TRMM) and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (CDR)) and two reanalysis-based precipitation products (China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS) and National Centers for Environmental Prediction - Climate Forecast System Reanalysis (CFSR)) were selected for evaluation and corrected against gauge-observed data (OBS). Furthermore, the performances of precipitation products in hydrological simulations were also assessed using the SWAT model calibrated with OBS forcing and not with individual precipitation products. The results show that satellite-based precipitation has a higher quality than reanalysis-based precipitation. The CFSR and CDR overestimate precipitation (the overestimation of CDR precipitation is mainly concentrated in the precipitation intensity range of 1 mm/d to 5 mm/d), while the TRMM and CMADS underestimate precipitation in the Xihe River basin. The TRMM precipitation performs best during the wet season, while the CDR precipitation performed best during the dry season. After bias correction, the quality of TRMM precipitation improves significantly. The Nash-Sutcliffe coefficient (NS) (the percent bias (vertical bar PBIAS vertical bar)) increases (decreases) by 0.61 (77.27%) and 0.7 (39.15%) under the two different correction scenarios during 2009-2015. Overall, the above original precipitation products cannot be used as supplements to the OBS in the Xihe River basin unless they are corrected by the OBS.


英文关键词Satellite-based precipitation Reanalysis-based precipitation Error correction Hydrological model Xihe River Basin
领域地球科学
收录类别SCI-E
WOS记录号WOS:000513182600022
WOS关键词GPM IMERG ; LAND-USE ; PRODUCTS ; WATER ; EVAPOTRANSPIRATION ; UNCERTAINTY ; PERFORMANCE ; VARIABILITY ; SIMULATION ; STREAMFLOW
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
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/278829
专题地球科学
作者单位1.Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China;
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China;
3.North China Univ Water Resources & Elect Power, Coll Surveying & Geoinformat, Zhengzhou 450045, Peoples R China;
4.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
推荐引用方式
GB/T 7714
Wang, Ning,Liu, Wenbin,Sun, Fubao,et al. Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China[J]. ATMOSPHERIC RESEARCH,2020,234.
APA Wang, Ning,Liu, Wenbin,Sun, Fubao,Yao, Zhihong,Wang, Hong,&Liu, Wanqing.(2020).Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China.ATMOSPHERIC RESEARCH,234.
MLA Wang, Ning,et al."Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China".ATMOSPHERIC RESEARCH 234(2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Ning]的文章
[Liu, Wenbin]的文章
[Sun, Fubao]的文章
百度学术
百度学术中相似的文章
[Wang, Ning]的文章
[Liu, Wenbin]的文章
[Sun, Fubao]的文章
必应学术
必应学术中相似的文章
[Wang, Ning]的文章
[Liu, Wenbin]的文章
[Sun, Fubao]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。