干旱区生态环境知识资源中心(Arid): Evaluation of Precipitation Datasets from TRMM Satellite and Downscaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China

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	Evaluation of Precipitation Datasets from TRMM Satellite and Downscaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China
	Zhang Lanhui; He Chansheng; Tian Wei; Zhu Yi
来源期刊	中国地理科学(英文版)
ISSN	1002-0063
出版年	2021
卷号	31 期号:3 页码:1002-0063
英文摘要	Accurate estimates of precipitation are fundamental for hydrometeorological and ecohydrological studies, but are more difficult in high mountainous areas because of the high elevation and complex terrain. This study compares and evaluates two kinds of precipitation datasets, the reanalysis product downscaled by the Weather Research and Forecasting (WRF) output, and the satellite product, the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) product, as well as their bias-corrected datasets in the Middle Qilian Mountain in Northwest China. Results show that the WRF output with finer resolution performs well in both estimating precipitation and hydrological simulation, while the TMPA product is unreliable in high mountainous areas. Moreover, bias-corrected WRF output also performs better than bias-corrected TMPA product. Combined with the previous studies, atmospheric reanalysis datasets are more suitable than the satellite products in high mountainous areas. Climate is more important than altitude for the falseAlarms events of the TRMM product. Designed to focus on the tropical areas, the TMPA product mistakes certain meteorological situations for precipitation in subhumid and semiarid areas, thus causing significant falseAlarms events and leading to significant overestimations and unreliable performance. Simple linear bias correction method, only removing systematical errors, can significantly improves the accuracy of both the WRF output and the TMPA product in arid high mountainous areas with data scarcity. Evaluated by hydrological simulations, the bias-corrected WRF output is more reliable than the gauge dataset. Thus, data merging of the WRF output and gauge observations would provide more reliable precipitation estimations in arid high mountainous areas.
英文关键词	evaluation Weather Research and Forecasting (WRF) Tropical Rainfall Measuring Mission (TRMM) precipitation bias correction high mountainous areas
类型	Article
语种	英语
国家	中国
开放获取类型	Bronze
收录类别	CSCD
WOS类目	Science & Technology - Other Topics
CSCD记录号	CSCD:6955542
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/365412
作者单位	Zhang Lanhui, College of Earth and Environmental Sciences, Lanzhou University, Key Laboratory of West Chinas Environmental System (Ministry of Education), Lanzhou, Gansu 730000, China.; Tian Wei, College of Earth and Environmental Sciences, Lanzhou University, Key Laboratory of West Chinas Environmental System (Ministry of Education), Lanzhou, Gansu 730000, China.; Zhu Yi, College of Earth and Environmental Sciences, Lanzhou University, Key Laboratory of West Chinas Environmental System (Ministry of Education), Lanzhou, Gansu 730000, China.; He Chansheng, College of Earth and Environmental Sciences, Lanzhou University;;Department of Geography, Western Michigan University, Key Laboratory of West Chinas Environmental System (Ministry of Education);;, Lanzhou;;Kalamazoo Michigan, ;;USA 730000;;49008.
推荐引用方式 GB/T 7714	Zhang Lanhui,He Chansheng,Tian Wei,et al. Evaluation of Precipitation Datasets from TRMM Satellite and Downscaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China[J],2021,31(3):1002-0063.
APA	Zhang Lanhui,He Chansheng,Tian Wei,&Zhu Yi.(2021).Evaluation of Precipitation Datasets from TRMM Satellite and Downscaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China.中国地理科学(英文版),31(3),1002-0063.
MLA	Zhang Lanhui,et al."Evaluation of Precipitation Datasets from TRMM Satellite and Downscaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China".中国地理科学(英文版) 31.3(2021):1002-0063.