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

Arid

DOI	10.1007/s11769-021-1205-9
	Evaluation of Precipitation Datasets from TRMM Satellite and Down-scaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China
	Zhang Lanhui; He Chansheng; Tian Wei; Zhu Yi
通讯作者	Zhang, LH ; He, CS (corresponding author), Lanzhou Univ, Coll Earth & Environm Sci, Minist Educ, Key Lab West Chinas Environm Syst, Lanzhou 730000, Peoples R China. ; He, CS (corresponding author), Western Michigan Univ, Dept Geog, Kalamazoo, MI 49008 USA.
来源期刊	CHINESE GEOGRAPHICAL SCIENCE
ISSN	1002-0063
EISSN	1993-064X
出版年	2021
卷号	31 期号:3 页码:474-490
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
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000648287300007
WOS关键词	ANALYSIS TMPA ; HYDROLOGICAL APPLICATION ; RIVER-BASIN ; CLIMATE MODEL ; WATER-QUALITY ; MULTISATELLITE ; RAINFALL ; UNCERTAINTY ; SIMULATIONS ; TEMPERATURE
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367925
作者单位	[Zhang Lanhui; He Chansheng; Tian Wei; Zhu Yi] Lanzhou Univ, Coll Earth & Environm Sci, Minist Educ, Key Lab West Chinas Environm Syst, Lanzhou 730000, Peoples R China; [He Chansheng] Western Michigan Univ, Dept Geog, Kalamazoo, MI 49008 USA
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 Down-scaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China[J]. 兰州大学,2021,31(3):474-490.
APA	Zhang Lanhui,He Chansheng,Tian Wei,&Zhu Yi.(2021).Evaluation of Precipitation Datasets from TRMM Satellite and Down-scaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China.CHINESE GEOGRAPHICAL SCIENCE,31(3),474-490.
MLA	Zhang Lanhui,et al."Evaluation of Precipitation Datasets from TRMM Satellite and Down-scaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China".CHINESE GEOGRAPHICAL SCIENCE 31.3(2021):474-490.