干旱区生态环境知识资源中心(Arid): Improved Estimates of Pentad Precipitation Through the Merging of Independent Precipitation Data Sets

Arid

DOI	10.1029/2021WR030330
	Improved Estimates of Pentad Precipitation Through the Merging of Independent Precipitation Data Sets
	Koster, Randal D.; Liu, Qing; Reichle, Rolf H.; Huffman, George J.
通讯作者	Koster, RD (corresponding author)，NASA, Global Modeling & Assimilat Off, GSFC, Greenbelt, MD 20771 USA.
来源期刊	WATER RESOURCES RESEARCH
ISSN	0043-1397
EISSN	1944-7973
出版年	2021
卷号	57 期号:12
英文摘要	Three independent, quasi-global, gridded data sets of precipitation (a rain gauge-based data set, the satellite-only component of the NASA Integrated Multi-satellitE Retrievals for Global Precipitation Measurement mission (IMERG) Final Run precipitation product, and precipitation estimates derived from NASA Soil Moisture Active Passive (SMAP) soil moisture retrievals), are objectively combined into a single pentad precipitation data set at 36-km resolution using a unique approach based on extended triple collocation. The quality of each of the four data sets is then evaluated against independent observations. When a global land surface model at 36-km resolution is integrated four times, once utilizing the merged precipitation forcing and once with each of the three contributing data sets, the near-surface soil moisture variations produced with the merged forcing validate best against independent satellite-based soil moisture fields. In addition, the merged data set is found to be more consistent, relative to each contributor, with estimates of air temperature variations across the globe. The merged data set thus appears to draw successfully on the complementary strengths of each contributor: the particularly high quality of the rain gauge-based data set in areas of high gauge density, the more uniform accuracy across the globe of the IMERG data, and the moderate accuracy, particularly in semi-arid regions, of the soil moisture retrieval-based data.
英文关键词	precipitation estimation merging of precipitation data sets
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000735901700008
WOS关键词	CATCHMENT-BASED APPROACH ; LAND-SURFACE PROCESSES ; SOIL-MOISTURE PRODUCT ; HYDROLOGICAL MODELS ; RAINFALL ; SATELLITE ; GAUGE ; SENSITIVITY ; ERRORS
WOS类目	Environmental Sciences ; Limnology ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/375743
作者单位	[Koster, Randal D.; Liu, Qing; Reichle, Rolf H.] NASA, Global Modeling & Assimilat Off, GSFC, Greenbelt, MD 20771 USA; [Liu, Qing] Sci Syst & Applicat Inc, Lanham, MD USA; [Huffman, George J.] NASA, Mesoscale Atmospher Proc Lab, GSFC, Greenbelt, MD USA
推荐引用方式 GB/T 7714	Koster, Randal D.,Liu, Qing,Reichle, Rolf H.,et al. Improved Estimates of Pentad Precipitation Through the Merging of Independent Precipitation Data Sets[J],2021,57(12).
APA	Koster, Randal D.,Liu, Qing,Reichle, Rolf H.,&Huffman, George J..(2021).Improved Estimates of Pentad Precipitation Through the Merging of Independent Precipitation Data Sets.WATER RESOURCES RESEARCH,57(12).
MLA	Koster, Randal D.,et al."Improved Estimates of Pentad Precipitation Through the Merging of Independent Precipitation Data Sets".WATER RESOURCES RESEARCH 57.12(2021).