干旱区生态环境知识资源中心(Arid): The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison

Arid

DOI	10.3390/rs12030481
	The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison
	Pellarin, Thierry 1; Roman-Cascon, Carlos 1,2; Baron, Christian 3; Bindlish, Rajat 4; Brocca, Luca 5; Camberlin, Pierre 6; Fernandez-Prieto, Diego 7; Kerr, Yann H.8; Massari, Christian 5; Panthou, Geremy 1; Perrimond, Benoit 1; Philippon, Nathalie 1; Quantin, Guillaume 1
通讯作者	Pellarin, Thierry
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:3
英文摘要	Near real-time precipitation is essential to many applications. In Africa, the lack of dense rain-gauge networks and ground weather radars makes the use of satellite precipitation products unavoidable. Despite major progresses in estimating precipitation rate from remote sensing measurements over the past decades, satellite precipitation products still suffer from quantitative uncertainties and biases compared to ground data. Consequently, almost all precipitation products are provided in two modes: a real-time mode (also called early-run or raw product) and a corrected mode (also called final-run, adjusted or post-processed product) in which ground precipitation measurements are integrated in algorithms to correct for bias, generally at a monthly timescale. This paper describes a new methodology to provide a near-real-time precipitation product based on satellite precipitation and soil moisture measurements. Recent studies have shown that soil moisture intrinsically contains information on past precipitation and can be used to correct precipitation uncertainties. The PrISM (Precipitation inferred from Soil Moisture) methodology is presented and its performance is assessed for five in situ rainfall measurement networks located in Africa in semi-arid to wet areas: Niger, Benin, Burkina Faso, Central Africa, and East Africa. Results show that the use of SMOS (Soil Moisture and Ocean Salinity) satellite soil moisture measurements in the PrISM algorithm most often improves the real-time satellite precipitation products, and provides results comparable to existing adjusted products, such as TRMM (Tropical Rainfall Measuring Mission), GPCC (Global Precipitation Climatology Centre) and IMERG (Integrated Multi-satellitE Retrievals for GPM), which are available a few weeks or months after their detection.
英文关键词	precipitation soil moisture Africa satellite rainfall products comparison
类型	Article
语种	英语
国家	France ; USA ; Italy
开放获取类型	Green Published, gold, Green Accepted
收录类别	SCI-E
WOS记录号	WOS:000515393800140
WOS关键词	WEST-AFRICA ; SATELLITE PRECIPITATION ; GLOBAL RAINFALL ; PERFORMANCE ; LAND ; CLIMATE ; MICROWAVE ; WATER ; TRMM
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	French National Research Institute for Sustainable Development
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315420
作者单位	1.Univ Grenoble Alpes, CNRS, IRD, Grenoble INP,IGE, F-38000 Grenoble, France; 2.Univ Toulouse Paul Sabatier, CNRS, Lab Aerol, F-31400 Toulouse, France; 3.Maison Teledetect, CIRAD UMR TETIS, 500 Rue JF Breton, F-34093 Montpellier, France; 4.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 5.Res Inst Geohydrol Protect, Via Madonna Alta 126, I-06128 Perugia, Italy; 6.Univ Bourgogne Franche Comte, Ctr Rech Climatol Biogeosci, UMR 6282, CNRS, F-21000 Dijon, France; 7.EO Sci, Applicat & Climate Dept, Largo Galileo Galilei 1, I-00044 Frascati, Italy; 8.CESBIO CNRS UPS IRD CNES, 18 Av Edouard Belin,Bpi 2801, F-31401 Toulouse 9, France
推荐引用方式 GB/T 7714	Pellarin, Thierry,Roman-Cascon, Carlos,Baron, Christian,et al. The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison[J]. French National Research Institute for Sustainable Development,2020,12(3).
APA	Pellarin, Thierry.,Roman-Cascon, Carlos.,Baron, Christian.,Bindlish, Rajat.,Brocca, Luca.,...&Quantin, Guillaume.(2020).The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison.REMOTE SENSING,12(3).
MLA	Pellarin, Thierry,et al."The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison".REMOTE SENSING 12.3(2020).