干旱区生态环境知识资源中心(Arid): Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region

Arid

DOI	10.1016/j.jaridenv.2023.105010
	Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region
	Kagone, S.; Velpuri, N. M.; Khand, K.; Senay, G. B.; van der Valk, M. R.; Goode, D. J.; Abu Hantash, S.; Al-Momani, T. M.; Momejian, N.; Eggleston, J. R.
通讯作者	Kagone, S
来源期刊	JOURNAL OF ARID ENVIRONMENTS
ISSN	0140-1963
EISSN	1095-922X
出版年	2023
卷号	215
英文摘要	The availability of reliable gridded precipitation datasets is limited around the world, especially in arid regions. In this study, we utilized observations from satellite-based precipitation data and in situ rain gauge observations to determine a suitable precipitation dataset in the Middle East & North Africa (MENA) region. First, we eval-uated seven different precipitation products using rain gauge observations. The validation was conducted at the daily, monthly, and annual time scales. Results indicated a weaker correlation between in situ rain gauge observation and satellite precipitation data at the daily time step (r: 0.02 to 0.44), mainly due to the lack of range in precipitation distribution. However, the agreement between precipitation estimates and in situ gauge obser-vations improved at monthly (r: 0.02 to 0.66) and annual time scales (r:-0.22 to 0.57), indicating greater reliability of satellite-based precipitation at monthly and annual time scales. Based on the results and dataset availability, the Multi-Source Weighted-Ensemble Precipitation (MSWEP) was deemed suitable to create a bias -corrected new precipitation dataset for the MENA region. This study highlights the benefits of an adjusted regional precipitation product for hydrologic applications in the MENA region, such as streamflow or runoff estimation, to improve the reliability of the model outputs.
英文关键词	MENA Precipitation Remote sensing In situ precipitation measurements
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:001012697100001
WOS关键词	GLOBAL GRIDDED PRECIPITATION ; MIDDLE-EAST ; NORTH-AFRICA ; RAINFALL ; GAUGE ; INTERPOLATION ; PERFORMANCE ; RESOURCES ; SPLINE ; MODEL
WOS类目	Ecology ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397151
推荐引用方式 GB/T 7714	Kagone, S.,Velpuri, N. M.,Khand, K.,et al. Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region[J],2023,215.
APA	Kagone, S..,Velpuri, N. M..,Khand, K..,Senay, G. B..,van der Valk, M. R..,...&Eggleston, J. R..(2023).Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region.JOURNAL OF ARID ENVIRONMENTS,215.
MLA	Kagone, S.,et al."Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region".JOURNAL OF ARID ENVIRONMENTS 215(2023).