干旱区生态环境知识资源中心(Arid): Spatiotemporal evaluation of five satellite-based precipitation products under the arid environment of Saudi Arabia

Arid

DOI	10.1063/5.0191924
	Spatiotemporal evaluation of five satellite-based precipitation products under the arid environment of Saudi Arabia
	Jazem Ghanim, Abdulnoor Ali; Anjum, Muhammad Naveed; Alharbi, Raid Saad; Aurangzaib, Muhammad; Zafar, Usama; Rehamn, Abdur; Irfan, Muhammad; Rahman, Saifur; Faraj Mursal, Salim Nasar; Alyami, Saleh; Algobahi, Redhwan M.; Alhamami, Ali
通讯作者	Algobahi, RM
来源期刊	AIP ADVANCES
EISSN	2158-3226
出版年	2024
卷号	14 期号:4
英文摘要	In arid regions like Saudi Arabia, accurate precipitation data are crucial for water resource management and climate studies. However, satellite-based precipitation products (SPPs) can contain uncertainties, impacting their reliability. This study evaluated the accuracy of five high-resolution SPPs [IMERG-V06 variants, Tropical Rainfall Measuring Mission (TRMM)-3B42V7, and Soil Moisture to Rain (SM2RAIN)-Advanced SCATterometer (ASCAT)] over Saudi Arabia. We compared daily, monthly, and yearly precipitation estimates from SPPs with in situ rain gauge data (2010-2022) using both continuous and categorical metrics. The evaluation encompassed point-to-pixel comparisons, regional analysis, and national assessments. All SPPs effectively captured the spatiotemporal patterns of precipitation across the country. Notably, monthly estimates showed stronger agreement with rain gauge data than daily estimates, as indicated by higher correlation coefficients. IMERG products generally outperformed SM2RAIN-ASCAT and TRMM, with IMERG-LR exhibiting superior performance in estimating monthly precipitation. However, underestimation of light precipitation events (<2 mm/day) was observed across all SPPs. In addition, their ability to detect moderate and heavy precipitation events remained uncertain, requiring further investigation. While IMERG-FR showed reduced bias and root mean square error compared to IMERG-ER and IMERG-LR, its capability for precipitation event detection did not exhibit significant improvement. This study highlights the need for bias correction of IMERG-LR and IMERG-FR monthly estimates for improved application in hydrometeorological studies in Saudi Arabia. Our findings contribute valuable insights for both data users and SPP algorithm developers, aiming to enhance the accuracy and reliability of satellite-derived precipitation data in arid environments.
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001201690900005
WOS关键词	INTEGRATED MULTISATELLITE RETRIEVALS ; GPM IMERG ; PERFORMANCE EVALUATION ; TRMM 3B42 ; REGION
WOS类目	Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied
WOS研究方向	Science & Technology - Other Topics ; Materials Science ; Physics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/402806
推荐引用方式 GB/T 7714	Jazem Ghanim, Abdulnoor Ali,Anjum, Muhammad Naveed,Alharbi, Raid Saad,et al. Spatiotemporal evaluation of five satellite-based precipitation products under the arid environment of Saudi Arabia[J],2024,14(4).
APA	Jazem Ghanim, Abdulnoor Ali.,Anjum, Muhammad Naveed.,Alharbi, Raid Saad.,Aurangzaib, Muhammad.,Zafar, Usama.,...&Alhamami, Ali.(2024).Spatiotemporal evaluation of five satellite-based precipitation products under the arid environment of Saudi Arabia.AIP ADVANCES,14(4).
MLA	Jazem Ghanim, Abdulnoor Ali,et al."Spatiotemporal evaluation of five satellite-based precipitation products under the arid environment of Saudi Arabia".AIP ADVANCES 14.4(2024).