中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Performance evaluation and correction of precipitation data using the 20-year IMERG and TMPA precipitation products in diverse subregions of China

文献类型:期刊论文

作者Ma, Qian1,2; Li, Yi1,2; Feng, Hao3; Yu, Qiang3; Zou, Yufeng4; Liu, Fenggui5; Pulatov, Bakhtiyor6
刊名ATMOSPHERIC RESEARCH
出版日期2021-02-01
卷号249页码:16
ISSN号0169-8095
关键词Multi-satellite precipitation product TMPA IMERG China Climate zone
DOI10.1016/j.atmosres.2020.105304
通讯作者Li, Yi(liyi@nwafu.edu.cn)
英文摘要The latest Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG) dataset version 6, which is the successor of the multi-satellite 3B42 dataset from the Tropical Rainfall Measuring Mission Multi satellite Precipitation Analysis (TMPA), is now recommended for many purposes. It is unclear how the quality of the latest IMERG data products compares to that of the delisted TMPA series data sets. This study evaluated the accuracy of TRMM 3B42 version 7 and IMERG final version 6 products at 677 stations in the 7 subregions of China over 2000-2019 at the daily, monthly and annual timescales based on gauge-observed precipitation data. The performance of TMPA and IMERG precipitation products was assessed by six statistical indices. The product with the best performance was corrected based on the linear relationship of monthly precipitation between remote sensing products and ground-observed precipitation. The correction was then used for the predicting and mapping of precipitation in July 2019. The results showed that (1) IMERG outperformed TMPA at all three timescales, and the accuracy increased with the expanding timescale. (2) IMERG exhibited better performance in all subregions than TMPA and performed best in the mid-temperate semihumid zone and worst in the mid temperature arid zone. (3) IMERG showed higher accuracy than TMPA in all months for most subregions and mainland China but performed worse in dry (December, January and February) and wet (July, August and September) months. (4) The linear relationship between remote sensing products and ground-observed precipitation could be used to correct and predict satellite precipitation data without up-to-date gauge observations, the predicted map indicated the good spatial variation in precipitation and better accuracy than the original IMERG data. In conclusion, the IMERG dataset was more accurate and could be used for precipitation investigations at large scales in China.
资助项目National Natural Science Foundation of China[52079114] ; China 111 project[B12007]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
出版者ELSEVIER SCIENCE INC
WOS记录号WOS:000596388600001
资助机构National Natural Science Foundation of China ; China 111 project
源URL[http://ir.igsnrr.ac.cn/handle/311030/137526]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Yi
作者单位1.Northwest A&F Univ, Coll Water Resources & Architecture Engn, Yangling 712100, Shaanxi, Peoples R China
2.Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China
3.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
4.Northwest Agr & Forestry Univ, Inst Water Saving Agr Arid Areas China, Yangling 712100, Shaanxi, Peoples R China
5.Qinghai Normal Univ, Acad Plateau Sci & Sustainabil, Xining 810016, Peoples R China
6.Tashkent Inst Irrigat & Agr Mech Engineers, Qoriy Niyoziy 39, Tashkent 100000, Uzbekistan
推荐引用方式
GB/T 7714
Ma, Qian,Li, Yi,Feng, Hao,et al. Performance evaluation and correction of precipitation data using the 20-year IMERG and TMPA precipitation products in diverse subregions of China[J]. ATMOSPHERIC RESEARCH,2021,249:16.
APA Ma, Qian.,Li, Yi.,Feng, Hao.,Yu, Qiang.,Zou, Yufeng.,...&Pulatov, Bakhtiyor.(2021).Performance evaluation and correction of precipitation data using the 20-year IMERG and TMPA precipitation products in diverse subregions of China.ATMOSPHERIC RESEARCH,249,16.
MLA Ma, Qian,et al."Performance evaluation and correction of precipitation data using the 20-year IMERG and TMPA precipitation products in diverse subregions of China".ATMOSPHERIC RESEARCH 249(2021):16.

入库方式: OAI收割

来源:地理科学与资源研究所

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