A New Perspective for Charactering the Spatio-temporal Patterns of the Error in GPM IMERG Over Mainland China
文献类型：期刊论文
| 作者 | Zhu, Siyu1; Shen, Yan2; Ma, Ziqiang1,3,4 |
| 刊名 | EARTH AND SPACE SCIENCE
 |
| 出版日期 | 2021 |
| 卷号 | 8期号:1页码:16 |
| 关键词 | distance from seashore elevation error patterns IMERG latitude precipitation quantitative cluster analysis |
| DOI | 10.1029/2020EA001232 |
| 通讯作者 | Ma, Ziqiang(ziqma@pku.edu.cn) |
| 英文摘要 | Evaluation is necessary and informative for processing and applying the precipitation products. However, researchers mainly focus on the statistical indicators of satellite-based precipitation evaluation over manually determined regions without further considering the geographical information. To reveal the potential connections between geographical features and the error patterns of satellite precipitation estimates, this study focuses on proposing a new perspective for charactering the spatiotemporal patterns of errors in the Integrated Multi-satellitE Retrievals for global precipitation measurement (GPM; IMERG) based on China Merged Precipitation Analysis over mainland China in the period from 2012 to 2018. We applied a quantitative cluster analysis method to analyze the characteristics of the errors in GPM IMERG based on three geographical features including elevation (Ele), latitude (Lat), and the distance from seashore (DFS). Additionally, the analysis was conducted in both warm and cold seasons to capture the temporal error patterns in IMERG. The results show that: (1) IMERG has the ability to capture spatiotemporal precipitation patterns over mainland China, with relative overestimations mainly over southeastern region; (2) geographical features (Ele, Lat, and DFS) have strong linear relationships with the statistical error indexes (e.g., correlation coefficient) of IMERG; and (3) the spatial patterns of errors in IMERG were automatically determined and demonstrated significant geographical characteristics. Finally, results of this study would provide valuable references for improving the quality of the IMERG over land. Plain Language Summary Precipitation is one of most important components of water cycle and the Integrated Multi-satellitE Retrievals for GPM (IMERG) is the main current satellite-based global precipitation product by National Aeronautics and Space Administration. This study focuses on proposing a new perspective for charactering the spatiotemporal patterns of errors in GPM IMERG over mainland China. Results of this study would provide great potentials for improving the quality of the IMERG over the global land areas. |
| WOS关键词 | PRECIPITATION PRODUCTS ; DAY-1 IMERG ; TMPA ; TRMM ; RETRIEVALS ; ALGORITHM ; MICROWAVE ; SUMMER |
| 资助项目 | Key R&D Program of Ministry of Science and Technology, China[2018YFC1506500] ; National Natural Science Foundation of China[41901343] ; Open Fund of the State Key Laboratory of Remote Sensing Science, China[OFSLRSS201909] ; State Key Laboratory of Resources and Environmental Information System, China ; Research and development of real-time monitoring of water quality of large areas based on remote sensing technology[20190365] ; Guizhou Provincial Science and Technology Plan Project[[2020] 1Y155] |
| WOS研究方向 | Astronomy & Astrophysics ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000613334500012 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | Key R&D Program of Ministry of Science and Technology, China ; National Natural Science Foundation of China ; Open Fund of the State Key Laboratory of Remote Sensing Science, China ; State Key Laboratory of Resources and Environmental Information System, China ; Research and development of real-time monitoring of water quality of large areas based on remote sensing technology ; Guizhou Provincial Science and Technology Plan Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136179]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ma, Ziqiang |
| 作者单位 | 1.Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & Geog Informat Syst, Beijing, Peoples R China 2.China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 4.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Aerosp Informat Res Inst, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Siyu,Shen, Yan,Ma, Ziqiang. A New Perspective for Charactering the Spatio-temporal Patterns of the Error in GPM IMERG Over Mainland China[J]. EARTH AND SPACE SCIENCE,2021,8(1):16. |
| APA | Zhu, Siyu,Shen, Yan,&Ma, Ziqiang.(2021).A New Perspective for Charactering the Spatio-temporal Patterns of the Error in GPM IMERG Over Mainland China.EARTH AND SPACE SCIENCE,8(1),16. |
| MLA | Zhu, Siyu,et al."A New Perspective for Charactering the Spatio-temporal Patterns of the Error in GPM IMERG Over Mainland China".EARTH AND SPACE SCIENCE 8.1(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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