Evaluation of IMERG Precipitation Products in the Southeast Costal Urban Region of China
文献类型：期刊论文
| 作者 | Lu, Ning1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-10-01 |
| 卷号 | 14期号:19页码:22 |
| 关键词 | precipitation evaluation high-density gauge IMERG coastal urban |
| DOI | 10.3390/rs14194947 |
| 通讯作者 | Lu, Ning(lvn@lreis.ac.cn) |
| 英文摘要 | The intensification of extreme precipitation has aggravated urban flood disasters, which makes timely and reliable precipitation information urgently needed. As the high-quality and widely used satellite precipitation products, Integrated Multi-satellitE Retrievals for GPM (IMERG), have not been well investigated in coastal urban agglomerations where damages from precipitation-related disasters are more severe. With precipitation measurements from local high-density gauge stations, this study evaluates three IMERG runs (IMERG ER, IMERG LR, and IMERG FR) in the southeast coastal urban region of China. The evaluation shows that the three IMERG products severely overestimate weak precipitation and underestimate heavy precipitation. Among the three runs, the post-corrected IMERG FR does not show a substantial improvement compared to the near-real-time IMERG ER and IMERG LR. The performance of IMERG varies depending on the precipitation pattern and intensity, with the best estimation ability occurring in the coastal urban region in summer and in the northern forests in winter. Due to the year-round urban effect on precipitation variability, IMERG cannot detect precipitation events well in the central high-density urban areas, and has its best detection ability on cultivated lands in summer and forests in winter. Within the urban agglomeration, IMERG shows a poorer performance in areas with higher urbanization levels. Thus, the IMERG products for coastal urban areas need considerable improvements, such as regionalized segmental corrections based on precipitation intensity and the adjustment of short-duration estimates by daily or sub-daily precipitation measurements. |
| WOS关键词 | INTEGRATED MULTISATELLITE RETRIEVALS ; GPM SATELLITE PRECIPITATION ; HIGH-RESOLUTION SATELLITE ; GLOBAL PRECIPITATION ; PROFILING ALGORITHM ; RAINFALL ESTIMATION ; PASSIVE MICROWAVE ; ANALYSIS TMPA ; TRMM 3B42 ; PERFORMANCE |
| 资助项目 | National Natural Science Foundation of China[41971312] ; National Natural Science Foundation of China[41890854] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000867055700001 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/185494]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Lu, Ning |
| 作者单位 | 1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Ning. Evaluation of IMERG Precipitation Products in the Southeast Costal Urban Region of China[J]. REMOTE SENSING,2022,14(19):22. |
| APA | Lu, Ning.(2022).Evaluation of IMERG Precipitation Products in the Southeast Costal Urban Region of China.REMOTE SENSING,14(19),22. |
| MLA | Lu, Ning."Evaluation of IMERG Precipitation Products in the Southeast Costal Urban Region of China".REMOTE SENSING 14.19(2022):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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