The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data
文献类型：期刊论文
| 作者 | Yang, Qianxi3,4; Xu, Ximeng3,4; Tang, Qiuhong3,4; Jia, Guoqiang1,2 |
| 刊名 | CATENA
 |
| 出版日期 | 2025-05-01 |
| 卷号 | 252页码:108831 |
| 关键词 | IMERG GPM Continental variation Seasonal change RUSLE2 |
| ISSN号 | 0341-8162 |
| DOI | 10.1016/j.catena.2025.108831 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | At present, station observation data are widely utilized for rainfall erosivity estimation while the spatiotemporal coverage of the data is limited. High-resolution satellite precipitation data offer the possibility of estimating rainfall erosivity with global coverage in a real time manner. A few studies have attempted to use satellite precipitation to derive rainfall erosivity and found that satellite data systematically underestimate rainfall erosivity compared to station observations. Thus, a Global Erosive Rainfall Database (GERD) was constructed using half-hourly satellite rainfall data from 2001 to 2020. Rainfall erosivity was calculated using the rainfall erosivity estimation method in RUSLE2 and bias corrected by a station-based annual average rainfall erosivity map. Then, the spatiotemporal variations of global rainfall erosivity and erosive rainfall event are revealed. The results showed that: (I) The 20-year average rainfall erosivity was 2,538.6 MJ mm ha-1 h- 1 yr- 1. The 20-year average number of erosive rainfall events was 67 events per annum. (II) There has been a discernible downward trend in the global rainfall erosivity anomaly from 2001 to 2020, with an average change rate of -22.09 MJ mm ha-1 h- 1 yr- 2, particularly pronounced in the Southern Hemisphere, where the decline rate reached -68.21 MJ mm ha-1 h- 1 yr- 2. In contrast, the number of erosive rainfall events has exhibited an upward trend during the same period. (III) Seasonal rainfall erosivity and number of erosive rainfall events during the period of June to August were obviously different from other seasons. On 34.1 % and 24.6 % of the global area, rainfall erosivity and number of erosive rainfall events in this period constituted more than half of the whole year. |
| URL标识 | 查看原文 |
| WOS关键词 | CHINA |
| WOS研究方向 | Geology ; Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001430903600001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213358]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Xu, Ximeng; Tang, Qiuhong |
| 作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing, Peoples R China 2.Int Res Ctr Big Data Sustainable Dev Goals, Beijing, Peoples R China; 3.Univ Chinese Acad Sci, Beijing, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yang, Qianxi,Xu, Ximeng,Tang, Qiuhong,et al. The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data[J]. CATENA,2025,252:108831. |
| APA | Yang, Qianxi,Xu, Ximeng,Tang, Qiuhong,&Jia, Guoqiang.(2025).The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data.CATENA,252,108831. |
| MLA | Yang, Qianxi,et al."The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data".CATENA 252(2025):108831. |
入库方式： OAI收割
来源：地理科学与资源研究所
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