Reliability of Satellite Data in Capturing Spatiotemporal Changes of Precipitation Extremes in the Middle Reaches of the Yellow River Basin
文献类型：期刊论文
| 作者 | Yang, Qianxi1,2; Xie, Qiuyu2; Xu, Ximeng1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2025-09-26 |
| 卷号 | 17期号:19页码:3308 |
| 关键词 | GPM IMERG extreme precipitation sub-basins performance validation |
| DOI | 10.3390/rs17193308 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Highlights What are the main findings? GPM reliably reproduces the frequency, intensity, and cumulative amounts of extreme precipitation in the Middle Reaches of the Yellow River Basin (MRYRB). Frequency, intensity, and cumulative amounts of extreme precipitation increased from 2001 to 2022, with the He-Long reach experiencing an accelerating shift toward short-duration, high-intensity precipitation. What is the implication of the main finding? The study demonstrates that GPM reliably provides a continuous, full-coverage extreme precipitation observation in the MRYRB. The findings deliver actionable insights for extreme precipitation prevention and disaster risk reduction in the MRYRB, and inform policy under a changing climate.Highlights What are the main findings? GPM reliably reproduces the frequency, intensity, and cumulative amounts of extreme precipitation in the Middle Reaches of the Yellow River Basin (MRYRB). Frequency, intensity, and cumulative amounts of extreme precipitation increased from 2001 to 2022, with the He-Long reach experiencing an accelerating shift toward short-duration, high-intensity precipitation. What is the implication of the main finding? The study demonstrates that GPM reliably provides a continuous, full-coverage extreme precipitation observation in the MRYRB. The findings deliver actionable insights for extreme precipitation prevention and disaster risk reduction in the MRYRB, and inform policy under a changing climate.Abstract Extreme precipitation in the Middle Reaches of the Yellow River Basin (MRYRB) has increased significantly and unevenly, heightening the urgency for rapid and accurate monitoring of such extremes. Satellite precipitation data have proved effective in capturing precipitation extremes but have not been validated in the MRYRB. Thus, station-interpolated data were used to validate the reliability of satellite data (GPM IMERG) in characterizing spatiotemporal changes in nine extreme precipitation indices across the entire MRYRB and its ten sub-basins from 2001 to 2022. The results show that all frequency, intensity, and cumulative amount indices exhibit significantly increasing trends. Spatially, extreme precipitation exhibits a clear southeast-northwest gradient. The higher values occur in the southeastern sub-basins. Characterized by high-intensity, short-duration precipitation, the central sub-basins exhibit the lower values of extreme precipitation indices, yet have experienced the most rapid upward trends in those indices. The comparative analysis demonstrates that GPM reliably reproduces indices such as the number of days and amounts with precipitation above a threshold (R10, R20, R95p), maximum precipitation over five days (RX5day), and total precipitation (PRCPTOT) (with regression slopes close to 1, coefficient of determination R2 and Nash-Sutcliffe efficiency (NSE) greater than 0.7, and residual sum of squares ratio (RSR) less than 0.6, with negligible relative bias), particularly in the southern sub-basins. However, it tends to underestimate continuous wet days (CWD) and total precipitation when precipitation is over the 99th percentile (R99p). These findings advance current understanding of GPM applicability at watershed scales and offer actionable insight for water-sediment prediction under the world's changing climate. |
| URL标识 | 查看原文 |
| WOS关键词 | CLIMATE ; TRENDS ; DISCHARGE ; PRODUCTS ; RAINFALL ; EVENTS ; REGION ; IMPACT ; CHINA ; SOIL |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001593928400001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217537]  |
| 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 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yang, Qianxi,Xie, Qiuyu,Xu, Ximeng. Reliability of Satellite Data in Capturing Spatiotemporal Changes of Precipitation Extremes in the Middle Reaches of the Yellow River Basin[J]. REMOTE SENSING,2025,17(19):3308. |
| APA | Yang, Qianxi,Xie, Qiuyu,&Xu, Ximeng.(2025).Reliability of Satellite Data in Capturing Spatiotemporal Changes of Precipitation Extremes in the Middle Reaches of the Yellow River Basin.REMOTE SENSING,17(19),3308. |
| MLA | Yang, Qianxi,et al."Reliability of Satellite Data in Capturing Spatiotemporal Changes of Precipitation Extremes in the Middle Reaches of the Yellow River Basin".REMOTE SENSING 17.19(2025):3308. |
入库方式： OAI收割
来源：地理科学与资源研究所
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