中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Characterizing Short-Duration Rainfall Events on the Tibetan Plateau Based on Ground Observation, Satellite Remote Sensing, and Reanalysis Data

文献类型:期刊论文

作者Ling, Xiaoyan5; Chen, Yingying5; Yang, Kun6; Han, Run5,7; Zhou, Xu5; Li, Xin5; Zhan, Changhui3; Jiang, Yaozhi4; Tian, Jiaxin1; Wang, Yan2
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
出版日期2026
卷号19页码:5680-5694
关键词Rain Continuous wavelet transforms Satellites Remote sensing Earth Rivers Laboratories Data centers Solids Quality control Gridded datasets ground observation data rainfall duration spatial characteristics Tibetan Plateau (TP)
ISSN号1939-1404
DOI10.1109/JSTARS.2026.3656905
产权排序7
文献子类Article
英文摘要Given the vast expanses of bare soil and sparse grassland in the central and western Tibetan Plateau (CWTP), the duration of precipitation serves as a critical control on key hydrological and geomorphological responses, such as runoff generation, soil erosion, and sediment transport. This study analyzes the spatial distribution of precipitation events with different durations (short-duration, medium-duration, and long-duration) across the Tibetan Plateau (TP). To explore the differences in precipitation duration between the central-western and eastern TP, we utilize hourly precipitation data from a newly established cross-sectional rainfall observation network (53 gauges) on the CWTP and the China Meteorological Administration observation (145 gauges) on the eastern TP for comparison. The main conclusions are as follows: First, short-duration (1-3 h) precipitation events contribute more than 50% of the total rainfall in the CWTP. In contrast, short-duration events contribute less than 30% in the eastern TP, where medium- and long-duration precipitation events dominate. Second, the reanalysis data ECMWF reanalysis 5 and the high-resolution atmospheric simulation data high asia refined analysis version 2 tend to systematically underestimate (overestimate) the contribution of short-duration (long-duration) precipitation events. Specifically, they exhibit mean biases of 23% and 19% for short-duration precipitation, and 34% and 20% for long-duration precipitation, respectively. Third, the satellite remote sensing precipitation data integrated multisatellite retrievals perform well in estimating the contribution of precipitation events, with biases mostly within 30% . By comparing the original and gauge-calibrated satellite datasets, the results show that calibration with coarse temporal resolutions (daily or monthly) does not necessarily improve the identification of short-duration precipitation events. Our results not only enhance the understanding of precipitation characteristics and processes over the TP, but also provide valuable guidance for hydrological modeling and the evaluation and improvement of satellite-based precipitation data.
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WOS关键词PRECIPITATION PRODUCTS ; SIMULATION ; GPM
WOS研究方向Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001687355500005
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.igsnrr.ac.cn/handle/311030/220927]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Chen, Yingying
作者单位1.CMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China;
2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Yellow River Conservancy Commiss, Yellow River Henan Bur, Zhengzhou 450001, Peoples R China;
4.Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Peoples R China;
5.Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Resource, Natl Tibetan Plateau Data Ctr, Beijing 100101, Peoples R China;
6.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China;
7.Univ Chinese Acad Sci, Beijing 100101, Peoples R China; Xizang Univ, Sch Ecol & Environm, Minist Educ, Key Lab Biodivers & Environm Qinghai Tibet Plateau, Lhasa 850001, Peoples R China;
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Ling, Xiaoyan,Chen, Yingying,Yang, Kun,et al. Characterizing Short-Duration Rainfall Events on the Tibetan Plateau Based on Ground Observation, Satellite Remote Sensing, and Reanalysis Data[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2026,19:5680-5694.
APA Ling, Xiaoyan.,Chen, Yingying.,Yang, Kun.,Han, Run.,Zhou, Xu.,...&Chen, Ming.(2026).Characterizing Short-Duration Rainfall Events on the Tibetan Plateau Based on Ground Observation, Satellite Remote Sensing, and Reanalysis Data.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,19,5680-5694.
MLA Ling, Xiaoyan,et al."Characterizing Short-Duration Rainfall Events on the Tibetan Plateau Based on Ground Observation, Satellite Remote Sensing, and Reanalysis Data".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 19(2026):5680-5694.

入库方式: OAI收割

来源:地理科学与资源研究所

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