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TPHiPr: a long-term (1979-2020) high-accuracy precipitation dataset (1/30 degrees, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations

文献类型：期刊论文

作者Jiang, Yaozhi; Yang, Kun5; Qi, Youcun6; Zhou, Xu5; He, Jie5; Lu, Hui; Li, Xin5; Chen, Yingying5; Li, Xiaodong1; Zhou, Bingrong4
刊名EARTH SYSTEM SCIENCE DATA
出版日期2023-02-08
卷号15期号:2页码:621-638
DOI10.5194/essd-15-621-2023
文献子类Article ; Data Paper
英文摘要Reliable precipitation data are highly necessary for geoscience research in the Third Pole (TP) region but still lacking, due to the complex terrain and high spatial variability of precipitation here. Accordingly, this study produces a long-term (1979-2020) high-resolution (1/30 degrees, daily) precipitation dataset (TPHiPr) for the TP by merging the atmospheric simulation-based ERA5_CNN with gauge observations from more than 9000 rain gauges, using the climatologically aided interpolation and random forest methods. Validation shows that TPHiPr is generally unbiased and has a root mean square error of 5.0 mm d(-1), a correlation of 0.76 and a critical success index of 0.61 with respect to 197 independent rain gauges in the TP, demonstrating that this dataset is remarkably better than the widely used datasets, including the latest generation of reanalysis (ERA5-Land), the state-of-the-art satellite-based dataset (IMERG) and the multi-source merging datasets (MSWEP v2 and AERA5-Asia). Moreover, TPHiPr can better detect precipitation extremes compared with these widely used datasets. Overall, this study provides a new precipitation dataset with high accuracy for the TP, which may have broad applications in meteorological, hydrological and ecological studies. The produced dataset can be accessed via https://doi.org/10.11888/Atmos.tpdc.272763 (Yang and Jiang, 2022).
WOS关键词TIBETAN PLATEAU ; GRIDDED PRECIPITATION ; GAUGE ; ASIA ; SATELLITE ; NETWORK ; CLIMATOLOGY ; PRODUCTS ; SYSTEM ; BASIN
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000931018100001
源URL[http://ir.igsnrr.ac.cn/handle/311030/200754]  
专题陆地水循环及地表过程院重点实验室_外文论文
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
2.China Meteorol Adm, Inst Desert Meteorol, Taklimakan Desert Meteorol Field Expt Stn, Urumqi, Peoples R China
3.Qinghai Inst Meteorol Sci, Qinghai Meteorol Bur, Xining, Peoples R China
4.Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu, Peoples R China
5.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Tibetan, Natl Tibetan Plateau Data Ctr, State Key Lab Tibetan Plateau Earth Syst Environm, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Jiang, Yaozhi,Yang, Kun,Qi, Youcun,et al. TPHiPr: a long-term (1979-2020) high-accuracy precipitation dataset (1/30 degrees, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations[J]. EARTH SYSTEM SCIENCE DATA,2023,15(2):621-638.
APA Jiang, Yaozhi.,Yang, Kun.,Qi, Youcun.,Zhou, Xu.,He, Jie.,...&Zhou, Jianhong.(2023).TPHiPr: a long-term (1979-2020) high-accuracy precipitation dataset (1/30 degrees, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations.EARTH SYSTEM SCIENCE DATA,15(2),621-638.
MLA Jiang, Yaozhi,et al."TPHiPr: a long-term (1979-2020) high-accuracy precipitation dataset (1/30 degrees, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations".EARTH SYSTEM SCIENCE DATA 15.2(2023):621-638.

入库方式： OAI收割

来源：地理科学与资源研究所

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