A Comprehensive Evaluation of Latest GPM IMERG V06 Early, Late and Final Precipitation Products across China

被引:35
|
作者
Yu, Linfei [1 ,2 ]
Leng, Guoyong [1 ,2 ]
Python, Andre [3 ]
Peng, Jian [4 ,5 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100011, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 101400, Peoples R China
[3] Univ Oxford, Big Data Inst, Oxford OX3 7LF, England
[4] UFZ Helmholtz Ctr Environm Res, Dept Remote Sensing, Permoserstr 15, D-04318 Leipzig, Germany
[5] Univ Leipzig, Remote Sensing Ctr Earth Syst Res, D-04109 Leipzig, Germany
基金
中国国家自然科学基金;
关键词
satellite precipitation products; IMERG; accuracy evaluation; rain gauge; China; INTEGRATED MULTISATELLITE RETRIEVALS; EXTREME PRECIPITATION; PERFORMANCE; RAINFALL; TRMM; VALIDATION; TMPA; DATASET; CHIRPS; ERROR;
D O I
10.3390/rs13061208
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study evaluated the performance of the early, late and final runs of IMERG version 06 precipitation products at various spatial and temporal scales in China from 2008 to 2017, against observations from 696 rain gauges. The results suggest that the three IMERG products can well reproduce the spatial patterns of precipitation, but exhibit a gradual decrease in the accuracy from the southeast to the northwest of China. Overall, the three runs show better performances in the eastern humid basins than the western arid basins. Compared to the early and late runs, the final run shows an improvement in the performance of precipitation estimation in terms of correlation coefficient, Kling-Gupta Efficiency and root mean square error at both daily and monthly scales. The three runs show similar daily precipitation detection capability over China. The biases of the three runs show a significantly positive (p < 0.01) correlation with elevation, with higher accuracy observed with an increase in elevation. However, the categorical metrics exhibit low levels of dependency on elevation, except for the probability of detection. Over China and major river basins, the three products underestimate the frequency of no/tiny rain events (P < 0.1 mm/day) but overestimate the frequency of light rain events (0.1 <= P < 10 mm/day). The three products converge with ground-based observation with regard to the frequency of rainstorm (P >= 50 mm/day) in the southern part of China. The revealed uncertainties associated with the IMERG products suggests that sustaining efforts are needed to improve their retrieval algorithms in the future.
引用
收藏
页数:22
相关论文
共 48 条
  • [1] Evaluation of the GPM IMERG V06 products for light rain over Mainland China
    Li, Xiaoying
    Sungmin, O.
    Wang, Na
    Liu, Lichen
    Huang, Yinzhou
    [J]. ATMOSPHERIC RESEARCH, 2021, 253
  • [2] Evaluation of the GPM-IMERG V06 Final Run Products for Monthly/Annual Precipitation under the Complex Climatic and Topographic Conditions of China
    Zhang, Ying
    Zheng, Xiao
    LI, Xiufen
    Lyu, Jiaxin
    Zhao, Lanlin
    [J]. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2023, 62 (08) : 929 - 946
  • [3] A comprehensive evaluation of GPM-IMERG V06 and MRMS with hourly ground-based precipitation observations across Canada
    Moazami, S.
    Najafi, M. R.
    [J]. JOURNAL OF HYDROLOGY, 2021, 594
  • [4] Validation of GPM IMERG V05 and V06 Precipitation Products over Iran
    Hosseini-Moghari, Seyed-Mohammad
    Tang, Qiuhong
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2020, 21 (05) : 1011 - 1037
  • [5] Comprehensive evaluation of latest GPM era IMERG and GSMaP precipitation products over mainland China
    Zhou, Ziteng
    Guo, Bin
    Xing, Wenxue
    Zhou, Jian
    Xu, Fenglin
    Xu, Ying
    [J]. ATMOSPHERIC RESEARCH, 2020, 246
  • [6] Systematic assessment of GPM IMERG V06 precipitation products with dense rain gauge observations over Zhejiang Province, China
    Bi, Zaoying
    Sun, Shanlei
    Shen, Huayu
    Liu, Yi
    Ren, Yongjian
    Li, Jinjian
    Lin, Bin
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2022, 42 (16) : 9471 - 9493
  • [7] SPATIAL DOWNSCALING OF GPM IMERG V06 GRIDDED PRECIPITATION USING MACHINE LEARNING ALGORITHMS
    Sathianarayanan, Manikandan
    Hsu, Pai-Hui
    [J]. GEOINFORMATION WEEK 2022, VOL. 48-4, 2023, : 327 - 332
  • [8] Comparison of GPM IMERG Version 06 Final Run Products and Its Latest Version 07 Precipitation Products across Scales: Similarities, Differences and Improvements
    Wang, Yaji
    Li, Zhi
    Gao, Lei
    Zhong, Yong
    Peng, Xinhua
    [J]. REMOTE SENSING, 2023, 15 (23)
  • [9] Assessment of IMERG v06 Satellite Precipitation Products in the Canadian Great Lakes Region
    Zhao, B. O.
    Hudak, D.
    Rodriguez, P.
    Mekis, E.
    Brunet, D.
    Eckert, E.
    Melo, S.
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2023, 24 (06) : 1017 - 1037
  • [10] Comparative analysis of bias correction methods for IMERG V06 precipitation products: case study in Guangxi, China
    Yang, Meiqing
    Ni, Qian
    Diao, Xiang
    Xiong, Qiang
    [J]. REMOTE SENSING LETTERS, 2024, 15 (03) : 192 - 202