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

被引:40
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
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共 47 条
[31]   Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria [J].
Sungmin, O. ;
Foelsche, Ulrich ;
Kirchengast, Gottfried ;
Fuchsberger, Juergen ;
Tan, Jackson ;
Petersen, Walter A. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2017, 21 (12) :6559-6572
[32]   Multiscale Comparative Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products from 2015 to 2017 over a Climate Transition Area of China [J].
Chen, Cheng ;
Chen, Qiuwen ;
Duan, Zheng ;
Zhang, Jianyun ;
Mo, Kangle ;
Li, Zhe ;
Tang, Guoqiang .
REMOTE SENSING, 2018, 10 (06)
[33]   Evaluation of GPM IMERG Early, Late, and Final Run in Representing Extreme Rainfall Indices in Southwestern Iran [J].
Keikhosravi-Kiany, Mohammad Sadegh ;
Balling Jr, Robert C. .
REMOTE SENSING, 2024, 16 (15)
[34]   Global intercomparison and regional evaluation of GPM IMERG Version-03, Version-04 and its latest Version-05 precipitation products: Similarity, difference and improvements [J].
Wang, Cunguang ;
Tang, Guoqiang ;
Han, Zhongying ;
Guo, Xiaolin ;
Hong, Yang .
JOURNAL OF HYDROLOGY, 2018, 564 :342-356
[35]   Error Analysis and Evaluation of the Latest GSMap and IMERG Precipitation Products over Eastern China [J].
Ning, Shaowei ;
Song, Fan ;
Udmale, Parmeshwar ;
Jin, Juliang ;
Thapa, Bhesh Raj ;
Ishidaira, Hiroshi .
ADVANCES IN METEOROLOGY, 2017, 2017
[36]   IMERG V07B and V06B: A Comparative Study of Precipitation Estimates Across South America with a Detailed Evaluation of Brazilian Rainfall Patterns [J].
Rozante, Jose Roberto ;
Rozante, Gabriela .
REMOTE SENSING, 2024, 16 (24)
[37]   Statistical evaluation of the latest GPM-Era IMERG and GSMaP satellite precipitation products in the Yellow River source region [J].
Shi J. ;
Yuan F. ;
Shi C. ;
Zhao C. ;
Zhang L. ;
Ren L. ;
Zhu Y. ;
Jiang S. ;
Liu Y. .
Water (Switzerland), 2020, 12 (04)
[38]   Evaluation of TMPA 3B42V7, GPM IMERG and CMPA precipitation estimates in Guangdong Province, China [J].
Wang, Dashan ;
Wang, Xianwei ;
Liu, Lin ;
Wang, Dagang ;
Huang, Huabing ;
Pan, Cuilin .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (02) :738-755
[39]   Evaluation and Correction of GPM IMERG Precipitation Products over the Capital Circle in Northeast China at Multiple Spatiotemporal Scales [J].
Sun, Wei ;
Sun, Yonghua ;
Li, Xiaojuan ;
Wang, Tao ;
Wang, Yanbing ;
Qiu, Qi ;
Deng, Zhitian .
ADVANCES IN METEOROLOGY, 2018, 2018
[40]   Comparison of Two Products of Satellite Precipitation (TRMM_3B42 v7-3-Hourly-Research Grade) and GPM-IMERG (V06-Half-Hourly-Early) in the East of Lake Urmia, Iran [J].
Mahdavi, Taghi .
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2023, 51 (01) :43-60