Comprehensive Evaluation of Global Precipitation Products and Their Accuracy in Drought Detection in Mainland China

被引:2
|
作者
Zhang, Huihui [1 ,3 ]
Loaiciga, Hugo A. [2 ]
Du, Qingyun [3 ]
Sauter, Tobias [1 ]
机构
[1] Humboldt Univ, Geog Dept, Berlin, Germany
[2] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA USA
[3] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China
关键词
Precipitation; Drought; Satellite observations; Reanalysis data; SPATIAL EVALUATION; CLIMATE-CHANGE; PERFORMANCE; REANALYSIS; IMERG; MODEL; TMPA; MULTISATELLITE; INDEX; ERA5;
D O I
10.1175/JHM-D-22-0233.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Thorough evaluations of satellite precipitation products are necessary for accurately detecting meteorologi-cal drought. A comprehensive assessment of 15 state-of-the-art precipitation products (i.e., IMERG_cal, IMERG_uncal, GSMaP-G, CPC-Global, TRMM3B42, CMORPH-CRT, PERSIANN-CDR, PERSIANN, PERSIANN-CCS, SM2RAIN, CHIRPS, ERA5, ERA-Interim, MERRA-2, and GLDAS) is herein conducted for the period 2010-19 giving special atten-tion to their performance in detecting meteorological drought over mainland China at 0.25 degrees spatial resolution. The cited precipitation products are compared against China's gridded gauge-based Daily Precipitation Analysis (CGDPA) product, derived from 2400 meteorological stations, and their quality is assessed at daily, seasonal, and annual precipitation time scales. Meteorological droughts in the datasets are determined by calculating the standardized precipitation evapotranspi-ration index (SPEI). The performance of the precipitation products for drought detection with respect to the SPEI is as-sessed at three time scales (1, 3, and 12 months). The results show that the GSMaP-G outperforms other satellite-based datasets in drought detection and precipitation estimation. The MERRA-2 and the ERA5 are on average closer to the CGDPA reference data than other reanalysis products for precipitation estimation and drought detection. These products capture well the spatial and temporal pattern of the SPEI in southern and eastern China having a probability of detection (POD) above 0.6 and a correlation coefficient (CC) above 0.65. CPC-Global, IMERG, and the ERA5 reanalysis product are ideal candidates for application in western China, especially in the Qinghai-Tibetan Plateau and the Xinjiang Province. Generally, the accuracy of precipitation products for drought detection is improved with longer time scales of the SPEI (i.e., SPEI-12). This study contributes to drought-hazard detection and hydrometeorological applications of satellite precip-itation products.SIGNIFICANCE STATEMENT: The purpose of this study is to comprehensively evaluate the quality of 15 global satellite-based, gauge-based, and reanalysis precipitation products for meteorological drought detection at 1-, 3-, and 12-month time scales. This work systematically evaluates these products' capacity to capture precipitation occurrence and intensity in different seasons. This is followed by a comparison of the precipitation products' performance in drought detection. This work's findings and evaluation results will improve the ability of those who develop precipita-tion products in identifying error sources and further improving retrieval algorithms. This paper's results will serve as a valuable reference for end users seeking to better understand the application of precipitation products to drought detection.
引用
收藏
页码:1907 / 1937
页数:31
相关论文
共 50 条
  • [21] Evaluation and Application of Quantitative Precipitation Forecast Products for Mainland China Based on TIGGE Multimodel Data
    Shu, Zhangkang
    Zhang, Jianyun
    Jin, Junliang
    Wang, Lin
    Wang, Guoqing
    Wang, Jie
    Sun, Zhouliang
    Liu, Ji
    Liu, Yanli
    He, Ruimin
    Liu, Cuishan
    Bao, Zhenxin
    JOURNAL OF HYDROMETEOROLOGY, 2021, 22 (05) : 1199 - 1219
  • [22] Comprehensive Evaluation of Two Successive V3 and V4 IMERG Final Run Precipitation Products over Mainland China
    Zhao, Haigen
    Yang, Shengtian
    You, Songcai
    Huang, Yingchun
    Wang, Qianfeng
    Zhou, Qiuwen
    REMOTE SENSING, 2018, 10 (01)
  • [23] Evaluation and comparison of three long-term gauge-based precipitation products for drought monitoring over mainland China from 1961 to 2016
    Linyong Wei
    Shanhu Jiang
    Liliang Ren
    Natural Hazards, 2020, 104 : 1371 - 1387
  • [24] Evaluation and comparison of three long-term gauge-based precipitation products for drought monitoring over mainland China from 1961 to 2016
    Wei, Linyong
    Jiang, Shanhu
    Ren, Liliang
    NATURAL HAZARDS, 2020, 104 (02) : 1371 - 1387
  • [25] Evaluation of Six Satellite Precipitation Products over the Chinese Mainland
    Liu, Zhenwei
    Di, Zhenhua
    Qin, Peihua
    Zhang, Shenglei
    Ma, Qian
    REMOTE SENSING, 2022, 14 (24)
  • [26] Evaluation of IMERG and TRMM 3B43 Monthly Precipitation Products over Mainland China
    Chen, Fengrui
    Li, Xi
    REMOTE SENSING, 2016, 8 (06)
  • [27] Evaluation and Statistical Post-Processing of Two Precipitation Reforecast Products During Summer in the Mainland of China
    Li, Wentao
    Duan, Qingyun
    Wang, Quan J.
    Huang, Sainan
    Liu, Shiyuan
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2022, 127 (12)
  • [28] Evaluation of multi-satellite precipitation products in estimating precipitation extremes over mainland China at annual, seasonal and monthly scales
    Zhang, Yuefen
    Wu, Chuanhao
    Yeh, Pat J. -F.
    Li, Jianzhu
    Hu, Bill X.
    Feng, Ping
    Lei, Yong
    ATMOSPHERIC RESEARCH, 2022, 279
  • [29] Comprehensive applicability evaluation of four precipitation products at multiple spatiotemporal scales in Northwest China
    WANG Xiangyu
    XU Min
    KANG Shichang
    LI Xuemei
    HAN Haidong
    LI Xingdong
    JournalofAridLand, 2024, 16 (09) : 1232 - 1254
  • [30] Comprehensive applicability evaluation of four precipitation products at multiple spatiotemporal scales in Northwest China
    Wang, Xiangyu
    Xu, Min
    Kang, Shichang
    Li, Xuemei
    Han, Haidong
    Li, Xingdong
    JOURNAL OF ARID LAND, 2024, 16 (09) : 1232 - 1254