Evaluating Precipitation Events Using GPM IMERG 30-Minute Near-Real-Time Precipitation Estimates

被引:1
|
作者
Sutton, Jessica R. P. [1 ,2 ]
Kirschbaum, Dalia [1 ]
Stanley, Thomas [1 ,2 ]
Orland, Elijah [1 ,2 ]
机构
[1] NASA, Earth Sci Div, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[2] Univ Maryland Baltimore Cty, GESTAR 2, Baltimore, MD 21250 USA
关键词
Precipitation; Gauges; Microwave observations; Remote sensing; PRODUCTS; HEIGHT; CMORPH; TMPA; TRMM;
D O I
10.1175/JHM-D-23-0141.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Accurately detecting and estimating precipitation at near - real time (NRT) is of utmost importance for the early detection and monitoring of hydrometeorological hazards. The precipitation product, Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG), provides NRT 0.1 degrees and 30-min precipitation estimates across the globe with only a 4-h latency. This study was an evaluation of the GPM IMERG version 6 level-3 early run 30-min precipitation product for precipitation events from 2014 through 2020. The purpose of this research was to identify when, where, and why GPM IMERG misidenti fi ed and failed to detect precipitation events in California, Nevada, Arizona, and Utah in the United States. Precipitation events were identi fi ed based on 15-min precipitation from gauges and 30-min precipitation from the IMERG multisatellite constellation. False-positive and false-negative precipitation events were identi fi ed and analyzed to determine their characteristics. Precipitation events identi fi ed by gauges had longer duration and had higher cumulative precipitation than those identi fi ed by GPM IMERG. GPM IMERG had many false event detections during the summer months, suggesting possible virga event detection, which is when precipitation falls from a cloud but evaporates before it reaches the ground. The frequency and timing of the merged passive microwave (PMW) product and forward propagation were responsible for IMERG overestimating cumulative precipitation during some precipitation events and underestimating others. This work can inform experts that are using the GPM IMERG NRT product to be mindful of situations where GPM IMERG - estimated precipitation events may not fully resolve the hydrometeorological conditions driving these hazards.
引用
收藏
页码:991 / 1006
页数:16
相关论文
共 50 条
  • [31] Assessment of Near-Real-Time Satellite Precipitation Products from GSMaP in Monitoring Rainfall Variations over Taiwan
    Huang, Wan-Ru
    Liu, Pin-Yi
    Hsu, Jie
    Li, Xiuzhen
    Deng, Liping
    REMOTE SENSING, 2021, 13 (02) : 1 - 17
  • [32] Flood Forecasting and Inundation Mapping Using HiResFlood-UCI and Near-Real-Time Satellite Precipitation Data: The 2008 Iowa Flood
    Phu Nguyen
    Thorstensen, Andrea
    Sorooshian, Soroosh
    Hsu, Kuolin
    AghaKouchak, Amir
    JOURNAL OF HYDROMETEOROLOGY, 2015, 16 (03) : 1171 - 1183
  • [33] Comprehensive Evaluation of Near-Real-Time Satellite-Based Precipitation: PDIR-Now over Saudi Arabia
    Alharbi, Raied Saad
    Dao, Vu
    Jimenez Arellano, Claudia
    Nguyen, Phu
    REMOTE SENSING, 2024, 16 (04)
  • [34] Evaluation of Seven Near-Real-Time Satellite-Based Precipitation Products for Wet Seasons in the Nierji Basin, China
    Dou, Yanhong
    Ye, Lei
    Zhang, Jiayan
    Zhang, Chi
    Zhou, Huicheng
    REMOTE SENSING, 2021, 13 (22)
  • [35] Machine Learning Approaches for Improving Near-Real-Time IMERG Rainfall Estimates by Integrating Cloud Properties from NOAA CDR PATMOS-x
    Zhang, Zhi
    Wang, Dagang
    Qiu, Jianxiu
    Zhu, Jinxin
    Wang, Tingli
    JOURNAL OF HYDROMETEOROLOGY, 2021, 22 (10) : 2767 - 2781
  • [36] Attention-Unet-Based Near-Real-Time Precipitation Estimation from Fengyun-4A Satellite Imageries
    Gao, Yanbo
    Guan, Jiping
    Zhang, Fuhan
    Wang, Xiaodong
    Long, Zhiyong
    REMOTE SENSING, 2022, 14 (12)
  • [37] Near-real-time drought monitoring and assessment for vineyard production on a regional scale with standard precipitation and vegetation indices using Landsat and CHIRPS datasets
    Arab, Sara Tokhi
    Ahamed, Tofael
    ASIA-PACIFIC JOURNAL OF REGIONAL SCIENCE, 2023, 7 (02) : 591 - 614
  • [38] Near-real-time drought monitoring and assessment for vineyard production on a regional scale with standard precipitation and vegetation indices using Landsat and CHIRPS datasets
    Sara Tokhi Arab
    Tofael Ahamed
    Asia-Pacific Journal of Regional Science, 2023, 7 : 591 - 614
  • [39] CNN-based near-real-time precipitation estimation from Fengyun-2 satellite over Xinjiang, China
    Xue, Mei
    Hang, Renlong
    Liu, Qingshan
    Yuan, Xiao-Tong
    Lu, Xinyu
    ATMOSPHERIC RESEARCH, 2021, 250
  • [40] Comprehensive assessment of five near-real-time satellite precipitation products in the Lower Yangtze River Basin and the Lixiahe region, China: Dual perspectives from time series and extreme events
    Li, Wanxue
    Kang, Yan
    Li, Lingjie
    Gao, Rui
    Shu, Zhan
    Song, Songbai
    ATMOSPHERIC RESEARCH, 2024, 308