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GV-MRMS Data Inventory

The Multi-Radar Multi-Sensor (MRMS) system, developed by the National Severe Storms Laboratory (NSSL), integrates observations from ground-based radars and rain gauges across the contiguous United States (CONUS) and southern Canada (Zhang et al., 2016).

The GV-MRMS products are derived from MRMS with additional postprocessing to support the Global Precipitation Measurement Ground Validation (GPM GV) program (Kirstetter et al., 2012). Processing includes gauge calibration, spatial and temporal resampling, and quality control. The final products are provided at 0.01° spatial resolution and 30-minute temporal resolution.

• Level-2 Data (Overpasses)

        Data coverage periods (updated April 22, 2026):
        
        Satellite   Start     End
        --------------------------------
        GPM         2014/03   2023/12
        F16         2014/03   2023/12
        F17         2014/03   2024/10
        F18         2014/03   2024/10
        F19         2014/12   2022/03
        GCOMW1      2014/03   2024/10
        METOPA      2014/03   2020/11
        METOPB      2014/04   2024/10
        NOAA18      2014/03   2019/02
        NOAA19      2014/03   2024/10
        NPP         2014/05   2024/10
        TRMM        2013/03   2015/04
        --------------------------------
        Note:
        - TRMM also includes data for June 2012.
        - No new data have been processed since April 21, 2026.
        

Level-2 GV-MRMS Data Inventory
F16F17F18F19GCOMW1GPMMETOPAMETOPBNOAA18NOAA19NPPTRMM 1HCFMASKPRECIPRATERQI 20142015201620172018201920202021202220232024
• Level-3 Data

Hourly: June 2012; February 1, 2013 – June 6, 2016
Half-hourly: from June 1, 2014 onward

Level-3 half-hourly GV-MRMS Data Inventory
1HCF GCP GII RQI TYPE00 TYPE01 TYPE02 TYPE03 TYPE04 TYPE06 TYPE07 TYPE10 TYPE91 TYPE96 TYPEM 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
• Tile-8 Data

December 10, 2010 – December 31, 2015

These products are open to Precipitation Measurement Missions (PMM) science team members upon request. We acknowledge DR. Pierre-Emmanuel Kirstetter (University of Oklahoma and NSSL/NOAA) for providing these datasets.

• To request GV-MRMS (NMQ) data, please contact:
  jianxin.wang@nasa.gov
  david.b.wolff@nasa.gov
• Download Documentation (provided by Dr. Kirstetter)

Zhang, J., et al., 2016: Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimation: Initial operating capabilities. Bull. Amer. Meteor. Soc., 97, 621–638. https://doi.org/10.1175/BAMS-D-14-00174.1

Kirstetter, P.-E., et al., 2012: Toward a framework for systematic error modeling of spaceborne precipitation radar with NOAA/NSSL ground radar–based national mosaic QPE. J. Hydrometeor., 13, 1285–1300. https://doi.org/10.1175/JHM-D-11-0139.1

Wang, J., et al., 2025: Understanding overland satellite-based precipitation errors in IMERG products as a function of input sources. J. Hydrometeor. https://doi.org/10.1175/JHM-D-25-0047.1

Wang, J., et al., 2021: Validation of satellite-based precipitation products from TRMM to GPM. Remote Sens., 13, 1745. https://doi.org/10.3390/rs13091745