EGU22-3144
https://doi.org/10.5194/egusphere-egu22-3144
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

IMERG Validation with the GPM Validation Network

Daniel Watters1, Patrick Gatlin2, Pierre Kirstetter3,4,5, George Huffman6, Jackson Tan6,7, Eric Nelkin6,8, David Bolvin6,8, David Wolff9, and Jianxin Wang6,8
Daniel Watters et al.
  • 1NASA Postdoctoral Program, NASA Marshall Space Flight Center, Huntsville, Alabama, United States of America
  • 2NASA Marshall Space Flight Center, Huntsville, Alabama, United States of America
  • 3Advanced Radar Research Center, University of Oklahoma, Norman, Oklahoma, United States of America
  • 4School of Civil Engineering and Environmental Sciences and School of Meteorology, University of Oklahoma, Norman, Oklahoma, United States of America
  • 5NOAA/National Severe Storms Laboratory, Norman, Oklahoma, United States of America
  • 6NASA Goddard Space Flight Center, Greenbelt, Maryland, United States of America
  • 7University of Maryland, Baltimore County, Baltimore, Maryland, United States of America
  • 8Science Systems and Applications, Inc., Lanham, Maryland, United States of America
  • 9NASA Wallops Flight Facility, Wallops Island, Virginia, United States of America

The Global Precipitation Measurement (GPM) Mission Validation Network (VN) is a NASA software system run at Marshall Space Flight Center which geometrically matches three-dimensional precipitation retrievals from the GPM Core Observatory (CO) sensors to 118 international ground-based radars.  To advance the capabilities for validation of the multi-satellite IMERG product, the GPM VN is being updated to integrate this Level-3 (gridded) product alongside GPM’s Level-2 (footprint) products (DPR, CORRA, GPROF).  The updated GPM VN will enable the potential for tracing the origins of systematic and random errors back through IMERG into the source GPROF product at instances of GPM-CO overpasses.  Furthermore, the GPM VN can support validation efforts to trace the origins of IMERG inaccuracies under a consistent framework across locations including North America (Eastern CONUS, Alaska, Hawaii), Brazil, and Pacific islands (e.g. Kwajalein).  This first study with the updated GPM VN will assess the oceanic performance of IMERG V06B across different island sites, as well as stratify errors using the vertical profile of reflectivity and hydrometeor classification corresponding to the IMERG grid pixel.  These results will help to inform improvements for future IMERG versions, as well as to aid the community in understanding the conditions under which IMERG can be aptly applied for research and societal applications.

How to cite: Watters, D., Gatlin, P., Kirstetter, P., Huffman, G., Tan, J., Nelkin, E., Bolvin, D., Wolff, D., and Wang, J.: IMERG Validation with the GPM Validation Network, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3144, https://doi.org/10.5194/egusphere-egu22-3144, 2022.

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