Assimilation of GOES-16 satellite derived winds into the warn-on-forecast system.

Details

• Journal Title:
  Atmospheric Research
• Personal Author:
  Mallick, Swapan ; Jones, Thomas A.
• NOAA Program & Office:
  CIMMS (Cooperative Institute for Mesoscale Meteorological Studies) ; OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory)
• Description:
  The Advanced Baseline Imager (ABI) onboard the GOES-R series of geostationary satellites provides an opportunity to generate high-resolution satellite derived wind vectors over continental United States not possible from previous satellites. This study investigates the quality and the impact of assimilating satellite-derived winds (or Atmospheric Motion Vectors, AMVs) from the GOES-16 geostationary satellite on high-impact weather forecasts using the NOAA's ensemble based Warn-on-Forecast System (WoFS). The WoFS runs at convection allowing scales (~3 km) with a 15-min cycling frequency assimilating all available observations including conventional, radar and GOES-16 cloud water path retrievals over a limited area domain. Four severe weather events during 2018 are considered in this study to assess the potential impacts of assimilating GOES-16 AMVs into the WoFS. A total of eight experiments performed, four that assimilate AMV data and the remaining four do not with all including conventional, radar, and other satellite data. This research represents the first step to assimilated high-resolution satellite derived winds into the convective-allowing ensemble data assimilation system. The results show that the overall impact of assimilation of AMVs is small, but positive for probabilistic forecasts of reflectivity objects.
• Keywords:
  Atmospheric Motion Vectors Data Assimilation GOES-R Numerical Weather Prediction Warn-on-Forecast
• Source:
  Atmospheric Research, 245: 105131
• DOI:
  https://doi.org/10.1016/j.atmosres.2020.105131
• Document Type:
  Journal Article
• Rights Information:
  Accepted Manuscript
• Rights Statement:
  The NOAA IR provides access to this content under the authority of the government's retained license to distribute publications and data resulting from federal funding. While users may legally access this content, the copyright owners retain rights that govern the reproduction, redistribution, and re-use of this work. The user is solely responsible for complying with applicable copyright law.
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:a247805b55f44e5042b29d69a73621fea17c2070e613547678b1467deb5e4c423014a78cfa0712566df5924570a0af93f5eae8607ca090f87f011dcf8ab69afb
• Download URL:
  https://repository.library.noaa.gov/view/noaa/31852/noaa_31852_DS1.pdf
• File Type:
  [PDF - 13.44 MB ]