Team Location: Saint Louis University, Saint Louis, Missouri
Authors: Mallory Cato, Saint Louis University; Nicholas Elmer, Saint Louis University; Michelle Hogenmiller, Saint Louis University; Sarah Trojniak, Saint Louis University.
Advisors/Mentors: Dr. Emily Berndt, Saint Louis University; Dr. Michael Folmer, GOES-R Proving Ground, Greenbelt, Maryland; Dr. Timothy Eichler, Saint Louis University.
Abstract: Localized wind damage is one of the most difficult aspects of weather to forecast. Products derived from existing forecast models issued by NCEP/NOAA rarely provide the information necessary to issue high wind warnings with much confidence. GOES-R Proving Ground and NASA SPoRT were used to provide retrospective studies of three intense, mid-latitude cyclones which produced significant wind events to assess how GOES-R Air Mass imagery can be used in conjunction with NASA EOS satellite products to improve the ability to forecast these events. NASA Modern-Era Retrospective Analysis for Research and Applications (MERRA) data was used to verify synoptic scale features seen in the NASA satellite products. The goal of this study was to develop a forecast tool to be assimilated into a new set of operational products under development by the GOES-R Proving Ground.