Spring Forecasting Experiment 2022: Preliminary Findings and Results

Details

• Alternative Title:
  Spring Forecasting Experiment 2022 conducted by the Experimental Forecast Program of the NOAA Hazardous Weather Testbed virtual experiment 2 May – 3 June 2022: preliminary findings and results
• Personal Author:
  Clark, Adam ; Jirak, Israel ; Gallo, Burkely T. ; Roberts, Brett ; Knopfmeier, Kent ; Vancil, Jake ; Jahn, David ; Krocak, Makenzie ; Karstens, Chris ; Loken, Eric ; Dahl, Nathan ; Harrison, David ; Imy, David ; Wade, Andy ; Milne, Jeffrey ; Hoogewind, Kimberly ; Flora, Montgomery ; Martin, Joshua ; Matilla, Brian ; Picca, Joey ; Potvin, Corey ; Skinner, Patrick ; Burke, Patrick
• Corporate Authors:
  National Severe Storms Laboratory. ; Storm Prediction Center (U.S.) ; Cooperative Institute for Severe and High-Impact Weather Research and Operations. ; University of Oklahoma. School of Meteorology. ; University of Oklahoma. Institute for Public Policy Research and Analysis.
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction) ; SPC (Storm Prediction Center) ; CIWRO (Cooperative Institute for Severe and High-Impact Weather Research and Operations)
• Description:
  The wealth of severe weather forecasting and research expertise at the National Weather Center, combined with state-of-the-art visualization tools, well-designed experiments, and valuable collaborations have made the annual SFEs one of the most productive and well-respected weather forecasting experiments in the world. SFE 2022 forecasting activities emphasized using experimental calibrated and machine learning (ML)-based products, with two data denial experiments withholding this guidance from control groups.
• Keywords:
  Experiments Meteorology Numerical Weather Forecasting Research Severe Storms Spring Numerical Weather Forecasting Severe Storms
• DOI:
  https://doi.org/10.25923/r70a-aw71
• Format:
  pdf
• Document Type:
  Non-series Report
• License:
  https://creativecommons.org/publicdomain/zero/1.0/
• Rights Information:
  CC0 Public Domain
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:265add5e46d92d3aa6a5778f9c600631836702ad016e076a3ecc5c9e59e85f9067827e21ba9e0404c7bbaa201df057ae7ec61ba1df6790be3063e2d3b6b92fba
• Download URL:
  https://repository.library.noaa.gov/view/noaa/66657/noaa_66657_DS1.pdf
• File Type:
  [PDF - 6.10 MB ]