A Summary of C-SHiELD v2025 Performance During the 2025 Spring Forecasting Experiment Period

Details

• Personal Author:
  Harris, Lucas ; Zhou, Linjiong ; Kaltenbaugh, Alexander ; Chen, Jan-Huey ; Cheng, Kai-Yuan ; Gao, Kun
• Corporate Authors:
  Geophysical Fluid Dynamics Laboratory (U.S.) ; Cooperative Institute for Modeling Earth System. ; University Corporation for Atmospheric Research.
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; GFDL (Geophysical Fluid Dynamics Laboratory) ; CIMES (Cooperative Institute for Modeling the Earth System)
• Description:
  A new v2025 version of the FV3-based Global-Nested C-SHiELD was developed for the 2025 Spring Forecasting Experiment. Significant improvements to radar reflectivity and precipitation prediction skills were found, on par with the operational HRRR but with lower biases for heavy rain rates. These improvements come entirely from optimization of the physical parameterizations, again demonstrating the FV3 Dynamical Core’s power for convective-scale prediction.
• Keywords:
  C-SHiELD FV3 GFDL Global-Nested Hazardous Weather Testbed Model Prediction Skill SHiELD Spring Forecasting Experiment
• Series:
  NOAA technical memorandum OAR GFDL   2025-001
• DOI:
  https://doi.org/10.25923/2syv-1884
• Format:
  pdf
• Document Type:
  Technical Memorandum
• License:
  https://creativecommons.org/publicdomain/zero/1.0/
• Rights Information:
  CC0 Public Domain
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:5516c1c5457432a79f2bb32777849c68e69923571a42936ba877d15558674a82a3b66447d75508381c3300947374922352c2bea85e00c29c9fa536308b6b8842
• Download URL:
  https://repository.library.noaa.gov/view/noaa/70913/noaa_70913_DS1.pdf
• File Type:
  [PDF - 2.68 MB ]