Closing the Gap—Hurricane Prediction Advances in the U.S. FV3-Based Models

Jan Huey Chen, Timothy Marchok, Morris Bender, Kun Gao, Sundararaman Gopalakrishnan, Lucas Harris, Andrew Hazelton, Bin Liu, Avichal Mehra, Matthew Morin, Fanglin Yang, Xuejin Zhang, Zhan Zhang, Linjiong Zhou

Research output: Contribution to journalArticlepeer-review

Abstract

The Integrated Forecasting System (IFS) developed by the European Centre for Medium-Range Weather Forecasts (ECMWF) has been regarded as the best guidance for hurricane track forecasts for years. However, the performance of U.S. models on hurricane forecasts has been catching up. Since 2019, various Finite-Volume Cubed-Sphere Dynamical Core (FV3)-based models, including the National Centers for Environmental Prediction (NCEP) operational Global Forecast System (GFS), newly operational Hurricane Analysis and Forecast System (HAFS), and research-oriented Geophysical Fluid Dynamics Laboratory (GFDL) System for High-resolution prediction on Earth-to-Local Domains (SHiELD), have consistently demonstrated improved hurricane forecasts in the North Atlantic basin, relative to the previous generation of National Oceanic and Atmospheric Administration (NOAA) operational and research models. This article presents the progress that has been made and identifies areas for improvement for U.S. model development on hurricane forecasts.

Original languageEnglish
Pages (from-to)E1211-E1220
JournalBulletin of the American Meteorological Society
Volume106
Issue number7
DOIs
StatePublished - Jul 2025
Externally publishedYes

Keywords

  • Dynamical system model
  • Hurricanes/ typhoons
  • Model evaluation/ performance
  • Numerical analysis/ modeling
  • Numerical weather prediction/ forecasting
  • Operational forecasting

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