TY - JOUR
T1 - Closing the Gap—Hurricane Prediction Advances in the U.S. FV3-Based Models
AU - Chen, Jan Huey
AU - Marchok, Timothy
AU - Bender, Morris
AU - Gao, Kun
AU - Gopalakrishnan, Sundararaman
AU - Harris, Lucas
AU - Hazelton, Andrew
AU - Liu, Bin
AU - Mehra, Avichal
AU - Morin, Matthew
AU - Yang, Fanglin
AU - Zhang, Xuejin
AU - Zhang, Zhan
AU - Zhou, Linjiong
N1 - Publisher Copyright:
© 2025 American Meteorological Society.
PY - 2025/7
Y1 - 2025/7
N2 - 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.
AB - 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.
KW - Dynamical system model
KW - Hurricanes/ typhoons
KW - Model evaluation/ performance
KW - Numerical analysis/ modeling
KW - Numerical weather prediction/ forecasting
KW - Operational forecasting
UR - https://www.scopus.com/pages/publications/105010891923
U2 - 10.1175/BAMS-D-24-0036.1
DO - 10.1175/BAMS-D-24-0036.1
M3 - Article
AN - SCOPUS:105010891923
SN - 0003-0007
VL - 106
SP - E1211-E1220
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 7
ER -