Evaluation and Setup of a High-Resolution Regional Coupled Ocean–Atmosphere Model for Hindcasting Tropical Cyclones in the North Atlantic Ocean Basin

This paper presents the setup and evaluation of a high-resolution, regional, coupled ocean–atmosphere model to simulate tropical cyclones (TCs) in the North Atlantic Basin. This approach combines the Weather Research and Forecasting (WRF) atmospheric model and the Coastal and Regional Ocean Community (CROCO), featuring spatial resolutions of 9 km and 18 km, respectively, which are coupled through OASIS-MCT. A hindcast ensemble of 15 historical TCs was simulated using both the coupled and uncoupled model configurations. TC tracks and intensities were extracted using an automated detection algorithm and compared with observational data from the International Best Track Archive for Climate Stewardship (IBTrACS). The coupled model showed good overall performance in representing TC trajectories and intensity changes. The mean distance error between the simulated and observed TCs centers was 176 km. The median intensity difference was 6.4% with a tendency to slightly overestimate TC intensity. Performance varied across storms, with cases such as Dennis (2005) and Fiona (2022) simulated with relatively high accuracy, while others, including Eta (2020), exhibited larger errors. This coupled modeling system provides a promising tool for studying ocean–atmosphere interactions during TCs and for generating high-resolution 3D data for both the ocean and atmosphere. However, the limitations include computational expense and sensitivity to the model configuration choices.

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Publication Details

Journal
Atmosphere
Published
2026-03-31
DOI
https://doi.org/10.3390/atmos17040356
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
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article

Evaluation and Setup of a High-Resolution Regional Coupled Ocean–Atmosphere Model for Hindcasting Tropical Cyclones in the North Atlantic Ocean Basin

Carlos D. Hoyos, M. Zapata-Henao, Yuley Cardona
Atmosphere
Tropical and Extratropical Cyclones Research
article

Evaluation and Setup of a High-Resolution Regional Coupled Ocean–Atmosphere Model for Hindcasting Tropical Cyclones in the North Atlantic Ocean Basin

Carlos D. Hoyos, M. Zapata-Henao, Yuley Cardona
article en

Abstract

This paper presents the setup and evaluation of a high-resolution, regional, coupled ocean–atmosphere model to simulate tropical cyclones (TCs) in the North Atlantic Basin. This approach combines the Weather Research and Forecasting (WRF) atmospheric model and the Coastal and Regional Ocean Community (CROCO), featuring spatial resolutions of 9 km and 18 km, respectively, which are coupled through OASIS-MCT. A hindcast ensemble of 15 historical TCs was simulated using both the coupled and uncoupled model configurations. TC tracks and intensities were extracted using an automated detection algorithm and compared with observational data from the International Best Track Archive for Climate Stewardship (IBTrACS). The coupled model showed good overall performance in representing TC trajectories and intensity changes. The mean distance error between the simulated and observed TCs centers was 176 km. The median intensity difference was 6.4% with a tendency to slightly overestimate TC intensity. Performance varied across storms, with cases such as Dennis (2005) and Fiona (2022) simulated with relatively high accuracy, while others, including Eta (2020), exhibited larger errors. This coupled modeling system provides a promising tool for studying ocean–atmosphere interactions during TCs and for generating high-resolution 3D data for both the ocean and atmosphere. However, the limitations include computational expense and sensitivity to the model configuration choices.

AtmosphereVol. 17(4)
Universidad Nacional de Colombia (CO)
Life below water
Openalex Percentile: Top 24%
Tropical and Extratropical Cyclones Research
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Evaluation and Setup of a High-Resolution Regional Coupled Ocean–Atmosphere Model for Hindcasting Tropical Cyclones in the North Atlantic Ocean Basin — Carlos D. Hoyos, M. Zapata-Henao, et al. · Atmosphere (2026) | TGRS Research Map | TGRS