2022 real-time Hurricane forecasts from an experimental version of the Hurricane analysis and forecast system (HAFSV0.3S)

During the 2022 hurricane season, real-time forecasts were conducted using an experimental version of the Hurricane Analysis and Forecast System (HAFS). The version of HAFS detailed in this paper (HAFSV0.3S, hereafter HAFS-S) featured the moving nest recently developed at NOAA AOML, and also model p...

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Published in:Frontiers in Earth Science
Main Authors: Hazelton, Andrew, Alaka, Ghassan J., Gramer, Lew, Ramstrom, William, Ditchek, Sarah, Chen, Xiaomin, Liu, Bin, Zhang, Zhan, Zhu, Lin, Wang, Weiguo, Thomas, Biju, Shin, JungHoon, Wang, Chuan-Kai, Kim, Hyun-Sook, Zhang, Xuejin, Mehra, Avichal, Marks, Frank, Gopalakrishnan, Sundararaman
Other Authors: National Oceanic and Atmospheric Administration
Format: Article in Journal/Newspaper
Language:unknown
Published: Frontiers Media SA 2023
Subjects:
Online Access:https://doi.org/10.3389/feart.2023.1264969
https://www.frontiersin.org/articles/10.3389/feart.2023.1264969/full
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author Hazelton, Andrew
Alaka, Ghassan J.
Gramer, Lew
Ramstrom, William
Ditchek, Sarah
Chen, Xiaomin
Liu, Bin
Zhang, Zhan
Zhu, Lin
Wang, Weiguo
Thomas, Biju
Shin, JungHoon
Wang, Chuan-Kai
Kim, Hyun-Sook
Zhang, Xuejin
Mehra, Avichal
Marks, Frank
Gopalakrishnan, Sundararaman
author2 National Oceanic and Atmospheric Administration
author_facet Hazelton, Andrew
Alaka, Ghassan J.
Gramer, Lew
Ramstrom, William
Ditchek, Sarah
Chen, Xiaomin
Liu, Bin
Zhang, Zhan
Zhu, Lin
Wang, Weiguo
Thomas, Biju
Shin, JungHoon
Wang, Chuan-Kai
Kim, Hyun-Sook
Zhang, Xuejin
Mehra, Avichal
Marks, Frank
Gopalakrishnan, Sundararaman
author_sort Hazelton, Andrew
collection Frontiers (Publisher)
container_title Frontiers in Earth Science
container_volume 11
description During the 2022 hurricane season, real-time forecasts were conducted using an experimental version of the Hurricane Analysis and Forecast System (HAFS). The version of HAFS detailed in this paper (HAFSV0.3S, hereafter HAFS-S) featured the moving nest recently developed at NOAA AOML, and also model physics upgrades: TC-specific modifications to the planetary boundary layer (PBL) scheme and introduction of the Thompson microphysics scheme. The real-time forecasts covered a large dataset of cases across the North Atlantic and eastern North Pacific 2022 hurricane seasons, providing an opportunity to evaluate this version of HAFS ahead of planned operational implementation of a similar version in 2023. The track forecast results show that HAFS-S outperformed the 2022 version of the operational HWRF model in the Atlantic, and was the best of several regional hurricane models in the eastern North Pacific for track. The intensity results were more mixed, with a dropoff in skill at Days 4–5 in the Atlantic but increased skill in the eastern North Pacific. HAFS-S also showed some larger errors than the long-time operational Hurricane Weather Research and Forecasting (HWRF) model in the radius of 34-knot wind, but other radii metrics are improved. Detailed analysis of Hurricane Ian in the Atlantic highlights both the strengths of HAFS and opportunities for further development and improvement.
format Article in Journal/Newspaper
genre North Atlantic
genre_facet North Atlantic
geographic Pacific
geographic_facet Pacific
id crfrontiers:10.3389/feart.2023.1264969
institution Open Polar
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op_collection_id crfrontiers
op_doi https://doi.org/10.3389/feart.2023.1264969
op_rights https://creativecommons.org/licenses/by/4.0/
op_source Frontiers in Earth Science
volume 11
ISSN 2296-6463
publishDate 2023
publisher Frontiers Media SA
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spelling crfrontiers:10.3389/feart.2023.1264969 2025-05-11T14:23:17+00:00 2022 real-time Hurricane forecasts from an experimental version of the Hurricane analysis and forecast system (HAFSV0.3S) Hazelton, Andrew Alaka, Ghassan J. Gramer, Lew Ramstrom, William Ditchek, Sarah Chen, Xiaomin Liu, Bin Zhang, Zhan Zhu, Lin Wang, Weiguo Thomas, Biju Shin, JungHoon Wang, Chuan-Kai Kim, Hyun-Sook Zhang, Xuejin Mehra, Avichal Marks, Frank Gopalakrishnan, Sundararaman National Oceanic and Atmospheric Administration 2023 https://doi.org/10.3389/feart.2023.1264969 https://www.frontiersin.org/articles/10.3389/feart.2023.1264969/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Earth Science volume 11 ISSN 2296-6463 journal-article 2023 crfrontiers https://doi.org/10.3389/feart.2023.1264969 2025-04-17T15:01:25Z During the 2022 hurricane season, real-time forecasts were conducted using an experimental version of the Hurricane Analysis and Forecast System (HAFS). The version of HAFS detailed in this paper (HAFSV0.3S, hereafter HAFS-S) featured the moving nest recently developed at NOAA AOML, and also model physics upgrades: TC-specific modifications to the planetary boundary layer (PBL) scheme and introduction of the Thompson microphysics scheme. The real-time forecasts covered a large dataset of cases across the North Atlantic and eastern North Pacific 2022 hurricane seasons, providing an opportunity to evaluate this version of HAFS ahead of planned operational implementation of a similar version in 2023. The track forecast results show that HAFS-S outperformed the 2022 version of the operational HWRF model in the Atlantic, and was the best of several regional hurricane models in the eastern North Pacific for track. The intensity results were more mixed, with a dropoff in skill at Days 4–5 in the Atlantic but increased skill in the eastern North Pacific. HAFS-S also showed some larger errors than the long-time operational Hurricane Weather Research and Forecasting (HWRF) model in the radius of 34-knot wind, but other radii metrics are improved. Detailed analysis of Hurricane Ian in the Atlantic highlights both the strengths of HAFS and opportunities for further development and improvement. Article in Journal/Newspaper North Atlantic Frontiers (Publisher) Pacific Frontiers in Earth Science 11
spellingShingle Hazelton, Andrew
Alaka, Ghassan J.
Gramer, Lew
Ramstrom, William
Ditchek, Sarah
Chen, Xiaomin
Liu, Bin
Zhang, Zhan
Zhu, Lin
Wang, Weiguo
Thomas, Biju
Shin, JungHoon
Wang, Chuan-Kai
Kim, Hyun-Sook
Zhang, Xuejin
Mehra, Avichal
Marks, Frank
Gopalakrishnan, Sundararaman
2022 real-time Hurricane forecasts from an experimental version of the Hurricane analysis and forecast system (HAFSV0.3S)
title 2022 real-time Hurricane forecasts from an experimental version of the Hurricane analysis and forecast system (HAFSV0.3S)
title_full 2022 real-time Hurricane forecasts from an experimental version of the Hurricane analysis and forecast system (HAFSV0.3S)
title_fullStr 2022 real-time Hurricane forecasts from an experimental version of the Hurricane analysis and forecast system (HAFSV0.3S)
title_full_unstemmed 2022 real-time Hurricane forecasts from an experimental version of the Hurricane analysis and forecast system (HAFSV0.3S)
title_short 2022 real-time Hurricane forecasts from an experimental version of the Hurricane analysis and forecast system (HAFSV0.3S)
title_sort 2022 real-time hurricane forecasts from an experimental version of the hurricane analysis and forecast system (hafsv0.3s)
url https://doi.org/10.3389/feart.2023.1264969
https://www.frontiersin.org/articles/10.3389/feart.2023.1264969/full