Impact of reanalysis boundary conditions on downscaled Atlantic hurricane activity

Climate models are capable of producing features similar to tropical cyclones, but typically display strong biases for many of the storm physical characteristics due to their relatively coarse resolution compared to the size of the storms themselves. One strategy that has been adopted to circumvent...

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Main Authors: Baudouin, JP, Caron, LP, Boudreault, M
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2019
Subjects:
Online Access:https://www.repository.cam.ac.uk/handle/1810/279626
https://doi.org/10.17863/CAM.26996
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spelling ftunivcam:oai:www.repository.cam.ac.uk:1810/279626 2024-01-14T10:08:57+01:00 Impact of reanalysis boundary conditions on downscaled Atlantic hurricane activity Baudouin, JP Caron, LP Boudreault, M 2019 application/pdf https://www.repository.cam.ac.uk/handle/1810/279626 https://doi.org/10.17863/CAM.26996 eng eng Springer Science and Business Media LLC http://dx.doi.org/10.1007/s00382-018-4352-7 Climate Dynamics https://www.repository.cam.ac.uk/handle/1810/279626 doi:10.17863/CAM.26996 Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ Tropical cyclones Hurricanes North Atlantic Downscaling Storms Tracks El Nino Southern Oscillation Article 2019 ftunivcam https://doi.org/10.17863/CAM.26996 2023-12-21T23:27:48Z Climate models are capable of producing features similar to tropical cyclones, but typically display strong biases for many of the storm physical characteristics due to their relatively coarse resolution compared to the size of the storms themselves. One strategy that has been adopted to circumvent this limitation is through the use of a hybrid downscaling technique, wherein a large set of synthetic tracks are created by seeding disturbances in the large-scale environment. Here, we evaluate the ability of this technique at reproducing many of the characteristics of the recent North Atlantic hurricane activity as well as its sensitivity to the choice of the reanalysis dataset used as boundary conditions. In particular, we show that the geographical and intensity distributions are well reproduced, but that the technique has difficulty capturing the large difference in activity observed between the most recent active and quiescent phase. Although the signal is somewhat reduced compared to observation, the technique also detects a significant decrease in the intensification rate of hurricanes near the coastal U.S. during the active phase compared to the quiescent phase. Finally, the influence of the El Ni\~no Southern Oscillation on hurricane activity is generally well captured as well, but the technique fails to reproduce the increase in activity over the western part of the basin during Modoki El Niños. Ministerio de Economa y Competitividad (MINECO; Project GL2014-55764-R) Article in Journal/Newspaper North Atlantic Apollo - University of Cambridge Repository
institution Open Polar
collection Apollo - University of Cambridge Repository
op_collection_id ftunivcam
language English
topic Tropical cyclones
Hurricanes
North Atlantic
Downscaling
Storms Tracks
El Nino Southern Oscillation
spellingShingle Tropical cyclones
Hurricanes
North Atlantic
Downscaling
Storms Tracks
El Nino Southern Oscillation
Baudouin, JP
Caron, LP
Boudreault, M
Impact of reanalysis boundary conditions on downscaled Atlantic hurricane activity
topic_facet Tropical cyclones
Hurricanes
North Atlantic
Downscaling
Storms Tracks
El Nino Southern Oscillation
description Climate models are capable of producing features similar to tropical cyclones, but typically display strong biases for many of the storm physical characteristics due to their relatively coarse resolution compared to the size of the storms themselves. One strategy that has been adopted to circumvent this limitation is through the use of a hybrid downscaling technique, wherein a large set of synthetic tracks are created by seeding disturbances in the large-scale environment. Here, we evaluate the ability of this technique at reproducing many of the characteristics of the recent North Atlantic hurricane activity as well as its sensitivity to the choice of the reanalysis dataset used as boundary conditions. In particular, we show that the geographical and intensity distributions are well reproduced, but that the technique has difficulty capturing the large difference in activity observed between the most recent active and quiescent phase. Although the signal is somewhat reduced compared to observation, the technique also detects a significant decrease in the intensification rate of hurricanes near the coastal U.S. during the active phase compared to the quiescent phase. Finally, the influence of the El Ni\~no Southern Oscillation on hurricane activity is generally well captured as well, but the technique fails to reproduce the increase in activity over the western part of the basin during Modoki El Niños. Ministerio de Economa y Competitividad (MINECO; Project GL2014-55764-R)
format Article in Journal/Newspaper
author Baudouin, JP
Caron, LP
Boudreault, M
author_facet Baudouin, JP
Caron, LP
Boudreault, M
author_sort Baudouin, JP
title Impact of reanalysis boundary conditions on downscaled Atlantic hurricane activity
title_short Impact of reanalysis boundary conditions on downscaled Atlantic hurricane activity
title_full Impact of reanalysis boundary conditions on downscaled Atlantic hurricane activity
title_fullStr Impact of reanalysis boundary conditions on downscaled Atlantic hurricane activity
title_full_unstemmed Impact of reanalysis boundary conditions on downscaled Atlantic hurricane activity
title_sort impact of reanalysis boundary conditions on downscaled atlantic hurricane activity
publisher Springer Science and Business Media LLC
publishDate 2019
url https://www.repository.cam.ac.uk/handle/1810/279626
https://doi.org/10.17863/CAM.26996
genre North Atlantic
genre_facet North Atlantic
op_relation https://www.repository.cam.ac.uk/handle/1810/279626
doi:10.17863/CAM.26996
op_rights Attribution 4.0 International (CC BY 4.0)
https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.17863/CAM.26996
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