North American Tropical Cyclone Landfall and SST: A Statistical Model Study
A statistical-stochastic model of the complete life cycle of North Atlantic (NA) tropical cyclones (TCs) is used to examine the relationship between climate and landfall rates along the North American Atlantic and Gulf Coasts. The model draws on archived data of TCs throughout the North Atlantic to...
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ftnasantrs:oai:casi.ntrs.nasa.gov:20140010315 2023-05-15T17:30:49+02:00 North American Tropical Cyclone Landfall and SST: A Statistical Model Study Yonekura, Emmi Hall, Timothy Unclassified, Unlimited, Publicly available November 2013 application/pdf http://hdl.handle.net/2060/20140010315 unknown Document ID: 20140010315 http://hdl.handle.net/2060/20140010315 Copyright, Distribution as joint owner in the copyright CASI Meteorology and Climatology GSFC-E-DAA-TN8655 Journal of Climate; 26; 21; 8422-8439 2013 ftnasantrs 2019-07-21T00:27:46Z A statistical-stochastic model of the complete life cycle of North Atlantic (NA) tropical cyclones (TCs) is used to examine the relationship between climate and landfall rates along the North American Atlantic and Gulf Coasts. The model draws on archived data of TCs throughout the North Atlantic to estimate landfall rates at high geographic resolution as a function of the ENSO state and one of two different measures of sea surface temperature (SST): 1) SST averaged over the NA subtropics and the hurricane season and 2) this SST relative to the seasonal global subtropical mean SST (termed relSST). Here, the authors focus on SST by holding ENSO to a neutral state. Jackknife uncertainty tests are employed to test the significance of SST and relSST landfall relationships. There are more TC and major hurricane landfalls overall in warm years than cold, using either SST or relSST, primarily due to a basinwide increase in the number of storms. The signal along the coast, however, is complex. Some regions have large and significant sensitivity (e.g., an approximate doubling of annual major hurricane landfall probability on Texas from -2 to +2 standard deviations in relSST), while other regions have no significant sensitivity (e.g., the U.S. mid-Atlantic and Northeast coasts). This geographic structure is due to both shifts in the regions of primary TC genesis and shifts in TC propagation. Other/Unknown Material North Atlantic NASA Technical Reports Server (NTRS) |
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NASA Technical Reports Server (NTRS) |
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Meteorology and Climatology |
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Meteorology and Climatology Yonekura, Emmi Hall, Timothy North American Tropical Cyclone Landfall and SST: A Statistical Model Study |
topic_facet |
Meteorology and Climatology |
description |
A statistical-stochastic model of the complete life cycle of North Atlantic (NA) tropical cyclones (TCs) is used to examine the relationship between climate and landfall rates along the North American Atlantic and Gulf Coasts. The model draws on archived data of TCs throughout the North Atlantic to estimate landfall rates at high geographic resolution as a function of the ENSO state and one of two different measures of sea surface temperature (SST): 1) SST averaged over the NA subtropics and the hurricane season and 2) this SST relative to the seasonal global subtropical mean SST (termed relSST). Here, the authors focus on SST by holding ENSO to a neutral state. Jackknife uncertainty tests are employed to test the significance of SST and relSST landfall relationships. There are more TC and major hurricane landfalls overall in warm years than cold, using either SST or relSST, primarily due to a basinwide increase in the number of storms. The signal along the coast, however, is complex. Some regions have large and significant sensitivity (e.g., an approximate doubling of annual major hurricane landfall probability on Texas from -2 to +2 standard deviations in relSST), while other regions have no significant sensitivity (e.g., the U.S. mid-Atlantic and Northeast coasts). This geographic structure is due to both shifts in the regions of primary TC genesis and shifts in TC propagation. |
format |
Other/Unknown Material |
author |
Yonekura, Emmi Hall, Timothy |
author_facet |
Yonekura, Emmi Hall, Timothy |
author_sort |
Yonekura, Emmi |
title |
North American Tropical Cyclone Landfall and SST: A Statistical Model Study |
title_short |
North American Tropical Cyclone Landfall and SST: A Statistical Model Study |
title_full |
North American Tropical Cyclone Landfall and SST: A Statistical Model Study |
title_fullStr |
North American Tropical Cyclone Landfall and SST: A Statistical Model Study |
title_full_unstemmed |
North American Tropical Cyclone Landfall and SST: A Statistical Model Study |
title_sort |
north american tropical cyclone landfall and sst: a statistical model study |
publishDate |
2013 |
url |
http://hdl.handle.net/2060/20140010315 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
CASI |
op_relation |
Document ID: 20140010315 http://hdl.handle.net/2060/20140010315 |
op_rights |
Copyright, Distribution as joint owner in the copyright |
_version_ |
1766127917871398912 |