Willis Research Network Global Tropical Cyclone Wind Footprint Dataset

This dataset consists of 1046 global historical tropical cyclone (TC) wind footprints generated using the modeling approach described in Done et al. (2020). The dataset contains all TCs that made landfall with maximum wind speed of at least 40mph. Near-miss TCs are also included, defined as TCs that...

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Main Authors: DONE, JAMES, Ge, Ming, Holland, Greg, Dima-West, Ioana, Phibbs, Samuel, Saville, Geoffrey R., Wang, Yuqing
Format: Article in Journal/Newspaper
Language:unknown
Published: figshare 2022
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.c.5843453.v1
https://figshare.com/collections/Willis_Research_Network_Global_Tropical_Cyclone_Wind_Footprint_Dataset/5843453/1
id ftdatacite:10.6084/m9.figshare.c.5843453.v1
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.c.5843453.v1 2023-05-15T17:33:16+02:00 Willis Research Network Global Tropical Cyclone Wind Footprint Dataset DONE, JAMES Ge, Ming Holland, Greg Dima-West, Ioana Phibbs, Samuel Saville, Geoffrey R. Wang, Yuqing 2022 https://dx.doi.org/10.6084/m9.figshare.c.5843453.v1 https://figshare.com/collections/Willis_Research_Network_Global_Tropical_Cyclone_Wind_Footprint_Dataset/5843453/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.c.5843453 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Atmospheric Sciences FOS Earth and related environmental sciences Climate Science 40105 Climatology excl. Climate Change Processes article Collection 2022 ftdatacite https://doi.org/10.6084/m9.figshare.c.5843453.v1 https://doi.org/10.6084/m9.figshare.c.5843453 2022-03-10T13:00:19Z This dataset consists of 1046 global historical tropical cyclone (TC) wind footprints generated using the modeling approach described in Done et al. (2020). The dataset contains all TCs that made landfall with maximum wind speed of at least 40mph. Near-miss TCs are also included, defined as TCs that track within 50km of a coastline, or within 250km of the coastline with maximum wind speeds greater or equal to 58mph. Input track data sources are the Extended Best Track Dataset for the East Pacific and North Atlantic basins, and the Joint Typhoon Warning Center for all other TC basins. The data record length extends from 2019 as far back as the required input data are available. Archived radius of maximum wind (rmax) data extend back to 1988 for the North Atlantic and the East Pacific, and only as far as the early 2000s for the other basins. For all basins, landfalling track points are identified using the landfall flag in the IBTrACS dataset. Near-miss storms are identified using the ‘distance to land’ data in IBTrACS. The modeling approach uses the default Willoughby wind field model to create the gradient level winds that are then brought down to the surface using the Kepert and Wang boundary layer model. A correction factor of 1.225 is applied to all urban locations to correct for a low wind speed bias in urban locations. Each footprint is defined as the storm lifetime maximum 1-minute average wind at 10meters above Earth’s surface. The units are meters per second. Each footprint is on a latitude longitude grid with a grid spacing of 4km for the Caribbean and US regions and 3km for all other regions. Each footprint is a single text file named using the storm name with the word 'urban' appended to indicate the bias correction has been applied. Each text file has three columns of latitude, longitude and wind speed. Any missing storms are due to missing data from the default data sources described above. The most common reason for missing storms is missing rmax data near the start or end of tracks. The parent dataset tar file contains 17 gzipped tar files, one for each global region. Done, J. M., Ge, M., Holland, G. J., Dima-West, I., Phibbs, S., Saville, G. R., and Wang, Y.: Modelling global tropical cyclone wind footprints, Nat. Hazards Earth Syst. Sci., 20, 567–580, https://doi.org/10.5194/nhess-20-567-2020, 2020. Article in Journal/Newspaper North Atlantic DataCite Metadata Store (German National Library of Science and Technology) Pacific Willis ENVELOPE(159.450,159.450,-79.367,-79.367)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Atmospheric Sciences
FOS Earth and related environmental sciences
Climate Science
40105 Climatology excl. Climate Change Processes
spellingShingle Atmospheric Sciences
FOS Earth and related environmental sciences
Climate Science
40105 Climatology excl. Climate Change Processes
DONE, JAMES
Ge, Ming
Holland, Greg
Dima-West, Ioana
Phibbs, Samuel
Saville, Geoffrey R.
Wang, Yuqing
Willis Research Network Global Tropical Cyclone Wind Footprint Dataset
topic_facet Atmospheric Sciences
FOS Earth and related environmental sciences
Climate Science
40105 Climatology excl. Climate Change Processes
description This dataset consists of 1046 global historical tropical cyclone (TC) wind footprints generated using the modeling approach described in Done et al. (2020). The dataset contains all TCs that made landfall with maximum wind speed of at least 40mph. Near-miss TCs are also included, defined as TCs that track within 50km of a coastline, or within 250km of the coastline with maximum wind speeds greater or equal to 58mph. Input track data sources are the Extended Best Track Dataset for the East Pacific and North Atlantic basins, and the Joint Typhoon Warning Center for all other TC basins. The data record length extends from 2019 as far back as the required input data are available. Archived radius of maximum wind (rmax) data extend back to 1988 for the North Atlantic and the East Pacific, and only as far as the early 2000s for the other basins. For all basins, landfalling track points are identified using the landfall flag in the IBTrACS dataset. Near-miss storms are identified using the ‘distance to land’ data in IBTrACS. The modeling approach uses the default Willoughby wind field model to create the gradient level winds that are then brought down to the surface using the Kepert and Wang boundary layer model. A correction factor of 1.225 is applied to all urban locations to correct for a low wind speed bias in urban locations. Each footprint is defined as the storm lifetime maximum 1-minute average wind at 10meters above Earth’s surface. The units are meters per second. Each footprint is on a latitude longitude grid with a grid spacing of 4km for the Caribbean and US regions and 3km for all other regions. Each footprint is a single text file named using the storm name with the word 'urban' appended to indicate the bias correction has been applied. Each text file has three columns of latitude, longitude and wind speed. Any missing storms are due to missing data from the default data sources described above. The most common reason for missing storms is missing rmax data near the start or end of tracks. The parent dataset tar file contains 17 gzipped tar files, one for each global region. Done, J. M., Ge, M., Holland, G. J., Dima-West, I., Phibbs, S., Saville, G. R., and Wang, Y.: Modelling global tropical cyclone wind footprints, Nat. Hazards Earth Syst. Sci., 20, 567–580, https://doi.org/10.5194/nhess-20-567-2020, 2020.
format Article in Journal/Newspaper
author DONE, JAMES
Ge, Ming
Holland, Greg
Dima-West, Ioana
Phibbs, Samuel
Saville, Geoffrey R.
Wang, Yuqing
author_facet DONE, JAMES
Ge, Ming
Holland, Greg
Dima-West, Ioana
Phibbs, Samuel
Saville, Geoffrey R.
Wang, Yuqing
author_sort DONE, JAMES
title Willis Research Network Global Tropical Cyclone Wind Footprint Dataset
title_short Willis Research Network Global Tropical Cyclone Wind Footprint Dataset
title_full Willis Research Network Global Tropical Cyclone Wind Footprint Dataset
title_fullStr Willis Research Network Global Tropical Cyclone Wind Footprint Dataset
title_full_unstemmed Willis Research Network Global Tropical Cyclone Wind Footprint Dataset
title_sort willis research network global tropical cyclone wind footprint dataset
publisher figshare
publishDate 2022
url https://dx.doi.org/10.6084/m9.figshare.c.5843453.v1
https://figshare.com/collections/Willis_Research_Network_Global_Tropical_Cyclone_Wind_Footprint_Dataset/5843453/1
long_lat ENVELOPE(159.450,159.450,-79.367,-79.367)
geographic Pacific
Willis
geographic_facet Pacific
Willis
genre North Atlantic
genre_facet North Atlantic
op_relation https://dx.doi.org/10.6084/m9.figshare.c.5843453
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.c.5843453.v1
https://doi.org/10.6084/m9.figshare.c.5843453
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