Anticyclonic Rossby wave breaking (AWB)-associated vertical wind shear anomalies, 1979-2019

This repository comprises data generated for the study "Winter Rossby Wave Breaking Persistence in Extended-range Seasonal Forecasts of Atlantic Tropical Cyclone Activity" (Jones et al. 2021). The repository includes: i) The first four leading modes of tropical Atlantic vertical wind shear...

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Main Author: Jones, J (via Mendeley Data)
Language:unknown
Published: 2021
Subjects:
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-t9-y9xl
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:220193
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:220193
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:220193 2023-07-02T03:33:07+02:00 Anticyclonic Rossby wave breaking (AWB)-associated vertical wind shear anomalies, 1979-2019 Jones, J (via Mendeley Data) 2021-09-01T07:42:41.929Z http://nbn-resolving.org/urn:nbn:nl:ui:13-t9-y9xl https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:220193 unknown 1 cmfbkdz4f6 http://nbn-resolving.org/urn:nbn:nl:ui:13-t9-y9xl doi:10.17632/cmfbkdz4f6.1 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:220193 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Jhordanne Jones Interdisciplinary sciences 2021 ftdans https://doi.org/10.17632/cmfbkdz4f6.1 2023-06-13T13:05:04Z This repository comprises data generated for the study "Winter Rossby Wave Breaking Persistence in Extended-range Seasonal Forecasts of Atlantic Tropical Cyclone Activity" (Jones et al. 2021). The repository includes: i) The first four leading modes of tropical Atlantic vertical wind shear (seasonal); ii) Six-hourly (0Z, 6Z, 12Z, 18Z), monthly and seasonal indices of vertical wind shear anomalies associated with the downstream edge of anticyclonic Rossby wave breaking (AWB) detected over the North Atlantic region (20-40N, 100-5W); iii) An index of subtropical zonal wind anomalies projected against the correlation pattern between the second leading mode of July-September tropical Atlantic vertical wind shear and the January-March 200 hPa zonal wind field. The reanalysis dataset used is the ECMWF ERA-5 Reanalysis dataset. The wave breaking detection algorithm used to generate this index is outlined in Papin et al. (2020) and calculation of the AWB-associated shear is outlined in Jones et al. (2020). The data captures the main drivers (both tropical and subtropical) of summer tropical Atlantic vertical wind shear and is used in our study to quantify the added skill in extended-range statistical forecasts of tropical cyclone activity. For the original scripts that produced the archived indices, please contact the author at jhordanne.jones@colostate.edu or jhrdnnjones3@gmail.com. Other/Unknown Material North Atlantic Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Interdisciplinary sciences
spellingShingle Interdisciplinary sciences
Jones, J (via Mendeley Data)
Anticyclonic Rossby wave breaking (AWB)-associated vertical wind shear anomalies, 1979-2019
topic_facet Interdisciplinary sciences
description This repository comprises data generated for the study "Winter Rossby Wave Breaking Persistence in Extended-range Seasonal Forecasts of Atlantic Tropical Cyclone Activity" (Jones et al. 2021). The repository includes: i) The first four leading modes of tropical Atlantic vertical wind shear (seasonal); ii) Six-hourly (0Z, 6Z, 12Z, 18Z), monthly and seasonal indices of vertical wind shear anomalies associated with the downstream edge of anticyclonic Rossby wave breaking (AWB) detected over the North Atlantic region (20-40N, 100-5W); iii) An index of subtropical zonal wind anomalies projected against the correlation pattern between the second leading mode of July-September tropical Atlantic vertical wind shear and the January-March 200 hPa zonal wind field. The reanalysis dataset used is the ECMWF ERA-5 Reanalysis dataset. The wave breaking detection algorithm used to generate this index is outlined in Papin et al. (2020) and calculation of the AWB-associated shear is outlined in Jones et al. (2020). The data captures the main drivers (both tropical and subtropical) of summer tropical Atlantic vertical wind shear and is used in our study to quantify the added skill in extended-range statistical forecasts of tropical cyclone activity. For the original scripts that produced the archived indices, please contact the author at jhordanne.jones@colostate.edu or jhrdnnjones3@gmail.com.
author Jones, J (via Mendeley Data)
author_facet Jones, J (via Mendeley Data)
author_sort Jones, J (via Mendeley Data)
title Anticyclonic Rossby wave breaking (AWB)-associated vertical wind shear anomalies, 1979-2019
title_short Anticyclonic Rossby wave breaking (AWB)-associated vertical wind shear anomalies, 1979-2019
title_full Anticyclonic Rossby wave breaking (AWB)-associated vertical wind shear anomalies, 1979-2019
title_fullStr Anticyclonic Rossby wave breaking (AWB)-associated vertical wind shear anomalies, 1979-2019
title_full_unstemmed Anticyclonic Rossby wave breaking (AWB)-associated vertical wind shear anomalies, 1979-2019
title_sort anticyclonic rossby wave breaking (awb)-associated vertical wind shear anomalies, 1979-2019
publishDate 2021
url http://nbn-resolving.org/urn:nbn:nl:ui:13-t9-y9xl
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:220193
genre North Atlantic
genre_facet North Atlantic
op_relation 1
cmfbkdz4f6
http://nbn-resolving.org/urn:nbn:nl:ui:13-t9-y9xl
doi:10.17632/cmfbkdz4f6.1
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:220193
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
Jhordanne Jones
op_doi https://doi.org/10.17632/cmfbkdz4f6.1
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