North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset III

Extratropical cyclones (ECs) are the focus of many open questions, spanning from weather to climate and from local to global scales. The relationship between moisture uptake and precipitation over different mesoscale EC structures remains poorly understood. The availability of moisture parameters to...

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Main Authors: Coll-Hidalgo, Patricia, Nieto, Raquel, Fernandez, Jose Carlos, GIMENO, LUIS
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2024
Subjects:
Online Access:https://doi.org/10.5281/zenodo.11476925
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spelling ftzenodo:oai:zenodo.org:11476925 2024-09-15T18:22:25+00:00 North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset III Coll-Hidalgo, Patricia Nieto, Raquel Fernandez, Jose Carlos GIMENO, LUIS 2024-06-04 https://doi.org/10.5281/zenodo.11476925 unknown Zenodo https://doi.org/10.5281/zenodo.11476835 https://doi.org/10.5281/zenodo.11454946 https://doi.org/10.5281/zenodo.11476924 https://doi.org/10.5281/zenodo.11476925 oai:zenodo.org:11476925 info:eu-repo/semantics/restrictedAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2024 ftzenodo https://doi.org/10.5281/zenodo.1147692510.5281/zenodo.1147683510.5281/zenodo.1145494610.5281/zenodo.11476924 2024-07-27T01:08:49Z Extratropical cyclones (ECs) are the focus of many open questions, spanning from weather to climate and from local to global scales. The relationship between moisture uptake and precipitation over different mesoscale EC structures remains poorly understood. The availability of moisture parameters to the scientific community through tracer dispersion models benefits the representation of the processes involving moisture, the dynamics of ECs and the understanding of the associated meteorological fields. In this study, we present a database for North Atlantic EC tracks and a Lagrangian-Derived Moisture Uptake Dataset, both of which are derived from dynamically downscaled ERA5 reanalysis data. We provide moisture parameters such as the total moisture uptake, its vertical distribution by layer, and shapefiles of EC structures to facilitate further studies in this area. Our data have been thoroughly validated to ensure that the storm tracks and their characteristics are accurately represented in the model without distortion. Additionally, we conduct a series of experiments to demonstrate the rigour and quality of the methods employed to generate the data. *You are in the repository that contains the year's dataset between 2017-2022* Repository for years: 1985-1999: https://doi.org/10.5281/zenodo.11454946 2000-2016: https://doi.org/10.5281/zenodo.11476835 Other/Unknown Material North Atlantic Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description Extratropical cyclones (ECs) are the focus of many open questions, spanning from weather to climate and from local to global scales. The relationship between moisture uptake and precipitation over different mesoscale EC structures remains poorly understood. The availability of moisture parameters to the scientific community through tracer dispersion models benefits the representation of the processes involving moisture, the dynamics of ECs and the understanding of the associated meteorological fields. In this study, we present a database for North Atlantic EC tracks and a Lagrangian-Derived Moisture Uptake Dataset, both of which are derived from dynamically downscaled ERA5 reanalysis data. We provide moisture parameters such as the total moisture uptake, its vertical distribution by layer, and shapefiles of EC structures to facilitate further studies in this area. Our data have been thoroughly validated to ensure that the storm tracks and their characteristics are accurately represented in the model without distortion. Additionally, we conduct a series of experiments to demonstrate the rigour and quality of the methods employed to generate the data. *You are in the repository that contains the year's dataset between 2017-2022* Repository for years: 1985-1999: https://doi.org/10.5281/zenodo.11454946 2000-2016: https://doi.org/10.5281/zenodo.11476835
format Other/Unknown Material
author Coll-Hidalgo, Patricia
Nieto, Raquel
Fernandez, Jose Carlos
GIMENO, LUIS
spellingShingle Coll-Hidalgo, Patricia
Nieto, Raquel
Fernandez, Jose Carlos
GIMENO, LUIS
North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset III
author_facet Coll-Hidalgo, Patricia
Nieto, Raquel
Fernandez, Jose Carlos
GIMENO, LUIS
author_sort Coll-Hidalgo, Patricia
title North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset III
title_short North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset III
title_full North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset III
title_fullStr North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset III
title_full_unstemmed North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset III
title_sort north atlantic extratropical cyclone tracks and lagrangian-derived moisture uptake dataset iii
publisher Zenodo
publishDate 2024
url https://doi.org/10.5281/zenodo.11476925
genre North Atlantic
genre_facet North Atlantic
op_relation https://doi.org/10.5281/zenodo.11476835
https://doi.org/10.5281/zenodo.11454946
https://doi.org/10.5281/zenodo.11476924
https://doi.org/10.5281/zenodo.11476925
oai:zenodo.org:11476925
op_rights info:eu-repo/semantics/restrictedAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.1147692510.5281/zenodo.1147683510.5281/zenodo.1145494610.5281/zenodo.11476924
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