Global Atmospheric Rivers catalog for ERA5 reanalysis ...

The dataset contains hourly detected Atmospheric Rivers (ARs) for ERA5 reanalysis (1979 – 2021). For the detection of ARs, the global detection algorithm introduced by Guan and Waliser (2015) (first version v1), and refined by Guan et al. (2018) (second version v2) is applied. The algorithm consider...

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Bibliographic Details
Main Authors: Lauer, Melanie, Mech, Mario, Guan, Bin
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.957161
https://doi.pangaea.de/10.1594/PANGAEA.957161
id ftdatacite:10.1594/pangaea.957161
record_format openpolar
spelling ftdatacite:10.1594/pangaea.957161 2024-06-09T07:44:08+00:00 Global Atmospheric Rivers catalog for ERA5 reanalysis ... Lauer, Melanie Mech, Mario Guan, Bin 2023 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.957161 https://doi.pangaea.de/10.1594/PANGAEA.957161 en eng PANGAEA https://dx.doi.org/10.1002/2015jd024257 https://dx.doi.org/10.1175/jhm-d-17-0114.1 https://dx.doi.org/10.5194/egusphere-2023-261 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 atmospheric river ERA5 Date/time start Date/time end Binary Object Binary Object File Size Arctic Amplification AC3 Dataset dataset 2023 ftdatacite https://doi.org/10.1594/pangaea.95716110.1002/2015jd02425710.1175/jhm-d-17-0114.110.5194/egusphere-2023-261 2024-05-13T12:44:51Z The dataset contains hourly detected Atmospheric Rivers (ARs) for ERA5 reanalysis (1979 – 2021). For the detection of ARs, the global detection algorithm introduced by Guan and Waliser (2015) (first version v1), and refined by Guan et al. (2018) (second version v2) is applied. The algorithm considers different requirements: the intensity of integrated water vapor transport IVT, direction, and geometry (described in detail by Guan and Waliser (2015), Guan et al. (2018), and Lauer et al. (2023)). (1) IVT intensity: The IVT must exceed the 85th percentile of IVT for each grid cell and the lower limit of 100 kg m⁻¹ s⁻¹. (2) IVT direction: The IVT direction at individual grid cells have to be coherent, and the direction of object-mean IVT has to be within 45° of the AR shape orientation, with an appreciable poleward component. (3) Geometry: The length has to be larger than 2000 km, and the length-to-width ratio should be higher than two. In case an object exceeds the IVT percentile, but (2) and (3) are not ... Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic atmospheric river
ERA5
Date/time start
Date/time end
Binary Object
Binary Object File Size
Arctic Amplification AC3
spellingShingle atmospheric river
ERA5
Date/time start
Date/time end
Binary Object
Binary Object File Size
Arctic Amplification AC3
Lauer, Melanie
Mech, Mario
Guan, Bin
Global Atmospheric Rivers catalog for ERA5 reanalysis ...
topic_facet atmospheric river
ERA5
Date/time start
Date/time end
Binary Object
Binary Object File Size
Arctic Amplification AC3
description The dataset contains hourly detected Atmospheric Rivers (ARs) for ERA5 reanalysis (1979 – 2021). For the detection of ARs, the global detection algorithm introduced by Guan and Waliser (2015) (first version v1), and refined by Guan et al. (2018) (second version v2) is applied. The algorithm considers different requirements: the intensity of integrated water vapor transport IVT, direction, and geometry (described in detail by Guan and Waliser (2015), Guan et al. (2018), and Lauer et al. (2023)). (1) IVT intensity: The IVT must exceed the 85th percentile of IVT for each grid cell and the lower limit of 100 kg m⁻¹ s⁻¹. (2) IVT direction: The IVT direction at individual grid cells have to be coherent, and the direction of object-mean IVT has to be within 45° of the AR shape orientation, with an appreciable poleward component. (3) Geometry: The length has to be larger than 2000 km, and the length-to-width ratio should be higher than two. In case an object exceeds the IVT percentile, but (2) and (3) are not ...
format Dataset
author Lauer, Melanie
Mech, Mario
Guan, Bin
author_facet Lauer, Melanie
Mech, Mario
Guan, Bin
author_sort Lauer, Melanie
title Global Atmospheric Rivers catalog for ERA5 reanalysis ...
title_short Global Atmospheric Rivers catalog for ERA5 reanalysis ...
title_full Global Atmospheric Rivers catalog for ERA5 reanalysis ...
title_fullStr Global Atmospheric Rivers catalog for ERA5 reanalysis ...
title_full_unstemmed Global Atmospheric Rivers catalog for ERA5 reanalysis ...
title_sort global atmospheric rivers catalog for era5 reanalysis ...
publisher PANGAEA
publishDate 2023
url https://dx.doi.org/10.1594/pangaea.957161
https://doi.pangaea.de/10.1594/PANGAEA.957161
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://dx.doi.org/10.1002/2015jd024257
https://dx.doi.org/10.1175/jhm-d-17-0114.1
https://dx.doi.org/10.5194/egusphere-2023-261
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.1594/pangaea.95716110.1002/2015jd02425710.1175/jhm-d-17-0114.110.5194/egusphere-2023-261
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