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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2023
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Online Access: | https://dx.doi.org/10.1594/pangaea.957161 https://doi.pangaea.de/10.1594/PANGAEA.957161 |
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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 |
_version_ |
1801372936451391488 |