Discriminators of Antarctic Atmospheric River Environments ...

This study uses MERRA-2 reanalysis (Gelaro et al., 2017) to identify discriminators of Antarctic atmospheric river (AR) environments and a subset of high-precipitation Antarctic AR environments. To do this, we identify a collection of analog environments (timesteps that feature the closest synoptic-...

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Bibliographic Details
Main Author: Baiman, Rebecca
Format: Dataset
Language:unknown
Published: University of Colorado Boulder 2023
Subjects:
Online Access:https://dx.doi.org/10.25810/7g6f-nz02
https://scholar.colorado.edu/concern/datasets/jw827d12x
id ftdatacite:10.25810/7g6f-nz02
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spelling ftdatacite:10.25810/7g6f-nz02 2023-10-01T03:52:07+02:00 Discriminators of Antarctic Atmospheric River Environments ... Baiman, Rebecca 2023 https://dx.doi.org/10.25810/7g6f-nz02 https://scholar.colorado.edu/concern/datasets/jw827d12x unknown University of Colorado Boulder Dataset dataset 2023 ftdatacite https://doi.org/10.25810/7g6f-nz02 2023-09-04T14:59:27Z This study uses MERRA-2 reanalysis (Gelaro et al., 2017) to identify discriminators of Antarctic atmospheric river (AR) environments and a subset of high-precipitation Antarctic AR environments. To do this, we identify a collection of analog environments (timesteps that feature the closest synoptic-scale environment to each AR, but no AR), a collection of landfalling Antarctic ARs, and a subset of high-impact ARs defined by highest attributable precipitaiton. This dataset includes the timestep, central longitude, and precipitation information for each of the timesteps in these three categories. Gelaro, R., McCarty, W., Suarez, M.J., Todling, R., Molod, A., Takacs, L., Zhao, B. (2017). The modern-era retrospective analysis for research and application, version 2 (MERRA-2). Journal of Climate, 30(14). doi: 10.1175/JCLI-D-16-0758.1 ... Dataset Antarc* Antarctic DataCite Metadata Store (German National Library of Science and Technology) Antarctic Merra ENVELOPE(12.615,12.615,65.816,65.816) Suarez ENVELOPE(-145.700,-145.700,-86.450,-86.450)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description This study uses MERRA-2 reanalysis (Gelaro et al., 2017) to identify discriminators of Antarctic atmospheric river (AR) environments and a subset of high-precipitation Antarctic AR environments. To do this, we identify a collection of analog environments (timesteps that feature the closest synoptic-scale environment to each AR, but no AR), a collection of landfalling Antarctic ARs, and a subset of high-impact ARs defined by highest attributable precipitaiton. This dataset includes the timestep, central longitude, and precipitation information for each of the timesteps in these three categories. Gelaro, R., McCarty, W., Suarez, M.J., Todling, R., Molod, A., Takacs, L., Zhao, B. (2017). The modern-era retrospective analysis for research and application, version 2 (MERRA-2). Journal of Climate, 30(14). doi: 10.1175/JCLI-D-16-0758.1 ...
format Dataset
author Baiman, Rebecca
spellingShingle Baiman, Rebecca
Discriminators of Antarctic Atmospheric River Environments ...
author_facet Baiman, Rebecca
author_sort Baiman, Rebecca
title Discriminators of Antarctic Atmospheric River Environments ...
title_short Discriminators of Antarctic Atmospheric River Environments ...
title_full Discriminators of Antarctic Atmospheric River Environments ...
title_fullStr Discriminators of Antarctic Atmospheric River Environments ...
title_full_unstemmed Discriminators of Antarctic Atmospheric River Environments ...
title_sort discriminators of antarctic atmospheric river environments ...
publisher University of Colorado Boulder
publishDate 2023
url https://dx.doi.org/10.25810/7g6f-nz02
https://scholar.colorado.edu/concern/datasets/jw827d12x
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
ENVELOPE(-145.700,-145.700,-86.450,-86.450)
geographic Antarctic
Merra
Suarez
geographic_facet Antarctic
Merra
Suarez
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_doi https://doi.org/10.25810/7g6f-nz02
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