Antarctic continent MAR 6-hourly data

Modèle Atmosphérique Régionale (MAR), was utilized Wille et al. (2019; Nature Geoscience). Each file contains snowfall, run off, surface temperature, sublimation, and melt at six-hour timesteps. A description of MAR from Wille et al. (2019) follows as... "Modèle Atmosphérique Régionale (MAR), a...

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Main Authors: Agosta, Cécile, Fettweis, Xavier, Wille, Jonathan
Format: Dataset
Language:unknown
Published: Zenodo 2019
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.3362277
https://zenodo.org/record/3362277
id ftdatacite:10.5281/zenodo.3362277
record_format openpolar
spelling ftdatacite:10.5281/zenodo.3362277 2023-05-15T13:42:04+02:00 Antarctic continent MAR 6-hourly data Agosta, Cécile Fettweis, Xavier Wille, Jonathan 2019 https://dx.doi.org/10.5281/zenodo.3362277 https://zenodo.org/record/3362277 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3362276 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY dataset Dataset 2019 ftdatacite https://doi.org/10.5281/zenodo.3362277 https://doi.org/10.5281/zenodo.3362276 2021-11-05T12:55:41Z Modèle Atmosphérique Régionale (MAR), was utilized Wille et al. (2019; Nature Geoscience). Each file contains snowfall, run off, surface temperature, sublimation, and melt at six-hour timesteps. A description of MAR from Wille et al. (2019) follows as... "Modèle Atmosphérique Régionale (MAR), a regional climate model (RCM) run at a 35 x 35 km2 horizontal resolution over the whole Antarctic continent with a 120 second time step and outputs every six hours. The MAR RCM includes the multi-layer snow model Crocus, which calculates meltwater at the surface when it reaches the melting point in combination with a surplus of energy (a deficit results in refreezing). The presence of meltwater alters the snow characteristics, for example the type and size of snow-grains and the albedo. Percolation through the snowpack is determined through a tipping bucket method based on snow density. We use 30 snow or ice layers of variable thickness from the surface to a 20 m depth. This version of MAR has been extensively tested over the Antarctic ice sheet25 and recently utilized by the Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE) team." Agosta, C. et al. Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes. The Cryosphere 13, 281–296 (2019). Dataset Antarc* Antarctic Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Antarctic The Antarctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description Modèle Atmosphérique Régionale (MAR), was utilized Wille et al. (2019; Nature Geoscience). Each file contains snowfall, run off, surface temperature, sublimation, and melt at six-hour timesteps. A description of MAR from Wille et al. (2019) follows as... "Modèle Atmosphérique Régionale (MAR), a regional climate model (RCM) run at a 35 x 35 km2 horizontal resolution over the whole Antarctic continent with a 120 second time step and outputs every six hours. The MAR RCM includes the multi-layer snow model Crocus, which calculates meltwater at the surface when it reaches the melting point in combination with a surplus of energy (a deficit results in refreezing). The presence of meltwater alters the snow characteristics, for example the type and size of snow-grains and the albedo. Percolation through the snowpack is determined through a tipping bucket method based on snow density. We use 30 snow or ice layers of variable thickness from the surface to a 20 m depth. This version of MAR has been extensively tested over the Antarctic ice sheet25 and recently utilized by the Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE) team." Agosta, C. et al. Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes. The Cryosphere 13, 281–296 (2019).
format Dataset
author Agosta, Cécile
Fettweis, Xavier
Wille, Jonathan
spellingShingle Agosta, Cécile
Fettweis, Xavier
Wille, Jonathan
Antarctic continent MAR 6-hourly data
author_facet Agosta, Cécile
Fettweis, Xavier
Wille, Jonathan
author_sort Agosta, Cécile
title Antarctic continent MAR 6-hourly data
title_short Antarctic continent MAR 6-hourly data
title_full Antarctic continent MAR 6-hourly data
title_fullStr Antarctic continent MAR 6-hourly data
title_full_unstemmed Antarctic continent MAR 6-hourly data
title_sort antarctic continent mar 6-hourly data
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.3362277
https://zenodo.org/record/3362277
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
Ice Sheet
genre_facet Antarc*
Antarctic
Ice Sheet
op_relation https://dx.doi.org/10.5281/zenodo.3362276
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.3362277
https://doi.org/10.5281/zenodo.3362276
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