Data set: Monthly averaged RACMO2.3p2 variables; Antarctica ...
This is a data set of monthly averaged variables simulated by the hydrostatic regional atmospheric climate model RACMO2.3p2 over Antarctica. At the lateral and ocean boundaries the model is forced by ERA5 reanalysis data every 3 hours from 1979-2022. The model is run at a horizontal resolution of 27...
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Online Access: | https://dx.doi.org/10.5281/zenodo.7760491 https://zenodo.org/record/7760491 |
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ftdatacite:10.5281/zenodo.7760491 2023-06-11T04:04:45+02:00 Data set: Monthly averaged RACMO2.3p2 variables; Antarctica ... Van Wessem, Jan Melchior Van De Berg, Willem Jan Van Den Broeke, Michiel Roland 2023 https://dx.doi.org/10.5281/zenodo.7760491 https://zenodo.org/record/7760491 unknown Zenodo https://dx.doi.org/10.5281/zenodo.7760490 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 RACMO2.3p2 Antarctica Climate model Regional climate model Climate Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.776049110.5281/zenodo.7760490 2023-05-02T10:22:28Z This is a data set of monthly averaged variables simulated by the hydrostatic regional atmospheric climate model RACMO2.3p2 over Antarctica. At the lateral and ocean boundaries the model is forced by ERA5 reanalysis data every 3 hours from 1979-2022. The model is run at a horizontal resolution of 27 km and 40 vertical levels for the entire Antarctic ice sheet, which constitutes an update of the simulation forced from 1979-2018 by ERA-Interim reported in van Wessem et al., 2018. Upper air relaxation of wind, humidity and temperature is also active (Van de Berg et al., 2016). This version of the model is specifically applied to the polar regions by interactive coupling to a multilayer snow model that calculates melt, refreezing, percolation and runoff of meltwater (Ettema et al., 2010). In addition, snow albedo is calculated through a prognostic scheme for snow grain size (Kuipers Munneke et al., 2011) while a drifting snow scheme simulates the interaction of the near-surface air with drifting snow (Lenaerts ... : {"references": ["Van Wessem, J. M., van de Berg, W. J., No\u00ebl, B. P. Y., van Meijgaard, E., Birnbaum, G., Jakobs, C. L., et al. (2018). Modelling the climate and surface mass balance of polar ice sheets using RACMO2, part 2: Antarctica (1979\u20132016). The Cryosphere, 2018, 1\u201335. doi:10.5194/tc-2017-202. issn:1994-0440.", "Van de Berg, W. J., and Medley, B. (2016). Brief Communication: Upper-air relaxation in RACMO2 significantly improves modelled interannual surface mass balance variability in Antarctica. The Cryosphere, 10(1), 459\u2013463. doi:10.5194/tc-10-459-2016. issn:1994-0424.", "Ettema, J., Van den Broeke, M. R., Van Meijgaard, E., Van de Berg, W. J., Box, J. E., and Steffen, K. (2010). Climate of the Greenland ice sheet using a high-resolution climate model \u2013 Part 1: Evaluation. The Cryosphere, 4(4), 529\u2013544. doi:10.5194/tc-4-511-2010. issn:1994-0424.", "Van de Berg, W. J., and Medley, B. (2016). Brief Communication: Upper-air relaxation in RACMO2 significantly improves ... Dataset Antarc* Antarctic Antarctica Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Antarctic Greenland Medley ENVELOPE(-56.036,-56.036,-62.996,-62.996) Kuipers ENVELOPE(161.400,161.400,-77.900,-77.900) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
RACMO2.3p2 Antarctica Climate model Regional climate model Climate |
spellingShingle |
RACMO2.3p2 Antarctica Climate model Regional climate model Climate Van Wessem, Jan Melchior Van De Berg, Willem Jan Van Den Broeke, Michiel Roland Data set: Monthly averaged RACMO2.3p2 variables; Antarctica ... |
topic_facet |
RACMO2.3p2 Antarctica Climate model Regional climate model Climate |
description |
This is a data set of monthly averaged variables simulated by the hydrostatic regional atmospheric climate model RACMO2.3p2 over Antarctica. At the lateral and ocean boundaries the model is forced by ERA5 reanalysis data every 3 hours from 1979-2022. The model is run at a horizontal resolution of 27 km and 40 vertical levels for the entire Antarctic ice sheet, which constitutes an update of the simulation forced from 1979-2018 by ERA-Interim reported in van Wessem et al., 2018. Upper air relaxation of wind, humidity and temperature is also active (Van de Berg et al., 2016). This version of the model is specifically applied to the polar regions by interactive coupling to a multilayer snow model that calculates melt, refreezing, percolation and runoff of meltwater (Ettema et al., 2010). In addition, snow albedo is calculated through a prognostic scheme for snow grain size (Kuipers Munneke et al., 2011) while a drifting snow scheme simulates the interaction of the near-surface air with drifting snow (Lenaerts ... : {"references": ["Van Wessem, J. M., van de Berg, W. J., No\u00ebl, B. P. Y., van Meijgaard, E., Birnbaum, G., Jakobs, C. L., et al. (2018). Modelling the climate and surface mass balance of polar ice sheets using RACMO2, part 2: Antarctica (1979\u20132016). The Cryosphere, 2018, 1\u201335. doi:10.5194/tc-2017-202. issn:1994-0440.", "Van de Berg, W. J., and Medley, B. (2016). Brief Communication: Upper-air relaxation in RACMO2 significantly improves modelled interannual surface mass balance variability in Antarctica. The Cryosphere, 10(1), 459\u2013463. doi:10.5194/tc-10-459-2016. issn:1994-0424.", "Ettema, J., Van den Broeke, M. R., Van Meijgaard, E., Van de Berg, W. J., Box, J. E., and Steffen, K. (2010). Climate of the Greenland ice sheet using a high-resolution climate model \u2013 Part 1: Evaluation. The Cryosphere, 4(4), 529\u2013544. doi:10.5194/tc-4-511-2010. issn:1994-0424.", "Van de Berg, W. J., and Medley, B. (2016). Brief Communication: Upper-air relaxation in RACMO2 significantly improves ... |
format |
Dataset |
author |
Van Wessem, Jan Melchior Van De Berg, Willem Jan Van Den Broeke, Michiel Roland |
author_facet |
Van Wessem, Jan Melchior Van De Berg, Willem Jan Van Den Broeke, Michiel Roland |
author_sort |
Van Wessem, Jan Melchior |
title |
Data set: Monthly averaged RACMO2.3p2 variables; Antarctica ... |
title_short |
Data set: Monthly averaged RACMO2.3p2 variables; Antarctica ... |
title_full |
Data set: Monthly averaged RACMO2.3p2 variables; Antarctica ... |
title_fullStr |
Data set: Monthly averaged RACMO2.3p2 variables; Antarctica ... |
title_full_unstemmed |
Data set: Monthly averaged RACMO2.3p2 variables; Antarctica ... |
title_sort |
data set: monthly averaged racmo2.3p2 variables; antarctica ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.7760491 https://zenodo.org/record/7760491 |
long_lat |
ENVELOPE(-56.036,-56.036,-62.996,-62.996) ENVELOPE(161.400,161.400,-77.900,-77.900) |
geographic |
Antarctic Greenland Medley Kuipers |
geographic_facet |
Antarctic Greenland Medley Kuipers |
genre |
Antarc* Antarctic Antarctica Greenland Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica Greenland Ice Sheet |
op_relation |
https://dx.doi.org/10.5281/zenodo.7760490 |
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_doi |
https://doi.org/10.5281/zenodo.776049110.5281/zenodo.7760490 |
_version_ |
1768390451607371776 |