Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica
We explore a methodology to statistically downscale snowfall – the primary driver of surface mass balance in Antarctica – from an ensemble of historical (1850–present day) simulations performed with an earth system model over the coastal region of Dronning Maud Land (East Antarctica). This app...
Published in: | Earth System Science Data |
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Copernicus GmbH
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Online Access: | http://hdl.handle.net/2078.1/260354 https://doi.org/10.5194/essd-14-1901-2022 |
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ftunivlouvain:oai:dial.uclouvain.be:boreal:260354 2024-05-12T07:56:39+00:00 Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica Ghilain, Nicolas Vannitsem, Stéphane Dalaiden, Quentin Goosse, Hugues De Cruz, Lesley Wei, Wenguang UCL - SST/ELI/ELIC - Earth & Climate 2022 http://hdl.handle.net/2078.1/260354 https://doi.org/10.5194/essd-14-1901-2022 eng eng Copernicus GmbH boreal:260354 http://hdl.handle.net/2078.1/260354 doi:10.5194/essd-14-1901-2022 urn:ISSN:1866-3508 urn:EISSN:1866-3516 info:eu-repo/semantics/openAccess Earth System Science Data, Vol. 14, no. 4, p. 1901-1916 (2022) General Earth and Planetary Sciences info:eu-repo/semantics/article 2022 ftunivlouvain https://doi.org/10.5194/essd-14-1901-2022 2024-04-17T16:35:00Z We explore a methodology to statistically downscale snowfall – the primary driver of surface mass balance in Antarctica – from an ensemble of historical (1850–present day) simulations performed with an earth system model over the coastal region of Dronning Maud Land (East Antarctica). This approach consists of associating daily snowfall simulations from a polar-oriented regional atmospheric climate model at 5.5 km spatial resolution with specific weather patterns observed over 1979–2010 CE with the atmospheric reanalyses ERA-Interim and ERA5. This association is then used to generate the spatial distribution of snowfall for the period from 1850 to present day for an ensemble of 10 members from the Community Earth System Model (CESM2). The new dataset of daily and yearly snowfall accumulation based on this methodology is presented in this paper (MASS2ANT dataset; https://doi.org/10.5281/zenodo.4287517; Ghilain et al., 2021). Based on a comparison with available ice cores and spatial reconstructions, our results show that the spatio-temporal distribution of snowfall is improved in the downscaled dataset compared with the CESM2 simulations. This dataset thus provides information that may be useful in identifying the large-scale patterns associated with the local precipitation conditions and their changes over the past century. Article in Journal/Newspaper Antarc* Antarctica Dronning Maud Land East Antarctica DIAL@UCLouvain (Université catholique de Louvain) East Antarctica Dronning Maud Land Earth System Science Data 14 4 1901 1916 |
institution |
Open Polar |
collection |
DIAL@UCLouvain (Université catholique de Louvain) |
op_collection_id |
ftunivlouvain |
language |
English |
topic |
General Earth and Planetary Sciences |
spellingShingle |
General Earth and Planetary Sciences Ghilain, Nicolas Vannitsem, Stéphane Dalaiden, Quentin Goosse, Hugues De Cruz, Lesley Wei, Wenguang Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica |
topic_facet |
General Earth and Planetary Sciences |
description |
We explore a methodology to statistically downscale snowfall – the primary driver of surface mass balance in Antarctica – from an ensemble of historical (1850–present day) simulations performed with an earth system model over the coastal region of Dronning Maud Land (East Antarctica). This approach consists of associating daily snowfall simulations from a polar-oriented regional atmospheric climate model at 5.5 km spatial resolution with specific weather patterns observed over 1979–2010 CE with the atmospheric reanalyses ERA-Interim and ERA5. This association is then used to generate the spatial distribution of snowfall for the period from 1850 to present day for an ensemble of 10 members from the Community Earth System Model (CESM2). The new dataset of daily and yearly snowfall accumulation based on this methodology is presented in this paper (MASS2ANT dataset; https://doi.org/10.5281/zenodo.4287517; Ghilain et al., 2021). Based on a comparison with available ice cores and spatial reconstructions, our results show that the spatio-temporal distribution of snowfall is improved in the downscaled dataset compared with the CESM2 simulations. This dataset thus provides information that may be useful in identifying the large-scale patterns associated with the local precipitation conditions and their changes over the past century. |
author2 |
UCL - SST/ELI/ELIC - Earth & Climate |
format |
Article in Journal/Newspaper |
author |
Ghilain, Nicolas Vannitsem, Stéphane Dalaiden, Quentin Goosse, Hugues De Cruz, Lesley Wei, Wenguang |
author_facet |
Ghilain, Nicolas Vannitsem, Stéphane Dalaiden, Quentin Goosse, Hugues De Cruz, Lesley Wei, Wenguang |
author_sort |
Ghilain, Nicolas |
title |
Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica |
title_short |
Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica |
title_full |
Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica |
title_fullStr |
Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica |
title_full_unstemmed |
Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica |
title_sort |
large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over dronning maud land, antarctica |
publisher |
Copernicus GmbH |
publishDate |
2022 |
url |
http://hdl.handle.net/2078.1/260354 https://doi.org/10.5194/essd-14-1901-2022 |
geographic |
East Antarctica Dronning Maud Land |
geographic_facet |
East Antarctica Dronning Maud Land |
genre |
Antarc* Antarctica Dronning Maud Land East Antarctica |
genre_facet |
Antarc* Antarctica Dronning Maud Land East Antarctica |
op_source |
Earth System Science Data, Vol. 14, no. 4, p. 1901-1916 (2022) |
op_relation |
boreal:260354 http://hdl.handle.net/2078.1/260354 doi:10.5194/essd-14-1901-2022 urn:ISSN:1866-3508 urn:EISSN:1866-3516 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/essd-14-1901-2022 |
container_title |
Earth System Science Data |
container_volume |
14 |
container_issue |
4 |
container_start_page |
1901 |
op_container_end_page |
1916 |
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1798836827098972160 |