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 approach...
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Copernicus Publications
2022
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00060761 2023-05-15T13:49:21+02:00 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 2022-04 electronic https://doi.org/10.5194/essd-14-1901-2022 https://noa.gwlb.de/receive/cop_mods_00060761 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060341/essd-14-1901-2022.pdf https://essd.copernicus.org/articles/14/1901/2022/essd-14-1901-2022.pdf eng eng Copernicus Publications Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516 https://doi.org/10.5194/essd-14-1901-2022 https://noa.gwlb.de/receive/cop_mods_00060761 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060341/essd-14-1901-2022.pdf https://essd.copernicus.org/articles/14/1901/2022/essd-14-1901-2022.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/essd-14-1901-2022 2022-05-01T23:09:44Z 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 Niedersächsisches Online-Archiv NOA Dronning Maud Land East Antarctica Earth System Science Data 14 4 1901 1916 |
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Open Polar |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung 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 |
article Verlagsveröffentlichung |
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. |
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 Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/essd-14-1901-2022 https://noa.gwlb.de/receive/cop_mods_00060761 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060341/essd-14-1901-2022.pdf https://essd.copernicus.org/articles/14/1901/2022/essd-14-1901-2022.pdf |
geographic |
Dronning Maud Land East Antarctica |
geographic_facet |
Dronning Maud Land East Antarctica |
genre |
Antarc* Antarctica Dronning Maud Land East Antarctica |
genre_facet |
Antarc* Antarctica Dronning Maud Land East Antarctica |
op_relation |
Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516 https://doi.org/10.5194/essd-14-1901-2022 https://noa.gwlb.de/receive/cop_mods_00060761 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060341/essd-14-1901-2022.pdf https://essd.copernicus.org/articles/14/1901/2022/essd-14-1901-2022.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
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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1766251222788997120 |