Reconstruction of daily snowfall accumulation at 5.5 km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique

The surface mass balance (SMB) over the Antarctic Ice Sheet displays large temporal and spatial variations. Due to the complex Antarctic topography, modelling the climate at high resolution is crucial to accurately represent the dynamics of SMB. While ice core records provide a means to infer the SM...

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Main Authors: Ghilain, Nicolas, Vannitsem, Stéphane, Dalaiden, Quentin, Goosse, Hugues, Cruz, Lesley, Wei, Wenguang
Format: Text
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.5194/essd-2021-12
https://essd.copernicus.org/preprints/essd-2021-12/
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spelling ftcopernicus:oai:publications.copernicus.org:essdd92337 2023-05-15T13:31:40+02:00 Reconstruction of daily snowfall accumulation at 5.5 km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique Ghilain, Nicolas Vannitsem, Stéphane Dalaiden, Quentin Goosse, Hugues Cruz, Lesley Wei, Wenguang 2021-01-27 application/pdf https://doi.org/10.5194/essd-2021-12 https://essd.copernicus.org/preprints/essd-2021-12/ eng eng doi:10.5194/essd-2021-12 https://essd.copernicus.org/preprints/essd-2021-12/ eISSN: 1866-3516 Text 2021 ftcopernicus https://doi.org/10.5194/essd-2021-12 2021-02-01T17:21:49Z The surface mass balance (SMB) over the Antarctic Ice Sheet displays large temporal and spatial variations. Due to the complex Antarctic topography, modelling the climate at high resolution is crucial to accurately represent the dynamics of SMB. While ice core records provide a means to infer the SMB over centuries, the view is very spatially constrained. General circulation models (GCMs) estimate its spatial distribution over centuries, but with a resolution that is too coarse to capture the large variations due to local orographic effects. We have therefore explored a methodology to statistically downscale snowfall accumulation, the primary driver of SMB, from climate model historical simulations (1850–present day) over the coastal region of Dronning Maud Land. An analog method is set up over a period of 30 years with the ERA-Interim and ERA5 reanalyses (1979–2010 AD) and associated with snowfall daily accumulation forecasts from the Regional Atmospheric Climate Model (RACMO2.3) at 5.5 km spatial resolution over Dronning Maud in East Antarctica. The same method is then applied to the period from 1850 to present day using an ensemble of ten members from the CESM2 model. This method enables to derive a spatial distribution of the accumulation of snowfall, the principal driver of the SMB variability over the region. A 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)), along with comparisons with ice core data and available spatial reconstructions. It offers a more detailed spatio-temporal view of the changes over the past 150 years compared to other available datasets, allowing a possible connection with the ice core records, and provides information that may be useful in identifying the large-scale patterns associated to the local precipitation conditions and their changes over the past century. Text Antarc* Antarctic Antarctica Dronning Maud Land East Antarctica ice core Ice Sheet Copernicus Publications: E-Journals Antarctic Dronning Maud Land East Antarctica The Antarctic
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The surface mass balance (SMB) over the Antarctic Ice Sheet displays large temporal and spatial variations. Due to the complex Antarctic topography, modelling the climate at high resolution is crucial to accurately represent the dynamics of SMB. While ice core records provide a means to infer the SMB over centuries, the view is very spatially constrained. General circulation models (GCMs) estimate its spatial distribution over centuries, but with a resolution that is too coarse to capture the large variations due to local orographic effects. We have therefore explored a methodology to statistically downscale snowfall accumulation, the primary driver of SMB, from climate model historical simulations (1850–present day) over the coastal region of Dronning Maud Land. An analog method is set up over a period of 30 years with the ERA-Interim and ERA5 reanalyses (1979–2010 AD) and associated with snowfall daily accumulation forecasts from the Regional Atmospheric Climate Model (RACMO2.3) at 5.5 km spatial resolution over Dronning Maud in East Antarctica. The same method is then applied to the period from 1850 to present day using an ensemble of ten members from the CESM2 model. This method enables to derive a spatial distribution of the accumulation of snowfall, the principal driver of the SMB variability over the region. A 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)), along with comparisons with ice core data and available spatial reconstructions. It offers a more detailed spatio-temporal view of the changes over the past 150 years compared to other available datasets, allowing a possible connection with the ice core records, and provides information that may be useful in identifying the large-scale patterns associated to the local precipitation conditions and their changes over the past century.
format Text
author Ghilain, Nicolas
Vannitsem, Stéphane
Dalaiden, Quentin
Goosse, Hugues
Cruz, Lesley
Wei, Wenguang
spellingShingle Ghilain, Nicolas
Vannitsem, Stéphane
Dalaiden, Quentin
Goosse, Hugues
Cruz, Lesley
Wei, Wenguang
Reconstruction of daily snowfall accumulation at 5.5 km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique
author_facet Ghilain, Nicolas
Vannitsem, Stéphane
Dalaiden, Quentin
Goosse, Hugues
Cruz, Lesley
Wei, Wenguang
author_sort Ghilain, Nicolas
title Reconstruction of daily snowfall accumulation at 5.5 km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique
title_short Reconstruction of daily snowfall accumulation at 5.5 km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique
title_full Reconstruction of daily snowfall accumulation at 5.5 km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique
title_fullStr Reconstruction of daily snowfall accumulation at 5.5 km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique
title_full_unstemmed Reconstruction of daily snowfall accumulation at 5.5 km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique
title_sort reconstruction of daily snowfall accumulation at 5.5 km resolution over dronning maud land, antarctica, from 1850 to 2014 using an analog-based downscaling technique
publishDate 2021
url https://doi.org/10.5194/essd-2021-12
https://essd.copernicus.org/preprints/essd-2021-12/
geographic Antarctic
Dronning Maud Land
East Antarctica
The Antarctic
geographic_facet Antarctic
Dronning Maud Land
East Antarctica
The Antarctic
genre Antarc*
Antarctic
Antarctica
Dronning Maud Land
East Antarctica
ice core
Ice Sheet
genre_facet Antarc*
Antarctic
Antarctica
Dronning Maud Land
East Antarctica
ice core
Ice Sheet
op_source eISSN: 1866-3516
op_relation doi:10.5194/essd-2021-12
https://essd.copernicus.org/preprints/essd-2021-12/
op_doi https://doi.org/10.5194/essd-2021-12
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