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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Bibliographic Details
Published in:Earth System Science Data
Main Authors: Ghilain, Nicolas, Vannitsem, Stéphane, Dalaiden, Quentin, Goosse, Hugues, De Cruz, Lesley, Wei, Wenguang
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
article
Verlagsveröffentlichung
Dronning Maud Land
East Antarctica
Antarc*
Antarctica
Online Access: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
Description
Summary: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.

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