MASS2ANT Snowfall Dataset (Downscaling @5.5km over Dronning Maud Land, Antarctica, 1850 - 2014): Daily fields (Part 1)

• Main Authors: Ghilain, Nicolas, Vannitsem, Stephane, Dalaiden, Quentin, Goosse, Hugues, De Cruz, Lesley
• Format: Dataset
• Language: English
• Published: 2022
• Subjects: Snowfall; Antarctica; Downscaling; Surface Mass Balance; Dronning Maud Land; Antarc*; Ice Sheet
• Online Access: https://zenodo.org/record/6355455; https://doi.org/10.5281/zenodo.6355455

We provide in this dataset maps at 5.5 km resolution of the daily and yearly accumulated snowfall over emerged land (Ice Sheet) of Dronning Maud Land (Antarctica) from 1850 to 2014. We used a statistical method to derive fine resolution maps from GCM runs (CESM2, 10 runs). In the method, we searched for analogs in a database we constructed from the association between re-analyses large-scale meteorological fields (ERA5 and ERA-Interim) and RCM daily accumulated snowfall (RACMO2.3p5.5). RACMO2.3p5.5 data are available freely on request (https://www.projects.science.uu.nl/iceclimate/models/antarctica.php). CESM2 CMIP6 runs are also freely available (https://esgf-node.llnl.gov/search/cmip6/). The complete description of the algorithm and performance is described in: Ghilain N., Vannitsem S., Dalaiden Q., Goosse H., De Cruz L., Wei W., Reconstruction of daily snowfall accumulation at 5.5km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique, submitted to Earth System Science Data (ESSD). The MASS2ANT Snowfall dataset is composed of the annual estimations of snowfall over Dronning Maud Land, the daily time series for the total period for all the emerged grid points of the domain, the principal components time series and Empirical Orthogonal Functions (EOF) offering the possibility to analyze the synoptic weather patterns associated to snowfall over the ice sheet and the Principal Component weights (PCs) time series from the re-analysis in case one wants to extend or improve the database. Realistic weather patterns can be recomposed in associating (product of matrices) the PCs with the EOFs. Here (Daily fields - Part 1), we provide the daily snowfall time series resulting from the downscaling of the 7 first members of CESM2, using ERA5 and RACMO2.3p5.5 for training. The study was funded in the framework of the MASS2ANT project (\url{https://www.elic.ucl.ac.be/users/klein/Mass2Ant/index.html}, contract No BR/165/A2) by the Belgian Science Policy.