Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published January 13, 2021 | Version 1.0
Dataset Open

MASS2ANT Snowfall Dataset (Downscaling @5.5km over Dronning Maud Land, Antarctica, 1850 - 2014)

  • 1. Royal Meteorological Institute of Belgium
  • 2. UCLouvain, Earth&Life Institute

Description

MASS2ANT Snowfall Dataset: Information for users

November 2020

 

N. Ghilain1, S. Vannitsem1, Q. Dalaiden2, H. Goosse2, L. De Cruz1

1Royal Meteorological Institute, Uccle, Belgium

2UCLouvain, Earth and Life Institute, Louvain-la-Neuve, Belgium

 

contacts RMI: stephane.vannitsem@meteo.be, nicolas.ghilain@meteo.be, lesley.decruz@meteo.be

contacts UCLouvain: hugues.goosse@uclouvain.be, quentin.dalaiden@uclouvain.be

 

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 (2 files are given in example, the all set is available on zenodo: 10.5281/zenodo.6355455, 10.5281/zenodo.6359385, 10.5281/zenodo.6362299), 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

 

The method could be easily expanded to other sources (other GCM, other reference RCM or other reanalysis), and potentially for other parts of Antarctica. Samples of the programs used to generate this database are therefore also provided here.

Refer to MASS2ANT_Snowfall_Dataset_InfoUsers.pdf

 

Notes

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.

Files

MASS2ANT_Snowfall_Dataset_InfoUsers.pdf

Files (16.8 GB)

Name Size Download all
md5:0e9a3baeab14131a49a8c8a5f7d819e7
1.2 MB Download
md5:715e0110c369a7246fe2e0ec70ec6ef8
1.2 MB Download
md5:0588a1bafe6dfa1e14f28501463f8d54
193.2 MB Download
md5:68afd93e70e5c1b615455da28a8484a1
193.2 MB Download
md5:27a964498c1f34393b0491c2328bedf0
2.6 MB Download
md5:5b699a4c263994c103fc67c20b6aecbe
2.6 MB Download
md5:d26869de9e473b21cf4f109081beb3f6
7.1 GB Download
md5:5c013abbc80358b9cd402e0c8b1086cd
7.0 GB Download
md5:7a78864e67fd30e253dd37e11db84af9
64.6 kB Preview Download
md5:d46a04dc9ce6e7ef795f1ead36c93706
114.9 MB Download
md5:7acaa3469d4b063e0ca01d8d80300337
114.9 MB Download
md5:95d9dbc5a702bb2fc972adc8807f0cb5
114.9 MB Download
md5:c812ceab03faa88834c2df70e05f3b8b
114.9 MB Download
md5:11fc8d6fe1cd60bbc313abdda88d3bc4
114.9 MB Download
md5:1c2e55085787b384f1f7f7589da78a02
114.9 MB Download
md5:a9cc837386a3ec5e6fa1c3de9140f449
114.9 MB Download
md5:819ce74b89138a8f0590fba8c9e54201
114.9 MB Download
md5:4731eb3944dfe309ad12cf905cd8ee08
114.9 MB Download
md5:a90762145219f91b252ff17813de1d9d
114.9 MB Download
md5:0d6877e4b94f7e78d6c5736f99827c4a
114.9 MB Download
md5:4fb89ec298e9da3d1dd7dc00967cfc8f
114.9 MB Download
md5:86339da4cfda55b46880f7a05cf739e2
114.9 MB Download
md5:bef910fb31a8b15c2fb8c1a6546ec0cd
114.9 MB Download
md5:b54b51a8993f7b4601c1a43b064f61af
114.9 MB Download
md5:93a557b2c907ef6a622ad399c34bee46
114.9 MB Download
md5:3630c4680b8aa264352fba90d51cf82d
114.9 MB Download
md5:be0bb5731f498f2be48470c2cee9b0fb
114.9 MB Download
md5:102e91e80b0176a71bd1ea8e47d5baa3
114.9 MB Download
md5:d522fd5e94feb274f8c085021d554225
114.9 MB Download

Additional details

Related works

Has part
Dataset: 10.5281/zenodo.6355455 (DOI)
Dataset: 10.5281/zenodo.6359385 (DOI)
Dataset: 10.5281/zenodo.6362299 (DOI)