Water Science and Technology; Earth-Surface Processes
Abstract :
[en] Regional climate models compute ice sheet surface mass balance (SMB) over a mask that defines the area covered by glacier ice, but ice masks have not been harmonised between models. Intercomparison studies of modelled SMB therefore use a common ice mask. The SMB in areas outside the common ice mask, which are typically coastal and high-precipitation regions, is discarded. Ice mask differences change integrated SMB by between 40.5 and 140.6gGtgyr-1 (1.8g% to 6.0g% of ensemble mean SMB), equivalent to the entire Antarctic mass imbalance. We conclude there is a pressing need for a common ice mask protocol.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Hansen, Nicolaj ; Danish Meteorological Institute, Copenhagen, Denmark ; Geodesy and Earth Observation, DTU Space, Technical University of Denmark, Kongens Lyngby, Denmark
Simonsen, Sebastian B. ; Geodesy and Earth Observation, DTU Space, Technical University of Denmark, Kongens Lyngby, Denmark
Boberg, Fredrik; Danish Meteorological Institute, Copenhagen, Denmark
Kittel, Christoph ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Orr, Andrew; British Antarctic Survey, High Cross, Cambridge, United Kingdom
Souverijns, Niels ; Department of Earth and Environmental Sciences, KU Leuven, Leuven, Belgium ; Environmental Modelling Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
Van Wessem, J. Melchior ; Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands
Mottram, Ruth ; Danish Meteorological Institute, Copenhagen, Denmark
Language :
English
Title :
Brief communication: Impact of common ice mask in surface mass balance estimates over the Antarctic ice sheet
EU - European Union BELSPO - Belgian Federal Science Policy Office FWO - Fonds Wetenschappelijk Onderzoek Vlaanderen
Funding text :
Acknowledgements. Ruth Mottram and Fredrik Boberg acknowledge the support of the Danish state through the National Centre for Climate Research (NCKF). The COSMO-CLM2 team uses computational resources and services provided by the Flemish Supercomputer Center, funded by the FWO and the Flemish Government EWI department.Financial support. This project has received funding from the European Union’s Horizon 2020 research and innovation programme (PROTECT contribution number 29 (grant no. 869304)). The COSMO-CLM2 integrations were supported by the Belgian Science Policy Office (BELSPO (grant no. 747 BR/143/A2/AEROCLOUD)) and the Research Foundation – Flanders (FWO (grant nos. 748 G0C2215N and GOF5318N; EOS ID 30454083)).
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