Published April 4, 2023 | Version v1
Dataset Open

Surface mass balance of the Monte Sarmiento Massif (2000-2022), Tierra del Fuego, Chile.

  • 1. Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
  • 2. Universidad de Concepción, Concepción, Chile
  • 3. Instituto Antártico Chileno, Punta Arenas, Chile
  • 4. Universidade Federal do Rio Grande, Rio Grande, Brazil
  • 5. Universidad de Magallanes, Punta Arenas, Chile
  • 6. Humboldt-Universität zu Berlin, Berlin, Germany


This dataset contains the climatological input and the modelled surface mass balance of the Monte Sarmiento Massif, Tierra del Fuego, calculated with four different surface mass balance models. The climatological input is calculated by statistically downscaling ERA5 reanalysis data to a weather station at Schiaparelli Glacier via Quantile Mapping. The precipitation is simulated with an orographic precipitation model. The four applied surface mass balance models are a) a positive degree day model (PDD), b) a simplified energy balance model with potential radiation (SEBGpot) and c) with actual radiation including cloud cover and shading (SEBG), and d) a coupled snowpack and ice surface energy and mass balance model (COSIPY).



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  • Temme, F., Farías-Barahona, D., Seehaus, T., Jaña, R., Arigony-Neto, J., Gonzalez, I., Arndt, A., Sauter, T., Schneider, C., and Fürst, J. J.: Strategies for Regional Modelling of Surface Mass Balance at the Monte Sarmiento Massif, Tierra del Fuego, EGUsphere [preprint],, 2022.