EGU23-2824, updated on 09 May 2023
https://doi.org/10.5194/egusphere-egu23-2824
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Calibrating Surface Mass Balance Models at the Monte Sarmiento Massif, Tierra del Fuego

Franziska Temme1, David Farías-Barahona1,2, Thorsten Seehaus1, Ricardo Jaña3, Jorge Arigony-Neto4,5, Inti Gonzalez6,7, Anselm Arndt8, Tobias Sauter8, Christoph Schneider8, and Johannes J. Fürst1
Franziska Temme et al.
  • 1Institut für Geographie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (franziska.temme@fau.de)
  • 2Departamento de Geografía, Universidad de Concepción, Concepción, Chile
  • 3Departamento Científico, Instituto Antártico Chileno, Punta Arenas, Chile
  • 4Instituto de Oceanografia, Universidade Federal do Rio Grande, Rio Grande, Brazil
  • 5Instituto Nacional de Ciência e Tecnologia da Criosfera, Brazil
  • 6Centro de Estudios del Cuaternario de Fuego-Patagonia y Antárctica, Punta Arenas, Chile
  • 7Programa Doctorado Ciencias Antárticas y Subantárticas, Universidad de Magallanes, Punta Arenas, Chile
  • 8Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany

Similar to the Patagonian Icefields, the Cordillera Darwin Icefield in Tierra del Fuego experienced important ice loss during the last decades. The difficult accessibility and the harsh weather conditions in that area result in scarce in-situ observations of climatic conditions and glacier mass balances. Under these challenging conditions, this study investigates calibration strategies of surface mass balance models in the Monte Sarmiento Massif, western Cordillera Darwin, with the goal to achieve realistic simulations of the regional surface mass balance in the period 2000-2022.

We apply three calibration strategies ranging from a local single-glacier calibration to a regional calibration with and without the inclusion of a snowdrift parametrization. Furthermore, we apply four models of different complexity ranging from an empirical degree-day model to a fully-fledged surface energy balance model. This way, we examine the model transferability in space, the benefit of including regional mass change observations as calibration constraint and the advantage of increasing the model complexity regarding included processes. In-situ measurements comprise ablation stakes, ice thickness surveys and weather station records at Schiaparelli Glacier as well as elevation changes and flow velocity from satellite data for the entire study site. Performance of simulated surface mass balance is validated against geodetic mass changes and stake observations of surface melting.

Results show that transferring mass balance models in space is a challenge, and common practices can produce distinctly biased estimates. The use of remotely sensed regional observations can significantly improve model performance. Increasing the complexity level of the model does not result in a clear improvement in our case where all four models perform similarly. Including the process of snowdrift, however, significantly increases the agreement with geodetic mass balances. This highlights the important role of snowdrift for the surface mass balance in the Cordillera Darwin, where strong and consistent westerly winds prevail.

How to cite: Temme, F., Farías-Barahona, D., Seehaus, T., Jaña, R., Arigony-Neto, J., Gonzalez, I., Arndt, A., Sauter, T., Schneider, C., and Fürst, J. J.: Calibrating Surface Mass Balance Models at the Monte Sarmiento Massif, Tierra del Fuego, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-2824, https://doi.org/10.5194/egusphere-egu23-2824, 2023.