Ward van Pelt


Pictures of our annual field campaigns to Svalbard can be found here.


  • SIOS conference on remote sensing in Svalbard [online; 4-5 Jun.; link]
  • IASC Network on Arctic Glaciology annual meeting [Obergurgl, Austria; 28-30 Jan.; link]
  • Snow4all workshop [Kiruna, Sweden; 14-16 Jan.]


An electronic copy of my PhD-thesis, defended in 2014, can be found here!

Energy balance - snow and firn model

The coupled energy balance – snow and firn model (EBFM; Van Pelt et al. 2012, 2019) is a physically-based routine that can simulate glacier surface and snow conditions. The model generates distributed and time-dependent output of glacier surface mass balance and runoff, as well as multi-layer snow properties including density, temperature and water content. Recent model extensions have enabled additional simulation of seasonal snow pack evolution in non-glacier terrain. Current and previous users of the model and its output include colleagues at Uppsala University, Stockholm University, Utrecht University, the Norwegian Polar Institute, Fribourg University, Oslo University, University of Washington, the University of Edinburgh, Oxford University, Norwegian Mapping Authority, Norwegian Water Resources and Energy Directorate. Applications of the model include modeling glacier surface and snow conditions in Svalbard, Greenland, the Canadian Arctic, the Alps, northern Sweden and High-Mountain Asia. A MATLAB version of the source code for glacier applications can be accessed here.