In Publications see an important study led by colleague Luke Trusel from WHOI in which he models the future of Antarctic ice shelves in relation to warming scenarios. This study featured on the cover of the December 2015 issue of Nature Geoscience!
Also in Publications see another exciting study led by colleague Stephen Cornford from BAS in which he models Antarctic ice sheet retreat.
I am a professor of Polar Meteorology at Utrecht University. My main research interest at present is to understand the past, present and future climate and mass balance of the large ice sheets of Greenland and Antarctica. I perform my research at the Institute for Marine and Atmospheric Research Utrecht (IMAU) in the Ice and Climate research group. Our group combines experimental fieldwork (in situ meteorological experiments, automatic weather stations and surface mass balance observations) with regional climate models, the latter in close collaboration with the research department of the Royal Netherlands Meteorological Institute (KNMI).
We operate a network of automatic weather stations (AWS) on glaciers: eight in Antarctica, four in west Greenland and several others in Svalbard, Norway and the European Alps. Data of these AWS enable us to close the surface energy balance and calculate melt intensity, helping us to improve our understanding of the melt process and its representation in our regional climate model. More information can be found on the IMAU AWS website and on the Projects page.
IMAU AWS near the ice margin in west Greenland, August 2010
The next step in the research process is to scale up the local AWS measurements in space and time. To that end we use a regional climate model (RACMO2), developed at the Royal Netherlands Meteorological Institute (KNMI) and adpated for use over ice sheets and larger ice caps. Major adaptations are the description of drifting snow, a prognostic snow albedo scheme, a background ice albedo for Greenland and subsurface processes in the snow/firn (meltwater penetration, retention and refreezing). Because RACMO2 is computationally too expensive for sensitivity tests, we have developed a high-resolution firn model for offline calculations. Forced with output of RACMO2 at its upper boundary, the model is used to optimize estimates of firn layer mass and depth. These data can be used to convert ice sheet volume change (as measured by altimeters onboard airplanes and satellite), to mass change. More information can be found on the Projects page.
Ice sheet surface mass balance (in mm water equivalent per year) from RACMO2