Peter Kuipers Munneke

NEW PAPER! Estimating Larsen C SMB

Using a lot of field data from several measurement campaigns between 2008 and 2015, we reconstruct spatial patterns of surface mass balance over the Larsen C ice shelf. We assimilate RACMO2 SMB to the available observations to show that SMB is highly variable: from 200 mm w.e. per year in the northeast to over 700 mm w.e. in the southwestern inlets.

Updated Greenland mass loss

Using the mass budget method, our new study in The Cryosphere shows that mass loss from the Greenland Ice Sheet has been 12 ± 6 mm since 1991, making it a major contributor to global mean sea level rise.

About me

I am a postdoctoral researcher in the field of glaciology and polar meteorology at the Institute for Marine and Atmospheric research Utrecht (IMAU), part of Utrecht University, The Netherlands.

Albedo research

Why albedo matters

The albedo of a particular surface is defined as the fraction of incoming solar radiation that is reflected by that surface. Snow has a very high albedo, and therefore, small changes in snow albedo have a profound effect on the net radiation budget of the snow surface. To illustrate this idea, suppose a snow surface with an albedo of 0.85. Now if the albedo drops by only 0.05, the amount of absorbed solar radiation increases from 0.15 to 0.20, a rise of 33 per cent. Combining models and observations, we can dig deeper into the causes of albedo variability.

Variability of Antarctic albedo

Spatial variability in Antarctic snow albedo is caused mainly by variations in the average snow grain size (see graph below). The larger the snow grains at the surface, the lower the albedo. Other mechanisms, like variations of solar zenith angle or constitution of atmospheric gases, are less important. I reached this conclusion in a paper published in JGR, concurrently using multi-year radiation observations from automatic weather stations, and a sophisticated radiative transfer model.

Annual cycle of effective snow grain size at five locations in Dronning Maud Land, Antarctica, derived from observations and radiative transfer modelling.

Radiation in the snowpack

Radiation that penetrates into the snowpack is partly absorbed below the surface, and will lead to a more rapid warming of the snow than when assuming that all radiation is absorbed at the surface. Using results from the Summit Radiation Experiment (SURE 07) and an energy balance model of the snowpack, we have quantified the role of radiation penetration in the thermodynamics of the snow in a paper that appeared in The Cryosphere in 2009.

Clouds over snow and ice surfaces

It is possible to obtain information on cloud optical thickness and longwave optical properties simultaneously from radiation measurements over snow and ice surfaces. Since both long- and shortwave properties correlate well, one quantity can be obtained when the other is missing. Or, cloud optical thickness can be computed in the absence of solar radiation itself, for example in polar winter nights. This research was published in the International Journal of Climatology.

Complex radiation field over snow in the presence of clouds.

Spectral snow albedo

During the Summit Radiation Experiment (SURE 07), we simultaneously measured spectral snow albedo and vertical profiles of snow grain size. It turns out that radiative transfer calculations agree well with observed spectral albedo curves when the observed snow grain size profiles are prescribed. It is important to correctly take into account the smallest snow grains in the top millimeter of the snow pack as they strongly influence spectral albedo in the near-infrared part of the solar spectrum. This is the subject of chapter 7 of my PhD thesis.

Albedo parameterization

The regional atmospheric model RACMO2 has been extended with a sophisticated albedo scheme, based on prognostic snow grain size, cloud thickness, and solar elevation. RACMO2 has now been run over Antarctica and Greenland, with the new snow physics implemented. A manuscript has been published in the Journal of Geophysical Research, showing the large improvement in simulating albedo due to the new parameterization. This is crucial for correct estimations of the surface mass balance, including snowmelt.

RACMO2 snow grain size (micron) in January. The prognostic snow grain size in RACMO2 is the basis for its new albedo parameterization.


These are listed on my publications page.