One Step Closer to More Accurate Sea Level Rise Predictions?

Jeremy Bassis, an assistant professor in the Department of Atmospheric, Oceanic and Space Sciences at the University of Michigan, has developed a new theory to describe the calving from ice sheets and glaciers, which he says will bring scientists one step closer to understanding the impact of a warming climate on sea level rise.

The process of ice calving hasn’t been very well understood; however scientists believe iceberg calving accounts for roughly half of the mass loss from ice sheets. The new theory, detailed in a paper published the Journal of Glaciology, will fill an important gap in current models, which do not bring calving into account for the predictions. These models, says Bassis, “[…] cannot predict about half of the mass balance” whereas there are “[…] several prominent examples where calving is connected with speed-up of the ice-retreat process.”

What has been lacking “[…] is a way to quantify whether calving will increase or decrease in the future, and do it in a way that doesn't involve information from a particular glacier,” according to Bassis.  “We'd like to have a theory that explains how this happens for any regime and this is a step in that direction.”

Bassis' theory allows for a new way to predict the average iceberg calving rate and evaluate the possible fluctuations in a given region based on the stress within the ice and its thickness. By developing a more generalized model than existing ones, Bassis could contribute to reduce the margin of error in estimating future sea level rise.

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