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Accurate modelling of the climate is of paramount importance in developing strategies to mitigate the effects of climate change. The ocean is a crucial component of the climate and simulating accurate ocean conditions in climate models is therefore extremely important. However, the energy required to reach a high degree of accuracy in modelling the ocean is large. Smarter ways of thinking are required to reduce the energetic cost of modelling the ocean while still retaining a high degree of accuracy. This project will test a new method for modelling the Arctic Ocean which has a low energy cost. We will compare the results of a highly-accurate, high energy cost model, with that of the new method to determine if this method can produce accurate results at a fraction of the energetic cost. This new method may be used in future climate models depending on the outcome of this project.
Stephanie Waterman
University of Oxford
Earth science
Environmental Science and Technology; Sustainability & the Environment
The University of British Columbia
Globalink Research Award
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