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DOE announces $70 Million to improve climate modelling

The US Department of Energy (DOE) has announced $70 million in funding for seven projects that will improve climate prediction and support research into climate change.

US Secretary of Energy Jennifer Granholm comments: ‘Being able to understand and predict what is happening in a system as complex as planet Earth is crucial to finding solutions to climate change. The projects announced today will give university and National Lab researchers deep insight into our oceans, our air, and our climate and into how emissions are impacting the world around us right now and in the future.’

The research will be used to accelerate the development of DOE’s Energy Exascale Earth System Model (E3SM), enabling scientific discovery through collaborations between climate scientists, computer scientists, and applied mathematicians. Data from this model will enhance scientists’ understanding of climate change, which will be crucial to furthering President Biden’s commitment to tackling the climate crisis at home and abroad. 

The projects will be led by researchers at DOE’s Los Alamos National Laboratory and Pacific Northwest National Laboratory as well as the University of New Mexico.

E3SM is an ultra-high-resolution model of Earth that is run on exascale supercomputers—digital computers like the Frontier at Oak Ridge National Laboratory that are millions of times more powerful than modern personal computers. The model is constantly being improved to provide the best simulation and prediction possible to researchers in Earth system science.

The projects announced today will improve the E3SM by, for example, advancing simulations of ocean circulation in the Atlantic and developing a framework for modelling Antarctic systems.

The projects were selected through a competitive peer review process under the DOE Funding Opportunity Announcement for Scientific Discovery through Advanced Computing. Total funding is $70 million for projects lasting up to five years, with $14 million in Fiscal Year 2022 dollars and outyear funding contingent on congressional appropriations.

The list of projects and more information can be found here.


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