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Custom software speeds up, stabilizes high-pr

<p>Most modern ocean models focus on two categories of waves: a barotropic system, which has a fast wave propagation speed, and a baroclinic system, which has a slow wave propagation speed. To help address the challenge of simulating these two modes simultaneously, a team from DOE&rsquo;s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM&rsquo;s ocean circulation model, by 45%.&nbsp;</p>
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United States , Los Alamos , Elizabeth Rosenthal , Shyun Kang , International Journal Of High Performance Computing Applications , Sandia National Laboratories , Los Alamos National Laboratory , Environmental Research , Method Of Research , Scientific Computing Research , National Nuclear Security Administration , Office Of Science , Pacific Northwest National Laboratory , Energy Exascale Earth System Model , Prediction Across Scales Ocean , Ridge Leadership Computing Facility , Pacific Northwest National , Lawrence Berkeley National Laboratory , International Journal , High Performance Computing , Modeling Earth Systems , Exascale Computing Project , National Nuclear Security , Advanced Scientific Computing Research ,

Chinese Academy Constructs Advanced Dust Simulation Framework

Chinese Academy Constructs Advanced Dust Simulation Framework
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University Of Science , Chinese Academy Of Sciences , Technology Of China , Chinese Academy , Modeling Earth Systems ,

Machine Learning Provides a Clearer Window into Ocean Motion

A new method could translate satellite information about sea surface heights into insights on current, heat flow, and ultimately climate change. ....

Sarah Stanley , Modeling Earth Systems , Surface Water , Ocean Topography ,