Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 2: A semi-discrete error analysis framework for assessing coupling schemes
Christopher J. Vogl,Hui Wan,Carol S. Woodward,and Quan M. Bui
Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, California, USA
Quan M. Bui
Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, California, USA
now at: Blue River Technology, Sunnyvale, California, USA
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Total article views: 1,872 (including HTML, PDF, and XML)
Thereof 1,810 with geography defined
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Total article views: 1,715 (including HTML, PDF, and XML)
Thereof 1,656 with geography defined
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Total article views: 157 (including HTML, PDF, and XML)
Thereof 154 with geography defined
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Generally speaking, accurate climate simulation requires an accurate evolution of the underlying mathematical equations on large computers. The equations are typically formulated and evolved in process groups. Process coupling refers to how the evolution of each group is combined with that of other groups to evolve the full set of equations for the whole atmosphere. This work presents a mathematical framework to evaluate methods without the need to first implement the methods.
Generally speaking, accurate climate simulation requires an accurate evolution of the underlying...
