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
Viewed
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 1,267 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,047
174
46
1,267
66
81
HTML: 1,047
PDF: 174
XML: 46
Total: 1,267
BibTeX: 66
EndNote: 81
Views and downloads (calculated since 04 Aug 2023)
Cumulative views and downloads
(calculated since 04 Aug 2023)
Total article views: 1,110 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
891
174
45
1,110
65
81
HTML: 891
PDF: 174
XML: 45
Total: 1,110
BibTeX: 65
EndNote: 81
Views and downloads (calculated since 16 Feb 2024)
Cumulative views and downloads
(calculated since 16 Feb 2024)
Total article views: 157 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
156
0
1
157
1
0
HTML: 156
PDF: 0
XML: 1
Total: 157
BibTeX: 1
EndNote: 0
Views and downloads (calculated since 04 Aug 2023)
Cumulative views and downloads
(calculated since 04 Aug 2023)
Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 1,267 (including HTML, PDF, and XML)
Thereof 1,229 with geography defined
and 38 with unknown origin.
Total article views: 1,110 (including HTML, PDF, and XML)
Thereof 1,075 with geography defined
and 35 with unknown origin.
Total article views: 157 (including HTML, PDF, and XML)
Thereof 154 with geography defined
and 3 with unknown origin.
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...