 |
| Titel |
Implementation of the chemistry module MECCA (v2.5) in the modal aerosol version of the Community Atmosphere Model component (v3.6.33) of the Community Earth System Model |
| VerfasserIn |
M. S. Long, W. C. Keene, R. Easter, R. Sander, A. Kerkweg, D. Erickson, X. Liu, S. Ghan |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1991-959X
|
| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 6, no. 1 ; Nr. 6, no. 1 (2013-02-22), S.255-262 |
| Datensatznummer |
250017790
|
| Publikation (Nr.) |
 copernicus.org/gmd-6-255-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| A coupled atmospheric chemistry and climate system model was developed using
the modal aerosol version of the National Center for Atmospheric Research
Community Atmosphere Model (modal-CAM; v3.6.33) and the Max Planck Institute
for Chemistry's Module Efficiently Calculating the Chemistry of the
Atmosphere (MECCA; v2.5) to provide enhanced resolution of multiphase
processes, particularly those involving inorganic halogens, and associated
impacts on atmospheric composition and climate. Three Rosenbrock solvers
(Ros-2, Ros-3, RODAS-3) were tested in conjunction with the basic load-balancing options available to modal-CAM (1) to establish an optimal
configuration of the implicitly-solved multiphase chemistry module that
maximizes both computational speed and repeatability of Ros-2 and RODAS-3
results versus Ros-3, and (2) to identify potential implementation strategies
for future versions of this and similar coupled systems. RODAS-3 was faster
than Ros-2 and Ros-3 with good reproduction of Ros-3 results, while Ros-2 was
both slower and substantially less reproducible relative to Ros-3 results.
Modal-CAM with MECCA chemistry was a factor of 15 slower than modal-CAM using
standard chemistry. MECCA chemistry integration times demonstrated a
systematic frequency distribution for all three solvers, and revealed that
the change in run-time performance was due to a change in the frequency
distribution of chemical integration times; the peak frequency was similar for
all solvers. This suggests that efficient chemistry-focused load-balancing
schemes can be developed that rely on the parameters of this frequency
distribution. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|