Improvement of the prediction of surface ozone concentration over conterminous U.S. by a computationally efficient second‐order Rosenbrock solver in CAM4‐Chem

Improvement of the prediction of surface ozone concentration over conterminous U.S. by a computationally efficient second‐order Rosenbrock solver in CAM4‐Chem

Abstract The global chemistry‐climate model (CAM4‐Chem) overestimates the surface ozone concentration over the conterminous U.S. (CONUS). Reasons for this positive bias include emission, meteorology, chemical mechanism, and solver. In this study, we explore the last possibility by examining the sens...

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Bibliographic Details
Main Authors: Jian Sun, Joshua S. Fu, John Drake, Jean‐Francois Lamarque, Simone Tilmes, Francis Vitt
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2017-03-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
second‐order Rosenbrock solver
first‐order implicit solver
time step
ozone
computational performance
Online Access:https://doi.org/10.1002/2016MS000863

Internet

https://doi.org/10.1002/2016MS000863

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