Articles | Volume 9, issue 2
https://doi.org/10.5194/gmd-9-799-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-799-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
26 Feb 2016
Development and technical paper |
| 26 Feb 2016
The description and validation of the computationally Efficient CH4–CO–OH (ECCOHv1.01) chemistry module for 3-D model applications
Yasin F. Elshorbany
CORRESPONDING AUTHOR
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, Maryland, USA
Bryan N. Duncan
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Sarah A. Strode
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Universities Space Research Association, Columbia, Maryland, USA
James S. Wang
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Universities Space Research Association, Columbia, Maryland, USA
Jules Kouatchou
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Science Systems and Applications Inc., Lanham, Maryland, USA
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The hydroxyl radical (OH) is the most important chemical in the atmosphere for removing certain pollutants, including methane, the second-most-important greenhouse gas. We present a methodology to create an easily modifiable parameterization that can calculate OH concentrations in a computationally efficient way. The parameterization, which predicts OH within 5 %, can be integrated into larger climate models to allow for calculation of the interactions between OH, methane, and other chemicals.
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Short summary
The ECCOH (pronounced "echo") chemistry module interactively simulates the photochemistry of the CH4–CO–OH system within a chemistry climate model, carbon cycle model, or Earth system model. The computational efficiency of the module allows many multi-decadal sensitivity simulations of the CH4–CO–OH system. This capability is important for capturing nonlinear feedbacks of the CH4–CO–OH system and understanding the perturbations to methane, CO, and OH and the concomitant climate impacts.
The ECCOH (pronounced "echo") chemistry module interactively simulates the photochemistry of the...
