Articles | Volume 19, issue 1
https://doi.org/10.5194/acp-19-407-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-407-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Constraints and biases in a tropospheric two-box model of OH
Meteorology and Air Quality, Wageningen University and Research, Wageningen, the Netherlands
Stephen A. Montzka
NOAA Earth System Research Laboratory, Global Monitoring Division, Boulder, CO, USA
Sudhanshu Pandey
Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, the Netherlands
Netherlands Institute for Space Research SRON, Utrecht, the Netherlands
Sourish Basu
NOAA Earth System Research Laboratory, Global Monitoring Division, Boulder, CO, USA
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
Ed J. Dlugokencky
NOAA Earth System Research Laboratory, Global Monitoring Division, Boulder, CO, USA
Maarten Krol
Meteorology and Air Quality, Wageningen University and Research, Wageningen, the Netherlands
Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, the Netherlands
Netherlands Institute for Space Research SRON, Utrecht, the Netherlands
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Latest update: 14 Dec 2024
Short summary
We investigate how the use of a two-box model to describe the troposphere can impact derived results, relative to more complex models. For this, we use a 3-D transport model to tune a two-box model of OH, CH4, and MCF. By comparing the tuned two-box model with a standard model run, we can diagnose and quantify biases inherent to a two-box model. We find strong biases, but these have only a small impact on our final conclusions. However, it is not obvious that this should hold for future studies.
We investigate how the use of a two-box model to describe the troposphere can impact derived...
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