Articles | Volume 15, issue 20
https://doi.org/10.5194/acp-15-11789-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-11789-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Oct 2015
Research article |
| 23 Oct 2015
Implications of carbon monoxide bias for methane lifetime and atmospheric composition in chemistry climate models
GESTAR, Universities Space Research Association, Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
B. N. Duncan
NASA Goddard Space Flight Center, Greenbelt, MD, USA
E. A. Yegorova
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, College Park, MD, USA
now at: Nuclear Regulatory Commission, Rockville, MD, USA
J. Kouatchou
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications Inc., Lanham, MD, USA
J. R. Ziemke
NASA Goddard Space Flight Center, Greenbelt, MD, USA
GESTAR, Morgan State University, Baltimore, MD, USA
A. R. Douglass
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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43 citations as recorded by crossref.
- An observationally constrained evaluation of the oxidative capacity in the tropical western Pacific troposphere J. Nicely et al. 10.1002/2016JD025067
- How Will Air Quality Change in South Asia by 2050? R. Kumar et al. 10.1002/2017JD027357
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- Carbon monoxide profile variability over the Manaus Metropolitan Region and its relations with biomass burning R. Signori et al. 10.5327/Z2176-94781534
- Revisiting regional and seasonal variations in decadal carbon monoxide variability: Global reversal of growth rate A. Patel et al. 10.1016/j.scitotenv.2023.168476
- Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period Y. Zhao et al. 10.5194/acp-19-13701-2019
- Large‐Scale Atmospheric Transport in GEOS Replay Simulations C. Orbe et al. 10.1002/2017MS001053
- The TOMCAT global chemical transport model v1.6: description of chemical mechanism and model evaluation S. Monks et al. 10.5194/gmd-10-3025-2017
- Enhancing long-term trend simulation of the global tropospheric hydroxyl (TOH) and its drivers from 2005 to 2019: a synergistic integration of model simulations and satellite observations A. Souri et al. 10.5194/acp-24-8677-2024
- Re-injection off-axis integrated cavity output spectroscopy for the simultaneous detection of N2O, H2O and CO with a mid-infrared QCL laser X. Yang et al. 10.1039/D3AN02116E
- Quantifying the causes of differences in tropospheric OH within global models J. Nicely et al. 10.1002/2016JD026239
- Chemical Feedback From Decreasing Carbon Monoxide Emissions B. Gaubert et al. 10.1002/2017GL074987
- Toward a chemical reanalysis in a coupled chemistry‐climate model: An evaluation of MOPITT CO assimilation and its impact on tropospheric composition B. Gaubert et al. 10.1002/2016JD024863
- Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. 10.1029/2021MS002982
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- Tropospheric transport differences between models using the same large‐scale meteorological fields C. Orbe et al. 10.1002/2016GL071339
- A machine learning methodology for the generation of a parameterization of the hydroxyl radical D. Anderson et al. 10.5194/gmd-15-6341-2022
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- Nitrogen Oxides Emissions, Chemistry, Deposition, and Export Over the Northeast United States During the WINTER Aircraft Campaign L. Jaeglé et al. 10.1029/2018JD029133
- The trilemma of sustainable industrial growth: evidence from a piloting OECD’s Green city Q. Vuong et al. 10.1057/s41599-019-0369-8
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- Remote Aerosol Simulated During the Atmospheric Tomography (ATom) Campaign and Implications for Aerosol Lifetime C. Gao et al. 10.1029/2022JD036524
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Latest update: 21 Nov 2024
Short summary
A low bias in carbon monoxide (CO) at northern latitudes is a common feature of chemistry climate models. We find that increasing Northern Hemisphere (NH) CO emissions or reducing NH OH concentrations improves the agreement with CO surface observations, but reducing NH OH leads to a better comparison with MOPITT. Removing model biases in ozone and water vapor increases the simulated methane lifetime, but it does not give the 20% reduction in NH OH suggested by our analysis of the CO bias.
A low bias in carbon monoxide (CO) at northern latitudes is a common feature of chemistry...
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