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Chemistry–Climate Modelling Initiative (CCMI) (ACP/AMT/ESSD/GMD...
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Differences in methane lifetime among global models are large and poorly understood. We use a neural network method and simulations from the Chemistry Climate Model Initiative to quantify the factors influencing methane lifetime spread among models and variations over time. UV photolysis, tropospheric ozone, and nitrogen oxides drive large model differences, while the same factors plus specific humidity contribute to a decreasing trend in methane lifetime between 1980 and 2015.
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ACP | Articles | Volume 20, issue 3
ACP | Articles | Volume 20, issue 3
Atmos. Chem. Phys., 20, 1341–1361, 2020
https://doi.org/10.5194/acp-20-1341-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Chemistry–Climate Modelling Initiative (CCMI) (ACP/AMT/ESSD/GMD...

Atmos. Chem. Phys., 20, 1341–1361, 2020
https://doi.org/10.5194/acp-20-1341-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
ACP | Articles | Volume 20, issue 3

Research article 05 Feb 2020

Research article | 05 Feb 2020

A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1

Julie M. Nicely et al.

Supplement

https://doi.org/10.5194/acp-20-1341-2020-supplement

Data sets

Full Results Accompanying A Machine Learning Examination of Hydroxyl Radical Differences Among Model Simulations for CCMI-1 J. M. Nicely, B. N. Duncan, T. F. Hanisco, G. M. Wolfe, R. J. Salawitch, M. Deushi, A. S. Haslerud, P. Jöckel, B. Josse, D. E. Kinnison, A. Klekociuk, M. E. Manyin, V. Marécal, O. Morgenstern, L. T. Murray, G. Myhre, L. D. Oman, G. Pitari, A. Pozzer, I. Quaglia, L. E. Revell, E. Rozanov, A. Stenke, K. Stone, S. Strahan, S. Tilmes, H. Tost, D. M. Westervelt, and G. Zeng https://doi.org/10.13016/vvbp-p6o8

CCMI-1 Data Archive CEDA Archive http://data.ceda.ac.uk/badc/wcrp-ccmi/data/CCMI-1/output

Climate Data at the National Center for Atmospheric Research Climate Data Gateway at NCAR https://www.earthsystemgrid.org/

BADC Data Access IGAC/SPARC http://blogs.reading.ac.uk/ccmi/badc-data-access/

Publications Copernicus
Special issue
Chemistry–Climate Modelling Initiative (CCMI) (ACP/AMT/ESSD/GMD...
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Short summary
Differences in methane lifetime among global models are large and poorly understood. We use a neural network method and simulations from the Chemistry Climate Model Initiative to quantify the factors influencing methane lifetime spread among models and variations over time. UV photolysis, tropospheric ozone, and nitrogen oxides drive large model differences, while the same factors plus specific humidity contribute to a decreasing trend in methane lifetime between 1980 and 2015.
Read more
Citation
Altmetrics
Final-revised paper
Preprint
Atmospheric Chemistry and Physics

An interactive open-access journal of the European Geosciences Union

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