Articles | Volume 15, issue 16
https://doi.org/10.5194/gmd-15-6341-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6341-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
17 Aug 2022
Model description paper |
| 17 Aug 2022
| 17 Aug 2022
A machine learning methodology for the generation of a parameterization of the hydroxyl radical
Daniel C. Anderson
CORRESPONDING AUTHOR
GESTAR II, University of Maryland, Baltimore County, Baltimore, MD,
USA
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Melanie B. Follette-Cook
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
GESTAR II, Morgan State University, Baltimore, MD, USA
now at: Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Sarah A. Strode
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
GESTAR II, Morgan State University, Baltimore, MD, USA
Julie M. Nicely
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Junhua Liu
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
GESTAR II, Morgan State University, Baltimore, MD, USA
Peter D. Ivatt
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Bryan N. Duncan
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Viewed
Total article views: 3,331 (including HTML, PDF, and XML)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,434 | 825 | 72 | 3,331 | 186 | 54 | 63 |
- HTML: 2,434
- PDF: 825
- XML: 72
- Total: 3,331
- Supplement: 186
- BibTeX: 54
- EndNote: 63
Cumulative views and downloads
(calculated since 09 Mar 2022)
Total article views: 2,075 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Aug 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,497 | 533 | 45 | 2,075 | 105 | 42 | 54 |
- HTML: 1,497
- PDF: 533
- XML: 45
- Total: 2,075
- Supplement: 105
- BibTeX: 42
- EndNote: 54
Total article views: 1,256 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Mar 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 937 | 292 | 27 | 1,256 | 81 | 12 | 9 |
- HTML: 937
- PDF: 292
- XML: 27
- Total: 1,256
- Supplement: 81
- BibTeX: 12
- EndNote: 9
Viewed (geographical distribution)
Total article views: 3,331 (including HTML, PDF, and XML)
Thereof 3,101 with geography defined
and 230 with unknown origin.
Total article views: 2,075 (including HTML, PDF, and XML)
Thereof 1,988 with geography defined
and 87 with unknown origin.
Total article views: 1,256 (including HTML, PDF, and XML)
Thereof 1,113 with geography defined
and 143 with unknown origin.
| Country | # | Views | % |
|---|---|---|---|
| United States of America | 1 | 1181 | 35 |
| China | 2 | 937 | 28 |
| Germany | 3 | 183 | 5 |
| United Kingdom | 4 | 103 | 3 |
| India | 5 | 73 | 2 |
| Country | # | Views | % |
|---|---|---|---|
| United States of America | 1 | 794 | 38 |
| China | 2 | 499 | 24 |
| Germany | 3 | 132 | 6 |
| India | 4 | 70 | 3 |
| United Kingdom | 5 | 54 | 2 |
| Country | # | Views | % |
|---|---|---|---|
| China | 1 | 438 | 34 |
| United States of America | 2 | 387 | 30 |
| Germany | 3 | 51 | 4 |
| United Kingdom | 4 | 49 | 3 |
| undefined | 5 | 24 | 1 |
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
- 1181
1
1181
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
- 794
1
794
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
- 438
1
438
Cited
10 citations as recorded by crossref.
- Decoupling in the vertical shape of HCHO during a sea breeze event: The effect on trace gas satellite retrievals and column-to-surface translation A. Souri et al. 10.1016/j.atmosenv.2023.119929
- Opinion: Beyond global means – novel space-based approaches to indirectly constrain the concentrations of and trends and variations in the tropospheric hydroxyl radical (OH) B. Duncan et al. 10.5194/acp-24-13001-2024
- Climate and Tropospheric Oxidizing Capacity A. Fiore et al. 10.1146/annurev-earth-032320-090307
- Interannual changes in atmospheric oxidation over forests determined from space J. Shutter et al. 10.1126/sciadv.adn1115
- 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
- Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy D. Anderson et al. 10.5194/acp-23-6319-2023
- Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. 10.5194/gmd-17-2387-2024
- The application of machine learning to air pollution research: A bibliometric analysis Y. Li et al. 10.1016/j.ecoenv.2023.114911
- The impact of internal climate variability on OH trends between 2005 and 2014 Q. Zhu et al. 10.1088/1748-9326/ad4b47
- Feasibility of robust estimates of ozone production rates using a synergy of satellite observations, ground-based remote sensing, and models A. Souri et al. 10.5194/acp-25-2061-2025
10 citations as recorded by crossref.
- Decoupling in the vertical shape of HCHO during a sea breeze event: The effect on trace gas satellite retrievals and column-to-surface translation A. Souri et al. 10.1016/j.atmosenv.2023.119929
- Opinion: Beyond global means – novel space-based approaches to indirectly constrain the concentrations of and trends and variations in the tropospheric hydroxyl radical (OH) B. Duncan et al. 10.5194/acp-24-13001-2024
- Climate and Tropospheric Oxidizing Capacity A. Fiore et al. 10.1146/annurev-earth-032320-090307
- Interannual changes in atmospheric oxidation over forests determined from space J. Shutter et al. 10.1126/sciadv.adn1115
- 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
- Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy D. Anderson et al. 10.5194/acp-23-6319-2023
- Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. 10.5194/gmd-17-2387-2024
- The application of machine learning to air pollution research: A bibliometric analysis Y. Li et al. 10.1016/j.ecoenv.2023.114911
- The impact of internal climate variability on OH trends between 2005 and 2014 Q. Zhu et al. 10.1088/1748-9326/ad4b47
- Feasibility of robust estimates of ozone production rates using a synergy of satellite observations, ground-based remote sensing, and models A. Souri et al. 10.5194/acp-25-2061-2025
Latest update: 03 Jul 2025
Short summary
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.
The hydroxyl radical (OH) is the most important chemical in the atmosphere for removing certain...
