The distribution of tropospheric ozone (O3) globally depends on the emission of precursors (e.g., NOx), chemistry, and transport. In this study, we quantify the response of radiative forcing over 20- and 100-year time scales, to O3 and methane (CH4) perturbations caused by a marginal increase (0.1 Tg N) in anthropogenic emissions of NOx in January and July from 21 (10° × 10° grid) geographical locations in North America. Changes in the perturbations have been calculated with the global climate-chemistry transport model STOCHEM. Addition of NOx emissions led to an initial increase in global O3 burdens up to 0.9 Tg, which decayed after 4 months. Global CH4 burdens decreased (by increasing OH) by up to –0.7 Tg and decayed gradually after 6 months. Global radiative forcings resulting from the regional emission increases were calculated, accounting for changes in both O3 (using an offline radiation code) and CH4 (using a simple conversion of 0.37 mW m⁻² ppb⁻1, assuming that CH4 is well mixed in the atmosphere). Our results revealed that O3-induced time-integrated radiative forcings exhibit both positive (initial) and negative (long-term) phases in the two (20- and 100-year) time horizons. For the positive phase, both the 20- and 100-year time periods peaked at 0.454 mW m⁻² yr; however, for the negative phase, the 20-year peaked at –0.246 mW m⁻² yr and the 100-year peaked at –0.300 mW m⁻² yr. CH4, on the other hand, showed a single negative phase which peaked at –1.070 mW m⁻² yr for the 20-year time period and –1.302 mW m⁻² yr for the 100-year time period. The total net radiative forcings (assuming a linear additive for relatively small perturbations) of the CH4 term and the two O3 terms over a 100-year time period from all 21 locations produce a net climate cooling effect (negative forcings), irrespective of the season of the emission pulses. However, over a 20-year time period in winter, some emission pulses at low latitudes produce a net climate warming effect (positive forcings). Both the O3 and CH4 burdens and the associated radiative forcings depend strongly on the geographical location as well as the season of the emission pulses. They are most sensitive to emissions from low latitudes and least sensitive to emissions from mid-latitudes and high latitudes.
| Published in | International Journal of Atmospheric and Oceanic Sciences (Volume 10, Issue 1) |
| DOI | 10.11648/j.ijaos.20261001.11 |
| Page(s) | 1-12 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Radiative Forcing, Ozone, Methane, Chemistry Transport Model, Climate Model, Nitrogen Oxides, Lagrangian Model
Region | D-CH4 ppbv yr | D-O3 (short) ppbv yr | D-O3 (long) ppbv yr |
|---|---|---|---|
Washington | -0.412, -0.637 | 0.012, 0.005 | -0.002, -0.002 |
Idaho | -0.227, -0.681 | 0.007, 0.007 | -0.001, -0.003 |
Montana | -0.211, -0.743 | 0.006, 0.007 | -0.001, -0.003 |
Minnesota | -0.229, -0.658 | 0.007, 0.007 | -0.001, -0.003 |
Ontario | -0.203, -0.715 | 0.006, 0.008 | -0.001, -0.003 |
Quebec | -0.285, -0.733 | 0.008, 0.009 | -0.001, -0.003 |
New Brunswick | -0.447, -0.862 | 0.013, 0.011 | -0.002, -0.003 |
Newfoundland | -0.522, -0.893 | 0.014, 0.010 | -0.002, -0.003 |
California | -0.544, -1.153 | 0.013, 0.006 | -0.002, -0.004 |
Nevada | -0.222, -0.723 | 0.005, 0.006 | -0.001, -0.003 |
Colorado | -0.202, -0.933 | 0.006, 0.007 | -0.001, -0.004 |
Kansas | -0.270, -0.530 | 0.008, 0.004 | -0.001, -0.002 |
Kentucky | -0.316, -0.636 | 0.009, 0.006 | -0.001, -0.002 |
Washington DC | -0.456, -0.811 | 0.012, 0.007 | -0.002, -0.003 |
Mexico 1 | -0.653, -1.206 | 0.005, 0.005 | -0.003, -0.005 |
Mexico 2 | -0.279, -1.626 | 0.006, 0.009 | -0.001, -0.006 |
Texas | -0.430, -1.086 | 0.011, 0.006 | -0.002, -0.004 |
Florida | -0.623, -1.051 | 0.015, 0.006 | -0.002, -0.004 |
Mexico 3 | -1.159, -2.893 | 0.010, 0.014 | -0.004, -0.011 |
Mexico 4 | -0.802, -2.545 | 0.008, 0.014 | -0.003, -0.010 |
Honduras | -0.999, -2.582 | 0.012, 0.014 | -0.004, -0.010 |
Region | D-CH4 ppbv yr | D-O3 (short) ppbv yr | D-O3 (long) ppbv yr |
|---|---|---|---|
Washington | -0.502, -0.775 | 0.012, 0.005 | -0.002, -0.003 |
Idaho | -0.277, -0.828 | 0.007, 0.007 | -0.001, -0.003 |
Montana | -0.257, -0.904 | 0.006, 0.007 | -0.001, -0.003 |
Minnesota | -0.278, -0.801 | 0.007, 0.007 | -0.001, -0.003 |
Ontario | -0.247, -0.871 | 0.006, 0.008 | -0.001, -0.003 |
Quebec | -0.347, -0.892 | 0.008, 0.009 | -0.001, -0.003 |
New Brunswick | -0.544, -1.049 | 0.013, 0.011 | -0.002, -0.004 |
Newfoundland | -0.635, -1.087 | 0.014, 0.010 | -0.002, -0.004 |
California | -0.662, -1.403 | 0.013, 0.006 | -0.003, -0.005 |
Nevada | -0.270, -0.880 | 0.005, 0.006 | -0.001, -0.003 |
Colorado | -0.246, -1.135 | 0.006, 0.007 | -0.001, -0.004 |
Kansas | -0.329, -0.645 | 0.008, 0.004 | -0.001, -0.002 |
Kentucky | -0.384, -0.774 | 0.009, 0.006 | -0.001, -0.003 |
Washington DC | -0.554, -0.987 | 0.012, 0.007 | -0.002, -0.004 |
Mexico 1 | -0.794, -1.468 | 0.005, 0.005 | -0.003, -0.006 |
Mexico 2 | -0.339, -1.978 | 0.006, 0.009 | -0.001, -0.008 |
Texas | -0.523, -1.322 | 0.011, 0.006 | -0.002, -0.005 |
Florida | -0.758, -1.279 | 0.015, 0.006 | -0.003, -0.005 |
Mexico 3 | -1.409, -3.520 | 0.010, 0.014 | -0.005, -0.014 |
Mexico 4 | -0.975, -3.097 | 0.008, 0.014 | -0.004, -0.012 |
Honduras | -1.214, -3.143 | 0.012, 0.014 | -0.005, -0.012 |
O3 | Ozone |
NOx & NOy | Nitrogen Oxides |
CH4 | Methane |
OH | Hydroxyl Radical |
Tg | Teragram |
IPCC | Intergovernmental Panel on Climate Change |
CO | Carbon Monoxide |
SO2 | Sulfur Dioxide |
H2 | Hydrogen |
UV | Ultraviolet |
VOC | Volatile Organic Compounds |
IIASA | International Institute for Applied Systems Analysis |
NASA | National Aeronautics and Space Administration |
EDGAR | Emissions Database for Global Atmospheric Research |
ppbv | Parts Per Billion by Volume |
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APA Style
Damoah, R. (2026). Time Integrated Radiative Forcing from North American NOX Emissions: Climate Effect over 20- and 100-year Time Scales. International Journal of Atmospheric and Oceanic Sciences, 10(1), 1-12. https://doi.org/10.11648/j.ijaos.20261001.11
ACS Style
Damoah, R. Time Integrated Radiative Forcing from North American NOX Emissions: Climate Effect over 20- and 100-year Time Scales. Int. J. Atmos. Oceanic Sci. 2026, 10(1), 1-12. doi: 10.11648/j.ijaos.20261001.11
@article{10.11648/j.ijaos.20261001.11,
author = {Richard Damoah},
title = {Time Integrated Radiative Forcing from North American NOX Emissions: Climate Effect over 20- and 100-year Time Scales},
journal = {International Journal of Atmospheric and Oceanic Sciences},
volume = {10},
number = {1},
pages = {1-12},
doi = {10.11648/j.ijaos.20261001.11},
url = {https://doi.org/10.11648/j.ijaos.20261001.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaos.20261001.11},
abstract = {The distribution of tropospheric ozone (O3) globally depends on the emission of precursors (e.g., NOx), chemistry, and transport. In this study, we quantify the response of radiative forcing over 20- and 100-year time scales, to O3 and methane (CH4) perturbations caused by a marginal increase (0.1 Tg N) in anthropogenic emissions of NOx in January and July from 21 (10° × 10° grid) geographical locations in North America. Changes in the perturbations have been calculated with the global climate-chemistry transport model STOCHEM. Addition of NOx emissions led to an initial increase in global O3 burdens up to 0.9 Tg, which decayed after 4 months. Global CH4 burdens decreased (by increasing OH) by up to –0.7 Tg and decayed gradually after 6 months. Global radiative forcings resulting from the regional emission increases were calculated, accounting for changes in both O3 (using an offline radiation code) and CH4 (using a simple conversion of 0.37 mW m⁻² ppb⁻1, assuming that CH4 is well mixed in the atmosphere). Our results revealed that O3-induced time-integrated radiative forcings exhibit both positive (initial) and negative (long-term) phases in the two (20- and 100-year) time horizons. For the positive phase, both the 20- and 100-year time periods peaked at 0.454 mW m⁻² yr; however, for the negative phase, the 20-year peaked at –0.246 mW m⁻² yr and the 100-year peaked at –0.300 mW m⁻² yr. CH4, on the other hand, showed a single negative phase which peaked at –1.070 mW m⁻² yr for the 20-year time period and –1.302 mW m⁻² yr for the 100-year time period. The total net radiative forcings (assuming a linear additive for relatively small perturbations) of the CH4 term and the two O3 terms over a 100-year time period from all 21 locations produce a net climate cooling effect (negative forcings), irrespective of the season of the emission pulses. However, over a 20-year time period in winter, some emission pulses at low latitudes produce a net climate warming effect (positive forcings). Both the O3 and CH4 burdens and the associated radiative forcings depend strongly on the geographical location as well as the season of the emission pulses. They are most sensitive to emissions from low latitudes and least sensitive to emissions from mid-latitudes and high latitudes.},
year = {2026}
}
TY - JOUR T1 - Time Integrated Radiative Forcing from North American NOX Emissions: Climate Effect over 20- and 100-year Time Scales AU - Richard Damoah Y1 - 2026/03/30 PY - 2026 N1 - https://doi.org/10.11648/j.ijaos.20261001.11 DO - 10.11648/j.ijaos.20261001.11 T2 - International Journal of Atmospheric and Oceanic Sciences JF - International Journal of Atmospheric and Oceanic Sciences JO - International Journal of Atmospheric and Oceanic Sciences SP - 1 EP - 12 PB - Science Publishing Group SN - 2640-1150 UR - https://doi.org/10.11648/j.ijaos.20261001.11 AB - The distribution of tropospheric ozone (O3) globally depends on the emission of precursors (e.g., NOx), chemistry, and transport. In this study, we quantify the response of radiative forcing over 20- and 100-year time scales, to O3 and methane (CH4) perturbations caused by a marginal increase (0.1 Tg N) in anthropogenic emissions of NOx in January and July from 21 (10° × 10° grid) geographical locations in North America. Changes in the perturbations have been calculated with the global climate-chemistry transport model STOCHEM. Addition of NOx emissions led to an initial increase in global O3 burdens up to 0.9 Tg, which decayed after 4 months. Global CH4 burdens decreased (by increasing OH) by up to –0.7 Tg and decayed gradually after 6 months. Global radiative forcings resulting from the regional emission increases were calculated, accounting for changes in both O3 (using an offline radiation code) and CH4 (using a simple conversion of 0.37 mW m⁻² ppb⁻1, assuming that CH4 is well mixed in the atmosphere). Our results revealed that O3-induced time-integrated radiative forcings exhibit both positive (initial) and negative (long-term) phases in the two (20- and 100-year) time horizons. For the positive phase, both the 20- and 100-year time periods peaked at 0.454 mW m⁻² yr; however, for the negative phase, the 20-year peaked at –0.246 mW m⁻² yr and the 100-year peaked at –0.300 mW m⁻² yr. CH4, on the other hand, showed a single negative phase which peaked at –1.070 mW m⁻² yr for the 20-year time period and –1.302 mW m⁻² yr for the 100-year time period. The total net radiative forcings (assuming a linear additive for relatively small perturbations) of the CH4 term and the two O3 terms over a 100-year time period from all 21 locations produce a net climate cooling effect (negative forcings), irrespective of the season of the emission pulses. However, over a 20-year time period in winter, some emission pulses at low latitudes produce a net climate warming effect (positive forcings). Both the O3 and CH4 burdens and the associated radiative forcings depend strongly on the geographical location as well as the season of the emission pulses. They are most sensitive to emissions from low latitudes and least sensitive to emissions from mid-latitudes and high latitudes. VL - 10 IS - 1 ER -