Articles | Volume 16, issue 11
https://doi.org/10.5194/acp-16-7285-2016
© Author(s) 2016. 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-16-7285-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Jun 2016
Research article |
| 10 Jun 2016
Interpreting space-based trends in carbon monoxide with multiple models
Universities Space Research Association, Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Helen M. Worden
National Center for Atmospheric Research, Boulder, CO, USA
Megan Damon
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Anne R. Douglass
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Bryan N. Duncan
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Louisa K. Emmons
National Center for Atmospheric Research, Boulder, CO, USA
Jean-Francois Lamarque
National Center for Atmospheric Research, Boulder, CO, USA
Michael Manyin
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Luke D. Oman
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Jose M. Rodriguez
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Susan E. Strahan
Universities Space Research Association, Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Simone Tilmes
National Center for Atmospheric Research, Boulder, CO, USA
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Cited
26 citations as recorded by crossref.
- Large‐Scale Atmospheric Transport in GEOS Replay Simulations C. Orbe et al. 10.1002/2017MS001053
- Balance of Emission and Dynamical Controls on Ozone During the Korea‐United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation K. Miyazaki et al. 10.1029/2018JD028912
- Improved method for linear carbon monoxide simulation and source attribution in atmospheric chemistry models illustrated using GEOS-Chem v9 J. Fisher et al. 10.5194/gmd-10-4129-2017
- Chemical Feedback From Decreasing Carbon Monoxide Emissions B. Gaubert et al. 10.1002/2017GL074987
- Quantification of CO emissions from the city of Madrid using MOPITT satellite retrievals and WRF simulations I. Dekker et al. 10.5194/acp-17-14675-2017
- Global atmospheric carbon monoxide budget 2000–2017 inferred from multi-species atmospheric inversions B. Zheng et al. 10.5194/essd-11-1411-2019
- 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
- Changes in satellite retrievals of atmospheric composition over eastern China during the 2020 COVID-19 lockdowns R. Field et al. 10.5194/acp-21-18333-2021
- Exploring high-resolution near-surface CO concentrations based on Himawari-8 top-of-atmosphere radiation data: Assessing the distribution of city-level CO hotspots in China B. Chen et al. 10.1016/j.atmosenv.2023.120021
- Representativeness of the IAGOS airborne measurements in the lower troposphere H. Petetin et al. 10.1525/elementa.280
- Synergistic observation of FY-4A&4B to estimate CO concentration in China: combining interpretable machine learning to reveal the influencing mechanisms of CO variations B. Chen et al. 10.1038/s41612-023-00559-0
- A climate-scale satellite record for carbon monoxide: the MOPITT Version 7 product M. Deeter et al. 10.5194/amt-10-2533-2017
- Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: potentially overlooked CO hotspots in the Tibetan Plateau D. Liu et al. 10.5194/acp-19-12413-2019
- CO Fluxes in Western Europe during 2017–2020 Winter Seasons Inverted by WRF-Chem/Data Assimilation Research Testbed with MOPITT Observations Y. Huang et al. 10.3390/rs14051133
- On the role of trend and variability in the hydroxyl radical (OH) in the global methane budget Y. Zhao et al. 10.5194/acp-20-13011-2020
- Environmental effects of ozone depletion, UV radiation and interactions with climate change: UNEP Environmental Effects Assessment Panel, update 2017 A. Bais et al. 10.1039/c7pp90043k
- Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions R. Buchholz et al. 10.1016/j.rse.2020.112275
- New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes H. Worden et al. 10.5194/acp-19-13569-2019
- Rapid decline in carbon monoxide emissions and export from East Asia between years 2005 and 2016 B. Zheng et al. 10.1088/1748-9326/aab2b3
- Historical background and current developments for mapping burned area from satellite Earth observation E. Chuvieco et al. 10.1016/j.rse.2019.02.013
- Impact of land–water sensitivity contrast on MOPITT retrievals and trends over a coastal city I. Ashpole & A. Wiacek 10.5194/amt-13-3521-2020
- A 15-year record of CO emissions constrained by MOPITT CO observations Z. Jiang et al. 10.5194/acp-17-4565-2017
- Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. 10.1029/2021MS002982
- TROPESS-CrIS CO single-pixel vertical profiles: intercomparisons with MOPITT and model simulations for 2020 western US wildfires M. Luo et al. 10.5194/amt-17-2611-2024
- Interpol-IAGOS: a new method for assessing long-term chemistry–climate simulations in the UTLS based on IAGOS data, and its application to the MOCAGE CCMI REF-C1SD simulation Y. Cohen et al. 10.5194/gmd-14-2659-2021
- Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. 10.5194/acp-24-12225-2024
26 citations as recorded by crossref.
- Large‐Scale Atmospheric Transport in GEOS Replay Simulations C. Orbe et al. 10.1002/2017MS001053
- Balance of Emission and Dynamical Controls on Ozone During the Korea‐United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation K. Miyazaki et al. 10.1029/2018JD028912
- Improved method for linear carbon monoxide simulation and source attribution in atmospheric chemistry models illustrated using GEOS-Chem v9 J. Fisher et al. 10.5194/gmd-10-4129-2017
- Chemical Feedback From Decreasing Carbon Monoxide Emissions B. Gaubert et al. 10.1002/2017GL074987
- Quantification of CO emissions from the city of Madrid using MOPITT satellite retrievals and WRF simulations I. Dekker et al. 10.5194/acp-17-14675-2017
- Global atmospheric carbon monoxide budget 2000–2017 inferred from multi-species atmospheric inversions B. Zheng et al. 10.5194/essd-11-1411-2019
- 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
- Changes in satellite retrievals of atmospheric composition over eastern China during the 2020 COVID-19 lockdowns R. Field et al. 10.5194/acp-21-18333-2021
- Exploring high-resolution near-surface CO concentrations based on Himawari-8 top-of-atmosphere radiation data: Assessing the distribution of city-level CO hotspots in China B. Chen et al. 10.1016/j.atmosenv.2023.120021
- Representativeness of the IAGOS airborne measurements in the lower troposphere H. Petetin et al. 10.1525/elementa.280
- Synergistic observation of FY-4A&4B to estimate CO concentration in China: combining interpretable machine learning to reveal the influencing mechanisms of CO variations B. Chen et al. 10.1038/s41612-023-00559-0
- A climate-scale satellite record for carbon monoxide: the MOPITT Version 7 product M. Deeter et al. 10.5194/amt-10-2533-2017
- Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: potentially overlooked CO hotspots in the Tibetan Plateau D. Liu et al. 10.5194/acp-19-12413-2019
- CO Fluxes in Western Europe during 2017–2020 Winter Seasons Inverted by WRF-Chem/Data Assimilation Research Testbed with MOPITT Observations Y. Huang et al. 10.3390/rs14051133
- On the role of trend and variability in the hydroxyl radical (OH) in the global methane budget Y. Zhao et al. 10.5194/acp-20-13011-2020
- Environmental effects of ozone depletion, UV radiation and interactions with climate change: UNEP Environmental Effects Assessment Panel, update 2017 A. Bais et al. 10.1039/c7pp90043k
- Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions R. Buchholz et al. 10.1016/j.rse.2020.112275
- New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes H. Worden et al. 10.5194/acp-19-13569-2019
- Rapid decline in carbon monoxide emissions and export from East Asia between years 2005 and 2016 B. Zheng et al. 10.1088/1748-9326/aab2b3
- Historical background and current developments for mapping burned area from satellite Earth observation E. Chuvieco et al. 10.1016/j.rse.2019.02.013
- Impact of land–water sensitivity contrast on MOPITT retrievals and trends over a coastal city I. Ashpole & A. Wiacek 10.5194/amt-13-3521-2020
- A 15-year record of CO emissions constrained by MOPITT CO observations Z. Jiang et al. 10.5194/acp-17-4565-2017
- Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. 10.1029/2021MS002982
- TROPESS-CrIS CO single-pixel vertical profiles: intercomparisons with MOPITT and model simulations for 2020 western US wildfires M. Luo et al. 10.5194/amt-17-2611-2024
- Interpol-IAGOS: a new method for assessing long-term chemistry–climate simulations in the UTLS based on IAGOS data, and its application to the MOCAGE CCMI REF-C1SD simulation Y. Cohen et al. 10.5194/gmd-14-2659-2021
- Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. 10.5194/acp-24-12225-2024
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
We use global models to interpret trends in MOPITT observations of CO. Simulations with time-dependent emissions reproduce the observed trends over the eastern USA and Europe, suggesting that the emissions are reasonable for these regions. The simulations produce a positive trend over eastern China, contrary to the observed negative trend. This may indicate that the assumed emission trend over China is too positive. However, large variability in the overhead ozone column also contributes.
We use global models to interpret trends in MOPITT observations of CO. Simulations with...
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