Articles | Volume 15, issue 12
https://doi.org/10.5194/acp-15-6801-2015
© 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-15-6801-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Jun 2015
Research article |
| 19 Jun 2015
Regional data assimilation of multi-spectral MOPITT observations of CO over North America
Department of Physics, University of Toronto, Toronto, ON, Canada
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
D. B. A. Jones
Department of Physics, University of Toronto, Toronto, ON, Canada
JIFRESSE, University of California, Los Angeles, Los Angeles, CA, USA
J. Worden
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
H. M. Worden
National Center for Atmospheric Research, Boulder, CO, USA
D. K. Henze
University of Colorado, Boulder, CO, USA
Y. X. Wang
Department of Marine Sciences, Texas A&M University at Galveston, Galveston, TX, USA
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China
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28 citations as recorded by crossref.
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- New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes H. Worden et al. 10.5194/acp-19-13569-2019
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- 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
- Toronto area ozone: Long‐term measurements and modeled sources of poor air quality events C. Whaley et al. 10.1002/2014JD022984
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- Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios N. Elguindi et al. 10.1029/2020EF001520
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- Arctic tropospheric ozone: assessment of current knowledge and model performance C. Whaley et al. 10.5194/acp-23-637-2023
- Constraints on Asian ozone using Aura TES, OMI and Terra MOPITT Z. Jiang et al. 10.5194/acp-15-99-2015
- Combining Machine Learning and Satellite Observations to Predict Spatial and Temporal Variation of near Surface OH in North American Cities Q. Zhu et al. 10.1021/acs.est.1c05636
- Responses of Photochemical Air Pollution in California’s San Joaquin Valley to Spatially and Temporally Resolved Changes in Precursor Emissions Y. Wang et al. 10.1021/acs.est.1c07011
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- CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data A. Fortems-Cheiney et al. 10.5194/acp-24-4635-2024
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- Evaluating Carbon Monoxide and Aerosol Optical Depth Simulations from CAM-Chem Using Satellite Observations D. Alvim et al. 10.3390/rs13112231
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- Quantifying lower tropospheric methane concentrations using GOSAT near-IR and TES thermal IR measurements J. Worden et al. 10.5194/amt-8-3433-2015
- The CHRONOS mission: capability for sub-hourly synoptic observations of carbon monoxide and methane to quantify emissions and transport of air pollution D. Edwards et al. 10.5194/amt-11-1061-2018
- CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations W. He et al. 10.5194/gmd-11-3515-2018
- Estimates of black carbon emissions in the western United States using the GEOS-Chem adjoint model Y. Mao et al. 10.5194/acp-15-7685-2015
- Sensitivity of top-down CO source estimates to the modeled vertical structure in atmospheric CO Z. Jiang et al. 10.5194/acp-15-1521-2015
26 citations as recorded by crossref.
- A 15-year record of CO emissions constrained by MOPITT CO observations Z. Jiang et al. 10.5194/acp-17-4565-2017
- New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes H. Worden et al. 10.5194/acp-19-13569-2019
- CO Emissions Inferred From Surface CO Observations Over China in December 2013 and 2017 S. Feng et al. 10.1029/2019JD031808
- 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
- Toronto area ozone: Long‐term measurements and modeled sources of poor air quality events C. Whaley et al. 10.1002/2014JD022984
- 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
- Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios N. Elguindi et al. 10.1029/2020EF001520
- Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study C. Whaley et al. 10.5194/acp-22-5775-2022
- Atmospheric inverse estimates of CO emissions from Zhengzhou, China H. Fan et al. 10.1016/j.envpol.2020.115164
- The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations V. Khade et al. 10.5194/gmd-14-2525-2021
- The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates J. Worden et al. 10.5194/acp-22-6811-2022
- Arctic tropospheric ozone: assessment of current knowledge and model performance C. Whaley et al. 10.5194/acp-23-637-2023
- Constraints on Asian ozone using Aura TES, OMI and Terra MOPITT Z. Jiang et al. 10.5194/acp-15-99-2015
- Combining Machine Learning and Satellite Observations to Predict Spatial and Temporal Variation of near Surface OH in North American Cities Q. Zhu et al. 10.1021/acs.est.1c05636
- Responses of Photochemical Air Pollution in California’s San Joaquin Valley to Spatially and Temporally Resolved Changes in Precursor Emissions Y. Wang et al. 10.1021/acs.est.1c07011
- Assimilating compact phase space retrievals (CPSRs): comparison with independent observations (MOZAIC in situ and IASI retrievals) and extension to assimilation of truncated retrieval profiles A. Mizzi et al. 10.5194/gmd-11-3727-2018
- Atmospheric nitrogen deposition to the northwestern Pacific: seasonal variation and source attribution Y. Zhao et al. 10.5194/acp-15-10905-2015
- CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data A. Fortems-Cheiney et al. 10.5194/acp-24-4635-2024
- Top‐Down CO Emissions Based On IASI Observations and Hemispheric Constraints on OH Levels J. Müller et al. 10.1002/2017GL076697
- Evaluating Carbon Monoxide and Aerosol Optical Depth Simulations from CAM-Chem Using Satellite Observations D. Alvim et al. 10.3390/rs13112231
- Reduced biomass burning emissions reconcile conflicting estimates of the post-2006 atmospheric methane budget J. Worden et al. 10.1038/s41467-017-02246-0
- The capabilities of the adjoint of GEOS-Chem model to support HEMCO emission inventories and MERRA-2 meteorological data Z. Tang et al. 10.5194/gmd-16-6377-2023
- Discrepancy in assimilated atmospheric CO over East Asia in 2015–2020 by assimilating satellite and surface CO measurements Z. Tang et al. 10.5194/acp-22-7815-2022
- Quantifying lower tropospheric methane concentrations using GOSAT near-IR and TES thermal IR measurements J. Worden et al. 10.5194/amt-8-3433-2015
- The CHRONOS mission: capability for sub-hourly synoptic observations of carbon monoxide and methane to quantify emissions and transport of air pollution D. Edwards et al. 10.5194/amt-11-1061-2018
- CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations W. He et al. 10.5194/gmd-11-3515-2018
2 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
We present a high-resolution (0.5 x 0.667) regional CO inversion over North America in the period of June 2004–May 2005, using a combination of GEOS-Chem model and MOPITT CO observations. With optimized lateral boundary conditions, we show that regional inversion analyses can reduce the sensitivity of the CO source estimates to errors in long-range transport and in the distributions of the hydroxyl radical (OH), and consequently, provide better quantification on regional CO source estimates.
We present a high-resolution (0.5 x 0.667) regional CO inversion over North America in the...
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