skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Evaluating high-resolution forecasts of atmospheric CO and CO 2 from a global prediction system during KORUS-AQ field campaign

Abstract

Accurate and consistent monitoring of anthropogenic combustion is imperative because of its significant health and environmental impacts, especially at city-to-regional scale. Here, we assess the performance of the Copernicus Atmosphere Monitoring Service (CAMS) global prediction system using measurements from aircraft, ground sites, and ships during the Korea-United States Air Quality (KORUS-AQ) field study in May to June 2016. Our evaluation focuses on CAMS CO and CO 2 analyses as well as two higher-resolution forecasts (16 and 9km horizontal resolution) to assess their capability in predicting combustion signatures over east Asia. Our results show a slight overestimation of CAMS CO 2 with a mean bias against airborne CO 2 measurements of 2.2, 0.7, and 0.3ppmv for 16 and 9km CO 2 forecasts, and analyses, respectively. The positive CO 2 mean bias in the 16km forecast appears to be consistent across the vertical profile of the measurements. In contrast, we find a moderate underestimation of CAMS CO with an overall bias against airborne CO measurements of -19.2 (16km), -16.7 (9km), and -20.7 ppbv (analysis). This negative CO mean bias is mostly seen below 750 hPa for all three forecast/analysis configurations. Despite these biases, CAMS shows a remarkable agreement with observed enhancement ratiosmore » of CO with CO 2 over the Seoul metropolitan area and over the West (Yellow) Sea, where east Asian outflows were sampled during the study period. More efficient combustion is observed over Seoul (dCO dCO 2 Combining double low line 9 ppbvppmv -1) compared to the West Sea (dCO dCO 2 Combining double low line 28 ppbvppmv -1). This "combustion signature contrast" is consistent with previous studies in these two regions. CAMS captured this difference in enhancement ratios (Seoul: 8-12 ppbvppmv -1, the West Sea: ~ 30 ppbvppmv- 1) regardless of forecast/analysis configurations. The correlation of CAMS CO bias with CO2 bias is relatively high over these two regions (Seoul: 0.64-0.90, the West Sea: ~ 0.80) suggesting that the contrast captured by CAMS may be dominated by anthropogenic emission ratios used in CAMS. However, CAMS shows poorer performance in terms of capturing local-to-urban CO and CO 2 variability. Along with measurements at ground sites over the Korean Peninsula, CAMS produces too high CO and CO 2 concentrations at the surface with steeper vertical gradients (~ 0.4 ppmvhPa-1 for CO 2 and 3.5 ppbvhPa -1 for CO) in the morning samples than observed (~ 0.25 ppmvhPa -1 for CO 2 and 1.7 ppbvhPa -1 for CO), suggesting weaker boundary layer mixing in the model. Lastly, we find that the combination of CO analyses (i.e., improved initial condition) and use of finer resolution (9km vs. 16km) generally produces better forecasts.« less

Authors:
ORCiD logo [1];  [1]; ORCiD logo [2]; ORCiD logo [3];  [2];  [4]; ORCiD logo [4];  [4]; ORCiD logo [5];  [5];  [5];  [6]; ORCiD logo [7]; ORCiD logo [7];  [8];  [5]; ORCiD logo [9]; ORCiD logo [10];  [11];  [12]
  1. Univ. of Arizona, Tucson, AZ (United States)
  2. NASA Langley Research Center, Hampton, VA (United States)
  3. NASA Langley Research Center, Hampton, VA (United States); Science Systems and Applications, Inc., Hampton, VA (United States)
  4. European Centre for Medium-Range Weather Forecasts, Reading (United Kingdom)
  5. National Center for Atmospheric Research, Boulder, CO (United States)
  6. Korea Research Institute of Standards and Science, Daejeon (South Korea)
  7. Yonsei Univ., Seoul (South Korea)
  8. Japan Agency for Marine-Earth Science and Technology, Kanagawa (Japan)
  9. Univ. Space Research Assoc., Columbia, MD (United States); NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  10. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  11. Univ. of Houston, Houston, TX (United States)
  12. Konkuk Univ., Seoul (South Korea)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1479436
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Atmospheric Chemistry and Physics (Online)
Additional Journal Information:
Journal Name: Atmospheric Chemistry and Physics (Online); Journal Volume: 18; Journal Issue: 15; Journal ID: ISSN 1680-7324
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 54 ENVIRONMENTAL SCIENCES

Citation Formats

Tang, Wenfu, Arellano, Avelino F., DiGangi, Joshua P., Choi, Yonghoon, Diskin, Glenn S., Agustí-Panareda, Anna, Parrington, Mark, Massart, Sebastien, Gaubert, Benjamin, Lee, Youngjae, Kim, Danbi, Jung, Jinsang, Hong, Jinkyu, Hong, Je -Woo, Kanaya, Yugo, Lee, Mindo, Stauffer, Ryan M., Thompson, Anne M., Flynn, James H., and Woo, Jung-Hun. Evaluating high-resolution forecasts of atmospheric CO and CO2 from a global prediction system during KORUS-AQ field campaign. United States: N. p., 2018. Web. doi:10.5194/acp-18-11007-2018.
Tang, Wenfu, Arellano, Avelino F., DiGangi, Joshua P., Choi, Yonghoon, Diskin, Glenn S., Agustí-Panareda, Anna, Parrington, Mark, Massart, Sebastien, Gaubert, Benjamin, Lee, Youngjae, Kim, Danbi, Jung, Jinsang, Hong, Jinkyu, Hong, Je -Woo, Kanaya, Yugo, Lee, Mindo, Stauffer, Ryan M., Thompson, Anne M., Flynn, James H., & Woo, Jung-Hun. Evaluating high-resolution forecasts of atmospheric CO and CO2 from a global prediction system during KORUS-AQ field campaign. United States. doi:10.5194/acp-18-11007-2018.
Tang, Wenfu, Arellano, Avelino F., DiGangi, Joshua P., Choi, Yonghoon, Diskin, Glenn S., Agustí-Panareda, Anna, Parrington, Mark, Massart, Sebastien, Gaubert, Benjamin, Lee, Youngjae, Kim, Danbi, Jung, Jinsang, Hong, Jinkyu, Hong, Je -Woo, Kanaya, Yugo, Lee, Mindo, Stauffer, Ryan M., Thompson, Anne M., Flynn, James H., and Woo, Jung-Hun. Tue . "Evaluating high-resolution forecasts of atmospheric CO and CO2 from a global prediction system during KORUS-AQ field campaign". United States. doi:10.5194/acp-18-11007-2018. https://www.osti.gov/servlets/purl/1479436.
@article{osti_1479436,
title = {Evaluating high-resolution forecasts of atmospheric CO and CO2 from a global prediction system during KORUS-AQ field campaign},
author = {Tang, Wenfu and Arellano, Avelino F. and DiGangi, Joshua P. and Choi, Yonghoon and Diskin, Glenn S. and Agustí-Panareda, Anna and Parrington, Mark and Massart, Sebastien and Gaubert, Benjamin and Lee, Youngjae and Kim, Danbi and Jung, Jinsang and Hong, Jinkyu and Hong, Je -Woo and Kanaya, Yugo and Lee, Mindo and Stauffer, Ryan M. and Thompson, Anne M. and Flynn, James H. and Woo, Jung-Hun},
abstractNote = {Accurate and consistent monitoring of anthropogenic combustion is imperative because of its significant health and environmental impacts, especially at city-to-regional scale. Here, we assess the performance of the Copernicus Atmosphere Monitoring Service (CAMS) global prediction system using measurements from aircraft, ground sites, and ships during the Korea-United States Air Quality (KORUS-AQ) field study in May to June 2016. Our evaluation focuses on CAMS CO and CO2 analyses as well as two higher-resolution forecasts (16 and 9km horizontal resolution) to assess their capability in predicting combustion signatures over east Asia. Our results show a slight overestimation of CAMS CO2 with a mean bias against airborne CO2 measurements of 2.2, 0.7, and 0.3ppmv for 16 and 9km CO2 forecasts, and analyses, respectively. The positive CO2 mean bias in the 16km forecast appears to be consistent across the vertical profile of the measurements. In contrast, we find a moderate underestimation of CAMS CO with an overall bias against airborne CO measurements of -19.2 (16km), -16.7 (9km), and -20.7 ppbv (analysis). This negative CO mean bias is mostly seen below 750 hPa for all three forecast/analysis configurations. Despite these biases, CAMS shows a remarkable agreement with observed enhancement ratios of CO with CO2 over the Seoul metropolitan area and over the West (Yellow) Sea, where east Asian outflows were sampled during the study period. More efficient combustion is observed over Seoul (dCO dCO2 Combining double low line 9 ppbvppmv-1) compared to the West Sea (dCO dCO2 Combining double low line 28 ppbvppmv-1). This "combustion signature contrast" is consistent with previous studies in these two regions. CAMS captured this difference in enhancement ratios (Seoul: 8-12 ppbvppmv-1, the West Sea: ~ 30 ppbvppmv-1) regardless of forecast/analysis configurations. The correlation of CAMS CO bias with CO2 bias is relatively high over these two regions (Seoul: 0.64-0.90, the West Sea: ~ 0.80) suggesting that the contrast captured by CAMS may be dominated by anthropogenic emission ratios used in CAMS. However, CAMS shows poorer performance in terms of capturing local-to-urban CO and CO2 variability. Along with measurements at ground sites over the Korean Peninsula, CAMS produces too high CO and CO2 concentrations at the surface with steeper vertical gradients (~ 0.4 ppmvhPa-1 for CO2 and 3.5 ppbvhPa-1 for CO) in the morning samples than observed (~ 0.25 ppmvhPa-1 for CO2 and 1.7 ppbvhPa-1 for CO), suggesting weaker boundary layer mixing in the model. Lastly, we find that the combination of CO analyses (i.e., improved initial condition) and use of finer resolution (9km vs. 16km) generally produces better forecasts.},
doi = {10.5194/acp-18-11007-2018},
journal = {Atmospheric Chemistry and Physics (Online)},
number = 15,
volume = 18,
place = {United States},
year = {2018},
month = {8}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 10 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Impact of biogenic volatile organic compounds on ozone production at the Taehwa Research Forest near Seoul, South Korea
journal, May 2013


Retrieval of MetOp-A/IASI CO profiles and validation with MOZAIC data
journal, January 2012

  • De Wachter, E.; Barret, B.; Le Flochmoën, E.
  • Atmospheric Measurement Techniques, Vol. 5, Issue 11
  • DOI: 10.5194/amt-5-2843-2012

Improved quantification of Chinese carbon fluxes using CO 2 /CO correlations in Asian outflow
journal, January 2004

  • Suntharalingam, Parvadha
  • Journal of Geophysical Research, Vol. 109, Issue D18
  • DOI: 10.1029/2003JD004362

Monitoring of atmospheric composition using the thermal infrared IASI/MetOp sounder
journal, January 2009

  • Clerbaux, C.; Boynard, A.; Clarisse, L.
  • Atmospheric Chemistry and Physics, Vol. 9, Issue 16
  • DOI: 10.5194/acp-9-6041-2009

An Asian emission inventory of anthropogenic emission sources for the period 1980–2020
journal, January 2007

  • Ohara, T.; Akimoto, H.; Kurokawa, J.
  • Atmospheric Chemistry and Physics, Vol. 7, Issue 16
  • DOI: 10.5194/acp-7-4419-2007

Chemical Feedback From Decreasing Carbon Monoxide Emissions
journal, October 2017

  • Gaubert, B.; Worden, H. M.; Arellano, A. F. J.
  • Geophysical Research Letters, Vol. 44, Issue 19
  • DOI: 10.1002/2017GL074987

An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology
journal, January 2015

  • George, M.; Clerbaux, C.; Bouarar, I.
  • Atmospheric Measurement Techniques, Vol. 8, Issue 10
  • DOI: 10.5194/amt-8-4313-2015

Magnetite pollution nanoparticles in the human brain
journal, September 2016

  • Maher, Barbara A.; Ahmed, Imad A. M.; Karloukovski, Vassil
  • Proceedings of the National Academy of Sciences, Vol. 113, Issue 39
  • DOI: 10.1073/pnas.1605941113

Spatial and temporal variability in the ratio of trace gases emitted from biomass burning
journal, January 2011

  • van Leeuwen, T. T.; van der Werf, G. R.
  • Atmospheric Chemistry and Physics, Vol. 11, Issue 8
  • DOI: 10.5194/acp-11-3611-2011

Climate forcing and air quality change due to regional emissions reductions by economic sector
journal, January 2008

  • Shindell, D.; Lamarque, J. -F.; Unger, N.
  • Atmospheric Chemistry and Physics, Vol. 8, Issue 23
  • DOI: 10.5194/acp-8-7101-2008

Finding Boundary Layer Top: Application of a Wavelet Covariance Transform to Lidar Backscatter Profiles
journal, August 2003


Elucidating severe urban haze formation in China
journal, November 2014

  • Guo, Song; Hu, Min; Zamora, Misti L.
  • Proceedings of the National Academy of Sciences, Vol. 111, Issue 49
  • DOI: 10.1073/pnas.1419604111

Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power
journal, January 2012


Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years
journal, January 2014

  • Sindelarova, K.; Granier, C.; Bouarar, I.
  • Atmospheric Chemistry and Physics, Vol. 14, Issue 17
  • DOI: 10.5194/acp-14-9317-2014

Impact of anthropogenic atmospheric nitrogen and sulfur deposition on ocean acidification and the inorganic carbon system
journal, September 2007

  • Doney, S. C.; Mahowald, N.; Lima, I.
  • Proceedings of the National Academy of Sciences, Vol. 104, Issue 37
  • DOI: 10.1073/pnas.0702218104

Summarizing multiple aspects of model performance in a single diagram
journal, April 2001

  • Taylor, Karl E.
  • Journal of Geophysical Research: Atmospheres, Vol. 106, Issue D7
  • DOI: 10.1029/2000JD900719

Pitfalls with the use of enhancement ratios or normalized excess mixing ratios measured in plumes to characterize pollution sources and aging
journal, January 2013

  • Yokelson, R. J.; Andreae, M. O.; Akagi, S. K.
  • Atmospheric Measurement Techniques, Vol. 6, Issue 8
  • DOI: 10.5194/amt-6-2155-2013

The ACOS CO 2 retrieval algorithm – Part II: Global X CO 2 data characterization
journal, January 2012

  • Crisp, D.; Fisher, B. M.; O'Dell, C.
  • Atmospheric Measurement Techniques, Vol. 5, Issue 4
  • DOI: 10.5194/amt-5-687-2012

Tropospheric chemistry in the Integrated Forecasting System of ECMWF
journal, January 2015

  • Flemming, J.; Huijnen, V.; Arteta, J.
  • Geoscientific Model Development, Vol. 8, Issue 4
  • DOI: 10.5194/gmd-8-975-2015

Carbon monoxide distributions from the IASI/METOP mission: evaluation with other space-borne remote sensors
journal, January 2009

  • George, M.; Clerbaux, C.; Hurtmans, D.
  • Atmospheric Chemistry and Physics, Vol. 9, Issue 21
  • DOI: 10.5194/acp-9-8317-2009

A Global Land Cover Climatology Using MODIS Data
journal, June 2014

  • Broxton, Patrick D.; Zeng, Xubin; Sulla-Menashe, Damien
  • Journal of Applied Meteorology and Climatology, Vol. 53, Issue 6
  • DOI: 10.1175/JAMC-D-13-0270.1

A method for evaluating bias in global measurements of CO 2 total columns from space
journal, January 2011

  • Wunch, D.; Wennberg, P. O.; Toon, G. C.
  • Atmospheric Chemistry and Physics, Vol. 11, Issue 23
  • DOI: 10.5194/acp-11-12317-2011

Southern hemisphere medium-scale waves and total ozone disturbances in a spectral general circulation model
journal, January 1986


Atmospheric observations of carbon monoxide and fossil fuel CO 2 emissions from East Asia : EAST ASIA CO AND FOSSIL FUEL CO
journal, December 2011

  • Turnbull, Jocelyn C.; Tans, Pieter P.; Lehman, Scott J.
  • Journal of Geophysical Research: Atmospheres, Vol. 116, Issue D24
  • DOI: 10.1029/2011JD016691

Global tropospheric hydroxyl distribution, budget and reactivity
journal, January 2016

  • Lelieveld, Jos; Gromov, Sergey; Pozzer, Andrea
  • Atmospheric Chemistry and Physics, Vol. 16, Issue 19
  • DOI: 10.5194/acp-16-12477-2016

Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS
journal, January 2015

  • Inness, A.; Blechschmidt, A. -M.; Bouarar, I.
  • Atmospheric Chemistry and Physics, Vol. 15, Issue 9
  • DOI: 10.5194/acp-15-5275-2015

Impact of Anthropogenic CO2 on the CaCO3 System in the Oceans
journal, July 2004


The Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) mission: design, execution, and first results
journal, January 2010

  • Jacob, D. J.; Crawford, J. H.; Maring, H.
  • Atmospheric Chemistry and Physics, Vol. 10, Issue 11
  • DOI: 10.5194/acp-10-5191-2010

Toward anthropogenic combustion emission constraints from space‐based analysis of urban CO 2 /CO sensitivity
journal, September 2013

  • Silva, Sam J.; Arellano, Avelino F.; Worden, Helen M.
  • Geophysical Research Letters, Vol. 40, Issue 18
  • DOI: 10.1002/grl.50954

On the representation of IAGOS/MOZAIC vertical profiles in chemical transport models: contribution of different error sources in the example of carbon monoxide
journal, October 2015

  • Boschetti, Fabio; Chen, Huilin; Thouret, Valerie
  • Tellus B: Chemical and Physical Meteorology, Vol. 67, Issue 1
  • DOI: 10.3402/tellusb.v67.28292

Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation
journal, January 2009

  • Benedetti, A.; Morcrette, J. -J.; Boucher, O.
  • Journal of Geophysical Research, Vol. 114, Issue D13
  • DOI: 10.1029/2008JD011115

Enhancement of acidic gases in biomass burning impacted air masses over Canada
journal, January 1994

  • Lefer, B. L.; Talbot, R. W.; Harriss, R. H.
  • Journal of Geophysical Research, Vol. 99, Issue D1
  • DOI: 10.1029/93JD02091

Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: Forward modeling
journal, January 2009

  • Morcrette, J. -J.; Boucher, O.; Jones, L.
  • Journal of Geophysical Research, Vol. 114, Issue D6
  • DOI: 10.1029/2008JD011235

Improved agreement of AIRS tropospheric carbon monoxide products with other EOS sensors using optimal estimation retrievals
journal, January 2010

  • Warner, J. X.; Wei, Z.; Strow, L. L.
  • Atmospheric Chemistry and Physics, Vol. 10, Issue 19
  • DOI: 10.5194/acp-10-9521-2010

The CAMS interim Reanalysis of Carbon Monoxide, Ozone and Aerosol for 2003–2015
journal, January 2017

  • Flemming, Johannes; Benedetti, Angela; Inness, Antje
  • Atmospheric Chemistry and Physics, Vol. 17, Issue 3
  • DOI: 10.5194/acp-17-1945-2017

A biogenic CO 2 flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO 2 analyses and forecasts
journal, January 2016

  • Agustí-Panareda, Anna; Massart, Sébastien; Chevallier, Frédéric
  • Atmospheric Chemistry and Physics, Vol. 16, Issue 16
  • DOI: 10.5194/acp-16-10399-2016

Global Characterization of CO2 Column Retrievals from Shortwave-Infrared Satellite Observations of the Orbiting Carbon Observatory-2 Mission
journal, February 2011

  • Boesch, Hartmut; Baker, David; Connor, Brian
  • Remote Sensing, Vol. 3, Issue 2
  • DOI: 10.3390/rs3020270

Transport and Chemical Evolution over the Pacific (TRACE-P) aircraft mission: Design, execution, and first results
journal, January 2003


Coupling global chemistry transport models to ECMWF's integrated forecast system
journal, January 2009

  • Flemming, J.; Inness, A.; Flentje, H.
  • Geoscientific Model Development, Vol. 2, Issue 2
  • DOI: 10.5194/gmd-2-253-2009

Climate Forcing by Anthropogenic Aerosols
journal, January 1992


A linear CO chemistry parameterization in a chemistry-transport model: evaluation and application to data assimilation
journal, January 2010

  • Claeyman, M.; Attié, J. -L.; El Amraoui, L.
  • Atmospheric Chemistry and Physics, Vol. 10, Issue 13
  • DOI: 10.5194/acp-10-6097-2010

What does the global mean OH concentration tell us?
journal, January 2001

  • Lawrence, M. G.; Jöckel, P.; von Kuhlmann, R.
  • Atmospheric Chemistry and Physics, Vol. 1, Issue 1
  • DOI: 10.5194/acp-1-37-2001

The MOPITT Version 6 product: algorithm enhancements and validation
journal, January 2014

  • Deeter, M. N.; Martínez-Alonso, S.; Edwards, D. P.
  • Atmospheric Measurement Techniques, Vol. 7, Issue 11
  • DOI: 10.5194/amt-7-3623-2014

Patterns of CO 2 and radiocarbon across high northern latitudes during International Polar Year 2008
journal, January 2011

  • Vay, S. A.; Choi, Y.; Vadrevu, K. P.
  • Journal of Geophysical Research, Vol. 116, Issue D14
  • DOI: 10.1029/2011JD015643

Atmospheric chemistry in the Arctic and subarctic: Influence of natural fires, industrial emissions, and stratospheric inputs
journal, January 1992

  • Wofsy, S. C.; Sachse, G. W.; Gregory, G. L.
  • Journal of Geophysical Research, Vol. 97, Issue D15
  • DOI: 10.1029/92JD00622

China's Rapid Urbanization
journal, October 2013


Ability of the 4-D-Var analysis of the GOSAT BESD XCO 2 retrievals to characterize atmospheric CO 2 at large and synoptic scales
journal, January 2016

  • Massart, Sébastien; Agustí-Panareda, Anna; Heymann, Jens
  • Atmospheric Chemistry and Physics, Vol. 16, Issue 3
  • DOI: 10.5194/acp-16-1653-2016

TOWARD A MONITORING AND FORECASTING SYSTEM FOR ATMOSPHERIC COMPOSITION: The GEMS Project
journal, August 2008

  • Hollingsworth, A.; Engelen, R. J.; Textor, C.
  • Bulletin of the American Meteorological Society, Vol. 89, Issue 8
  • DOI: 10.1175/2008BAMS2355.1

Evolution of anthropogenic and biomass burning emissions of air pollutants at global and regional scales during the 1980–2010 period
journal, August 2011


Forecasting global atmospheric CO 2
journal, January 2014

  • Agustí-Panareda, A.; Massart, S.; Chevallier, F.
  • Atmospheric Chemistry and Physics, Vol. 14, Issue 21
  • DOI: 10.5194/acp-14-11959-2014

Preliminary validation of column-averaged volume mixing ratios of carbon dioxide and methane retrieved from GOSAT short-wavelength infrared spectra
journal, January 2011

  • Morino, I.; Uchino, O.; Inoue, M.
  • Atmospheric Measurement Techniques, Vol. 4, Issue 6
  • DOI: 10.5194/amt-4-1061-2011

CO 2 and its correlation with CO at a rural site near Beijing: implications for combustion efficiency in China
journal, January 2010


Carbon monoxide: A quantitative tracer for fossil fuel CO 2 ?
journal, January 2006

  • Gamnitzer, Ulrike; Karstens, Ute; Kromer, Bernd
  • Journal of Geophysical Research, Vol. 111, Issue D22
  • DOI: 10.1029/2005JD006966

Transpacific transport of Asian anthropogenic aerosols and its impact on surface air quality in the United States
journal, January 2006

  • Heald, Colette L.; Jacob, Daniel J.; Park, Rokjin J.
  • Journal of Geophysical Research, Vol. 111, Issue D14
  • DOI: 10.1029/2005JD006847

Improving the inter-hemispheric gradient of total column atmospheric CO 2 and CH 4 in simulations with the ECMWF semi-Lagrangian atmospheric global model
journal, January 2017

  • Agusti-Panareda, Anna; Diamantakis, Michail; Bayona, Victor
  • Geoscientific Model Development, Vol. 10, Issue 1
  • DOI: 10.5194/gmd-10-1-2017

Chemistry and transport of pollution over the Gulf of Mexico and the Pacific: spring 2006 INTEX-B campaign overview and first results
journal, January 2009

  • Singh, H. B.; Brune, W. H.; Crawford, J. H.
  • Atmospheric Chemistry and Physics, Vol. 9, Issue 7
  • DOI: 10.5194/acp-9-2301-2009

Use and misuse of the reduced major axis for line-fitting
journal, November 2009

  • Smith, Richard J.
  • American Journal of Physical Anthropology, Vol. 140, Issue 3
  • DOI: 10.1002/ajpa.21090

The Orbiting Carbon Observatory (OCO) mission
journal, January 2004


Climate, health, agricultural and economic impacts of tighter vehicle-emission standards
journal, March 2011

  • Shindell, Drew; Faluvegi, Greg; Walsh, Michael
  • Nature Climate Change, Vol. 1, Issue 1
  • DOI: 10.1038/nclimate1066

The ECMWF operational implementation of four-dimensional variational assimilation. I: Experimental results with simplified physics
journal, April 2000

  • Rabier, F.; Järvinen, H.; Klinker, E.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 126, Issue 564
  • DOI: 10.1002/qj.49712656415

Decadal change in carbon monoxide to nitrogen oxide ratio in U.S. vehicular emissions
journal, January 2002


A revised linear ozone photochemistry parameterization for use in transport and general circulation models: multi-annual simulations
journal, January 2007


Natural land carbon dioxide exchanges in the ECMWF integrated forecasting system: Implementation and offline validation: LAND CO
journal, June 2013

  • Boussetta, Souhail; Balsamo, Gianpaolo; Beljaars, Anton
  • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 12
  • DOI: 10.1002/jgrd.50488

Global Concentrations of CO2 and CH4 Retrieved from GOSAT: First Preliminary Results
journal, January 2009


Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) X CO 2 measurements with TCCON
journal, January 2017

  • Wunch, Debra; Wennberg, Paul O.; Osterman, Gregory
  • Atmospheric Measurement Techniques, Vol. 10, Issue 6
  • DOI: 10.5194/amt-10-2209-2017

Influence of regional-scale anthropogenic emissions on CO 2 distributions over the western North Pacific
journal, January 2003


The Total Carbon Column Observing Network
journal, May 2011

  • Wunch, Debra; Toon, Geoffrey C.; Blavier, Jean-François L.
  • Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 369, Issue 1943
  • DOI: 10.1098/rsta.2010.0240

    Works referencing / citing this record:

    Modelling CO 2 weather – why horizontal resolution matters
    journal, January 2019

    • Agustí-Panareda, Anna; Diamantakis, Michail; Massart, Sébastien
    • Atmospheric Chemistry and Physics, Vol. 19, Issue 11
    • DOI: 10.5194/acp-19-7347-2019