Improved simulation of regional CO2 surface concentrations using GEOS-Chem and fluxes from VEGAS

CO2 measurements have been combined with simulated CO2 distributions from a transport model in order to produce the optimal estimates of CO2 surface fluxes in inverse modeling. However, one persistent problem in using model-observation comparisons for this goal relates to the issue of compatibility....

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Published in:Atmospheric Chemistry and Physics
Main Authors: Chen, Z. H., Zhu, J., Zeng, N.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2013
Subjects:
Online Access:https://ueaeprints.uea.ac.uk/id/eprint/53562/
https://doi.org/10.5194/acp-13-7607-2013
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spelling ftuniveastangl:oai:ueaeprints.uea.ac.uk:53562 2023-05-15T17:36:02+02:00 Improved simulation of regional CO2 surface concentrations using GEOS-Chem and fluxes from VEGAS Chen, Z. H. Zhu, J. Zeng, N. 2013-08-07 https://ueaeprints.uea.ac.uk/id/eprint/53562/ https://doi.org/10.5194/acp-13-7607-2013 unknown Chen, Z. H., Zhu, J. and Zeng, N. (2013) Improved simulation of regional CO2 surface concentrations using GEOS-Chem and fluxes from VEGAS. Atmospheric Chemistry and Physics, 13 (15). pp. 7607-7618. ISSN 1680-7316 doi:10.5194/acp-13-7607-2013 Article PeerReviewed 2013 ftuniveastangl https://doi.org/10.5194/acp-13-7607-2013 2023-01-30T21:41:00Z CO2 measurements have been combined with simulated CO2 distributions from a transport model in order to produce the optimal estimates of CO2 surface fluxes in inverse modeling. However, one persistent problem in using model-observation comparisons for this goal relates to the issue of compatibility. Observations at a single station reflect all underlying processes of various scales. These processes usually cannot be fully resolved by model simulations at the grid points nearest the station due to lack of spatial or temporal resolution or missing processes in the model. In this study the stations in one region were grouped based on the amplitude and phase of the seasonal cycle at each station. The regionally averaged CO2 at all stations in one region represents the regional CO2 concentration of this region. The regional CO2 concentrations from model simulations and observations were used to evaluate the regional model results. The difference of the regional CO2 concentration between observation and modeled results reflects the uncertainty of the large-scale flux in the region where the grouped stations are. We compared the regional CO2 concentrations between model results with biospheric fluxes from the Carnegie-Ames-Stanford Approach (CASA) and VEgetation-Global-Atmosphere-Soil (VEGAS) models, and used observations from GLOBALVIEW-CO2 to evaluate the regional model results. The results show the largest difference of the regionally averaged values between simulations with fluxes from VEGAS and observations is less than 5 ppm for North American boreal, North American temperate, Eurasian boreal, Eurasian temperate and Europe, which is smaller than the largest difference between CASA simulations and observations (more than 5 ppm). There is still a large difference between two model results and observations for the regional CO2 concentration in the North Atlantic, Indian Ocean, and South Pacific tropics. The regionally averaged CO2 concentrations will be helpful for comparing CO2 concentrations from modeled results ... Article in Journal/Newspaper North Atlantic University of East Anglia: UEA Digital Repository Indian Pacific Atmospheric Chemistry and Physics 13 15 7607 7618
institution Open Polar
collection University of East Anglia: UEA Digital Repository
op_collection_id ftuniveastangl
language unknown
description CO2 measurements have been combined with simulated CO2 distributions from a transport model in order to produce the optimal estimates of CO2 surface fluxes in inverse modeling. However, one persistent problem in using model-observation comparisons for this goal relates to the issue of compatibility. Observations at a single station reflect all underlying processes of various scales. These processes usually cannot be fully resolved by model simulations at the grid points nearest the station due to lack of spatial or temporal resolution or missing processes in the model. In this study the stations in one region were grouped based on the amplitude and phase of the seasonal cycle at each station. The regionally averaged CO2 at all stations in one region represents the regional CO2 concentration of this region. The regional CO2 concentrations from model simulations and observations were used to evaluate the regional model results. The difference of the regional CO2 concentration between observation and modeled results reflects the uncertainty of the large-scale flux in the region where the grouped stations are. We compared the regional CO2 concentrations between model results with biospheric fluxes from the Carnegie-Ames-Stanford Approach (CASA) and VEgetation-Global-Atmosphere-Soil (VEGAS) models, and used observations from GLOBALVIEW-CO2 to evaluate the regional model results. The results show the largest difference of the regionally averaged values between simulations with fluxes from VEGAS and observations is less than 5 ppm for North American boreal, North American temperate, Eurasian boreal, Eurasian temperate and Europe, which is smaller than the largest difference between CASA simulations and observations (more than 5 ppm). There is still a large difference between two model results and observations for the regional CO2 concentration in the North Atlantic, Indian Ocean, and South Pacific tropics. The regionally averaged CO2 concentrations will be helpful for comparing CO2 concentrations from modeled results ...
format Article in Journal/Newspaper
author Chen, Z. H.
Zhu, J.
Zeng, N.
spellingShingle Chen, Z. H.
Zhu, J.
Zeng, N.
Improved simulation of regional CO2 surface concentrations using GEOS-Chem and fluxes from VEGAS
author_facet Chen, Z. H.
Zhu, J.
Zeng, N.
author_sort Chen, Z. H.
title Improved simulation of regional CO2 surface concentrations using GEOS-Chem and fluxes from VEGAS
title_short Improved simulation of regional CO2 surface concentrations using GEOS-Chem and fluxes from VEGAS
title_full Improved simulation of regional CO2 surface concentrations using GEOS-Chem and fluxes from VEGAS
title_fullStr Improved simulation of regional CO2 surface concentrations using GEOS-Chem and fluxes from VEGAS
title_full_unstemmed Improved simulation of regional CO2 surface concentrations using GEOS-Chem and fluxes from VEGAS
title_sort improved simulation of regional co2 surface concentrations using geos-chem and fluxes from vegas
publishDate 2013
url https://ueaeprints.uea.ac.uk/id/eprint/53562/
https://doi.org/10.5194/acp-13-7607-2013
geographic Indian
Pacific
geographic_facet Indian
Pacific
genre North Atlantic
genre_facet North Atlantic
op_relation Chen, Z. H., Zhu, J. and Zeng, N. (2013) Improved simulation of regional CO2 surface concentrations using GEOS-Chem and fluxes from VEGAS. Atmospheric Chemistry and Physics, 13 (15). pp. 7607-7618. ISSN 1680-7316
doi:10.5194/acp-13-7607-2013
op_doi https://doi.org/10.5194/acp-13-7607-2013
container_title Atmospheric Chemistry and Physics
container_volume 13
container_issue 15
container_start_page 7607
op_container_end_page 7618
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