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

CO 2 measurements have been combined with simulated CO 2 distributions from a transport model in order to produce the optimal estimates of CO 2 surface fluxes in inverse modeling. However, one persistent problem in using model–observation comparisons for this goal relates to the issue of compatibili...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Chen, Z. H., Zhu, J., Zeng, N.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/acp-13-7607-2013
https://www.atmos-chem-phys.net/13/7607/2013/
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spelling ftcopernicus:oai:publications.copernicus.org:acp17136 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. 2018-01-15 application/pdf https://doi.org/10.5194/acp-13-7607-2013 https://www.atmos-chem-phys.net/13/7607/2013/ eng eng doi:10.5194/acp-13-7607-2013 https://www.atmos-chem-phys.net/13/7607/2013/ eISSN: 1680-7324 Text 2018 ftcopernicus https://doi.org/10.5194/acp-13-7607-2013 2019-12-24T09:55:09Z CO 2 measurements have been combined with simulated CO 2 distributions from a transport model in order to produce the optimal estimates of CO 2 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 CO 2 at all stations in one region represents the regional CO 2 concentration of this region. The regional CO 2 concentrations from model simulations and observations were used to evaluate the regional model results. The difference of the regional CO 2 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 CO 2 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-CO 2 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 CO 2 concentration in the North Atlantic, Indian Ocean, and South Pacific tropics. The regionally averaged CO 2 concentrations will be helpful for comparing CO 2 concentrations from modeled results and observations and evaluating regional surface fluxes from different methods. Text North Atlantic Copernicus Publications: E-Journals Indian Pacific Atmospheric Chemistry and Physics 13 15 7607 7618
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collection Copernicus Publications: E-Journals
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language English
description CO 2 measurements have been combined with simulated CO 2 distributions from a transport model in order to produce the optimal estimates of CO 2 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 CO 2 at all stations in one region represents the regional CO 2 concentration of this region. The regional CO 2 concentrations from model simulations and observations were used to evaluate the regional model results. The difference of the regional CO 2 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 CO 2 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-CO 2 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 CO 2 concentration in the North Atlantic, Indian Ocean, and South Pacific tropics. The regionally averaged CO 2 concentrations will be helpful for comparing CO 2 concentrations from modeled results and observations and evaluating regional surface fluxes from different methods.
format Text
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 2018
url https://doi.org/10.5194/acp-13-7607-2013
https://www.atmos-chem-phys.net/13/7607/2013/
geographic Indian
Pacific
geographic_facet Indian
Pacific
genre North Atlantic
genre_facet North Atlantic
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-13-7607-2013
https://www.atmos-chem-phys.net/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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