Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals
Global atmospheric CO2 distributions were simulated with a chemical transport model (GEOS-Chem) and compared with space-borne observations of CO2 column density by GOSAT from April 2009 to January 2010. The GEOS-Chem model simulated 3-D global atmospheric CO2 at 2°×2.5° horizontal resolution using g...
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Springer
2011-11-01
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Series: | Asian Journal of Atmospheric Environment |
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Online Access: | http://www.asianjae.org/_common/do.php?a=full&b=11&bidx=1580&aidx=19954 |
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author | Changsub Shim Ray Nassar Jhoon Kim |
author_facet | Changsub Shim Ray Nassar Jhoon Kim |
author_sort | Changsub Shim |
collection | DOAJ |
description | Global atmospheric CO2 distributions were simulated with a chemical transport model (GEOS-Chem) and compared with space-borne observations of CO2 column density by GOSAT from April 2009 to January 2010. The GEOS-Chem model simulated 3-D global atmospheric CO2 at 2°×2.5° horizontal resolution using global CO2 surface sources/sinks as well as 3-D emissions from aviation and the atmospheric oxidation of other carbon species. The seasonal cycle and spatial distribution of GEOS-Chem CO2 columns were generally comparable with GOSAT columns over each continent with a systematic positive bias of ~1.0%. Data from the World Data Center for Greenhouse Gases (WDCGG) from twelve ground stations spanning 90°S-82°N were also compared with the modeled data for the period of 2004-2009 inclusive. The ground-based data show high correlations with the GEOS-Chem simulation (0.66≤R2≤0.99) but the model data have a negative bias of ~1.0%, which is primarily due to the model initial conditions. Together these two comparisons can be used to infer that GOSAT CO2 retrievals underestimate CO2 column concentration by ~2.0%, as demonstrated in recent validation work using other methods. We further estimated individual source/sink contributions to the global atmospheric CO2 budget and trends through 7 tagged CO2 tracers (fossil fuels, ocean exchanges, biomass burning, biofuel burning, net terrestrial exchange, shipping, aviation, and CO oxidation) over 2004-2009. The global CO2 trend over this period (2.1 ppmv/year) has been mainly driven by fossil fuel combustion and cement production (3.2 ppmv/year), reinforcing the fact that rigorous CO2 reductions from human activities are necessary in order to stabilize atmospheric CO2 levels. |
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institution | Directory Open Access Journal |
issn | 1976-6912 2287-1160 |
language | English |
last_indexed | 2024-03-12T11:03:27Z |
publishDate | 2011-11-01 |
publisher | Springer |
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series | Asian Journal of Atmospheric Environment |
spelling | doaj.art-6aab2f29e7c64ec0abc620a3c318731b2023-09-02T04:24:00ZengSpringerAsian Journal of Atmospheric Environment1976-69122287-11602011-11-015426327710.5572/ajae.2011.5.4.263Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT RetrievalsChangsub Shim0Ray Nassar1Jhoon Kim2Korea Environment Institute, 290 Jinheung-ro, Eunpyeong-gu, Seoul, KoreaEnvironment Canada, 4905 Dufferin St, Toronto, Ontario, CanadaDepartment of Atmospheric Sciences, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, KoreaGlobal atmospheric CO2 distributions were simulated with a chemical transport model (GEOS-Chem) and compared with space-borne observations of CO2 column density by GOSAT from April 2009 to January 2010. The GEOS-Chem model simulated 3-D global atmospheric CO2 at 2°×2.5° horizontal resolution using global CO2 surface sources/sinks as well as 3-D emissions from aviation and the atmospheric oxidation of other carbon species. The seasonal cycle and spatial distribution of GEOS-Chem CO2 columns were generally comparable with GOSAT columns over each continent with a systematic positive bias of ~1.0%. Data from the World Data Center for Greenhouse Gases (WDCGG) from twelve ground stations spanning 90°S-82°N were also compared with the modeled data for the period of 2004-2009 inclusive. The ground-based data show high correlations with the GEOS-Chem simulation (0.66≤R2≤0.99) but the model data have a negative bias of ~1.0%, which is primarily due to the model initial conditions. Together these two comparisons can be used to infer that GOSAT CO2 retrievals underestimate CO2 column concentration by ~2.0%, as demonstrated in recent validation work using other methods. We further estimated individual source/sink contributions to the global atmospheric CO2 budget and trends through 7 tagged CO2 tracers (fossil fuels, ocean exchanges, biomass burning, biofuel burning, net terrestrial exchange, shipping, aviation, and CO oxidation) over 2004-2009. The global CO2 trend over this period (2.1 ppmv/year) has been mainly driven by fossil fuel combustion and cement production (3.2 ppmv/year), reinforcing the fact that rigorous CO2 reductions from human activities are necessary in order to stabilize atmospheric CO2 levels.http://www.asianjae.org/_common/do.php?a=full&b=11&bidx=1580&aidx=19954atmospheric co2geos-chemgosat co2wdcgg |
spellingShingle | Changsub Shim Ray Nassar Jhoon Kim Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals Asian Journal of Atmospheric Environment atmospheric co2 geos-chem gosat co2 wdcgg |
title | Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals |
title_full | Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals |
title_fullStr | Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals |
title_full_unstemmed | Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals |
title_short | Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals |
title_sort | comparison of model simulated atmospheric carbon dioxide with gosat retrievals |
topic | atmospheric co2 geos-chem gosat co2 wdcgg |
url | http://www.asianjae.org/_common/do.php?a=full&b=11&bidx=1580&aidx=19954 |
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