Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements
Accurate quantification of the distribution and variability of atmospheric CO2 is crucial for a better understanding of global carbon cycle characteristics and climate change. Model simulation and observations are only two ways to globally estimate CO2 concentrations and fluxes. However, large uncer...
Published in: | Atmosphere |
---|---|
Main Authors: | , , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2018
|
Subjects: | |
Online Access: | https://doi.org/10.3390/atmos9050175 |
id |
ftmdpi:oai:mdpi.com:/2073-4433/9/5/175/ |
---|---|
record_format |
openpolar |
spelling |
ftmdpi:oai:mdpi.com:/2073-4433/9/5/175/ 2023-08-20T04:08:51+02:00 Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements Yingying Jing Tianxing Wang Peng Zhang Lin Chen Na Xu Ya Ma agris 2018-05-07 application/pdf https://doi.org/10.3390/atmos9050175 EN eng Multidisciplinary Digital Publishing Institute Air Quality https://dx.doi.org/10.3390/atmos9050175 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 9; Issue 5; Pages: 175 GEOS-Chem model GOSAT satellite CarbonTracker XCO 2 Text 2018 ftmdpi https://doi.org/10.3390/atmos9050175 2023-07-31T21:30:34Z Accurate quantification of the distribution and variability of atmospheric CO2 is crucial for a better understanding of global carbon cycle characteristics and climate change. Model simulation and observations are only two ways to globally estimate CO2 concentrations and fluxes. However, large uncertainties still exist. Therefore, quantifying the differences between model and observations is rather helpful for reducing their uncertainties and further improving model estimations of global CO2 sources and sinks. In this paper, the GEOS-Chem model was selected to simulate CO2 concentration and then compared with the Greenhouse Gases Observing Satellite (GOSAT) observations, CarbonTracker (CT) and the Total Carbon Column Observing Network (TCCON) measurements during 2009–2011 for quantitatively evaluating the uncertainties of CO2 simulation. The results revealed that the CO2 simulated from GEOS-Chem is in good agreement with other CO2 data sources, but some discrepancies exist including: (1) compared with GOSAT retrievals, modeled XCO2 from GEOS-Chem is somewhat overestimated, with 0.78 ppm on average; (2) compared with CT, the simulated XCO2 from GEOS-Chem is slightly underestimated at most regions, although their time series and correlation show pretty good consistency; (3) compared with the TCCON sites, modeled XCO2 is also underestimated within 1 ppm at most sites, except at Garmisch, Karlsruhe, Sodankylä and Ny-Ålesund. Overall, the results demonstrate that the modeled XCO2 is underestimated on average, however, obviously overestimated XCO2 from GEOS-Chem were found at high latitudes of the Northern Hemisphere in summer. These results are helpful for understanding the model uncertainties as well as to further improve the CO2 estimation. Text Ny Ålesund Ny-Ålesund Sodankylä MDPI Open Access Publishing Ny-Ålesund Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) Atmosphere 9 5 175 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
GEOS-Chem model GOSAT satellite CarbonTracker XCO 2 |
spellingShingle |
GEOS-Chem model GOSAT satellite CarbonTracker XCO 2 Yingying Jing Tianxing Wang Peng Zhang Lin Chen Na Xu Ya Ma Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements |
topic_facet |
GEOS-Chem model GOSAT satellite CarbonTracker XCO 2 |
description |
Accurate quantification of the distribution and variability of atmospheric CO2 is crucial for a better understanding of global carbon cycle characteristics and climate change. Model simulation and observations are only two ways to globally estimate CO2 concentrations and fluxes. However, large uncertainties still exist. Therefore, quantifying the differences between model and observations is rather helpful for reducing their uncertainties and further improving model estimations of global CO2 sources and sinks. In this paper, the GEOS-Chem model was selected to simulate CO2 concentration and then compared with the Greenhouse Gases Observing Satellite (GOSAT) observations, CarbonTracker (CT) and the Total Carbon Column Observing Network (TCCON) measurements during 2009–2011 for quantitatively evaluating the uncertainties of CO2 simulation. The results revealed that the CO2 simulated from GEOS-Chem is in good agreement with other CO2 data sources, but some discrepancies exist including: (1) compared with GOSAT retrievals, modeled XCO2 from GEOS-Chem is somewhat overestimated, with 0.78 ppm on average; (2) compared with CT, the simulated XCO2 from GEOS-Chem is slightly underestimated at most regions, although their time series and correlation show pretty good consistency; (3) compared with the TCCON sites, modeled XCO2 is also underestimated within 1 ppm at most sites, except at Garmisch, Karlsruhe, Sodankylä and Ny-Ålesund. Overall, the results demonstrate that the modeled XCO2 is underestimated on average, however, obviously overestimated XCO2 from GEOS-Chem were found at high latitudes of the Northern Hemisphere in summer. These results are helpful for understanding the model uncertainties as well as to further improve the CO2 estimation. |
format |
Text |
author |
Yingying Jing Tianxing Wang Peng Zhang Lin Chen Na Xu Ya Ma |
author_facet |
Yingying Jing Tianxing Wang Peng Zhang Lin Chen Na Xu Ya Ma |
author_sort |
Yingying Jing |
title |
Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements |
title_short |
Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements |
title_full |
Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements |
title_fullStr |
Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements |
title_full_unstemmed |
Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements |
title_sort |
global atmospheric co2 concentrations simulated by geos-chem: comparison with gosat, carbon tracker and ground-based measurements |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2018 |
url |
https://doi.org/10.3390/atmos9050175 |
op_coverage |
agris |
long_lat |
ENVELOPE(26.600,26.600,67.417,67.417) |
geographic |
Ny-Ålesund Sodankylä |
geographic_facet |
Ny-Ålesund Sodankylä |
genre |
Ny Ålesund Ny-Ålesund Sodankylä |
genre_facet |
Ny Ålesund Ny-Ålesund Sodankylä |
op_source |
Atmosphere; Volume 9; Issue 5; Pages: 175 |
op_relation |
Air Quality https://dx.doi.org/10.3390/atmos9050175 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/atmos9050175 |
container_title |
Atmosphere |
container_volume |
9 |
container_issue |
5 |
container_start_page |
175 |
_version_ |
1774721409517355008 |