Interpreting the variability of space-borne CO<sub>2</sub> column-averaged volume mixing ratios over North America using a chemistry transport model

We use the GEOS-Chem chemistry transport model to interpret the sources and sinks of CO<sub>2</sub> that determine variability of column-averaged volume mixing ratios (CVMRs), as observed by the SCIAMACHY satellite instrument, during the 2003 North American growing season. GEOS-Chem gene...

Full description

Bibliographic Details
Main Authors: P. S. Monks, M. P. Barkley, P. I. Palmer
Format: Article
Language:English
Published: Copernicus Publications 2008-10-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/8/5855/2008/acp-8-5855-2008.pdf
_version_ 1811275363710402560
author P. S. Monks
M. P. Barkley
P. I. Palmer
author_facet P. S. Monks
M. P. Barkley
P. I. Palmer
author_sort P. S. Monks
collection DOAJ
description We use the GEOS-Chem chemistry transport model to interpret the sources and sinks of CO<sub>2</sub> that determine variability of column-averaged volume mixing ratios (CVMRs), as observed by the SCIAMACHY satellite instrument, during the 2003 North American growing season. GEOS-Chem generally reproduces the magnitude and seasonal cycle of observed CO<sub>2</sub> surface VMRs across North America and is quantitatively consistent with column VMRs in later years. However, it cannot reproduce the magnitude or variability of FSI-WFM-DOAS SCIAMACHY CVMRs. We use model tagged tracers to show that local fluxes largely determine CVMR variability over North America, with the largest individual CVMR contributions (1.1%) from the land biosphere. Fuel sources are relatively constant while biomass burning makes a significant contribution only during midsummer. We also show that non-local sources contribute significantly to total CVMRs over North America, with the boreal Asian land biosphere contributing close to 1% in midsummer at high latitudes. We used the monthly-mean Jacobian matrix for North America to illustrate that:~1) North American CVMRs represent a superposition of many weak flux signatures, but differences in flux distributions should permit independent flux estimation; and 2) the atmospheric e-folding lifetimes for many of these flux signatures are 3–4 months, beyond which time they are too well-mixed to interpret. These long lifetimes will improve the efficacy of observed CVMRs as surface CO<sub>2</sub> flux constraints.
first_indexed 2024-04-12T23:36:33Z
format Article
id doaj.art-f4446509c6934e4f9b1d6aa26bb0ab6d
institution Directory Open Access Journal
issn 1680-7316
1680-7324
language English
last_indexed 2024-04-12T23:36:33Z
publishDate 2008-10-01
publisher Copernicus Publications
record_format Article
series Atmospheric Chemistry and Physics
spelling doaj.art-f4446509c6934e4f9b1d6aa26bb0ab6d2022-12-22T03:12:07ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242008-10-0181958555868Interpreting the variability of space-borne CO<sub>2</sub> column-averaged volume mixing ratios over North America using a chemistry transport modelP. S. MonksM. P. BarkleyP. I. PalmerWe use the GEOS-Chem chemistry transport model to interpret the sources and sinks of CO<sub>2</sub> that determine variability of column-averaged volume mixing ratios (CVMRs), as observed by the SCIAMACHY satellite instrument, during the 2003 North American growing season. GEOS-Chem generally reproduces the magnitude and seasonal cycle of observed CO<sub>2</sub> surface VMRs across North America and is quantitatively consistent with column VMRs in later years. However, it cannot reproduce the magnitude or variability of FSI-WFM-DOAS SCIAMACHY CVMRs. We use model tagged tracers to show that local fluxes largely determine CVMR variability over North America, with the largest individual CVMR contributions (1.1%) from the land biosphere. Fuel sources are relatively constant while biomass burning makes a significant contribution only during midsummer. We also show that non-local sources contribute significantly to total CVMRs over North America, with the boreal Asian land biosphere contributing close to 1% in midsummer at high latitudes. We used the monthly-mean Jacobian matrix for North America to illustrate that:~1) North American CVMRs represent a superposition of many weak flux signatures, but differences in flux distributions should permit independent flux estimation; and 2) the atmospheric e-folding lifetimes for many of these flux signatures are 3–4 months, beyond which time they are too well-mixed to interpret. These long lifetimes will improve the efficacy of observed CVMRs as surface CO<sub>2</sub> flux constraints.http://www.atmos-chem-phys.net/8/5855/2008/acp-8-5855-2008.pdf
spellingShingle P. S. Monks
M. P. Barkley
P. I. Palmer
Interpreting the variability of space-borne CO<sub>2</sub> column-averaged volume mixing ratios over North America using a chemistry transport model
Atmospheric Chemistry and Physics
title Interpreting the variability of space-borne CO<sub>2</sub> column-averaged volume mixing ratios over North America using a chemistry transport model
title_full Interpreting the variability of space-borne CO<sub>2</sub> column-averaged volume mixing ratios over North America using a chemistry transport model
title_fullStr Interpreting the variability of space-borne CO<sub>2</sub> column-averaged volume mixing ratios over North America using a chemistry transport model
title_full_unstemmed Interpreting the variability of space-borne CO<sub>2</sub> column-averaged volume mixing ratios over North America using a chemistry transport model
title_short Interpreting the variability of space-borne CO<sub>2</sub> column-averaged volume mixing ratios over North America using a chemistry transport model
title_sort interpreting the variability of space borne co sub 2 sub column averaged volume mixing ratios over north america using a chemistry transport model
url http://www.atmos-chem-phys.net/8/5855/2008/acp-8-5855-2008.pdf
work_keys_str_mv AT psmonks interpretingthevariabilityofspacebornecosub2subcolumnaveragedvolumemixingratiosovernorthamericausingachemistrytransportmodel
AT mpbarkley interpretingthevariabilityofspacebornecosub2subcolumnaveragedvolumemixingratiosovernorthamericausingachemistrytransportmodel
AT pipalmer interpretingthevariabilityofspacebornecosub2subcolumnaveragedvolumemixingratiosovernorthamericausingachemistrytransportmodel