A simple empirical model estimating atmospheric CO<sub>2</sub> background concentrations

A simple empirical CO<sub>2</sub> model (SECM) is presented to estimate column-average dry-air mole fractions of atmospheric CO<sub>2</sub> (XCO<sub>2</sub>) as well as mixing ratio profiles. SECM is based on a simple equation depending on 17 empirical parameter...

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Main Authors: H. Bovensmann, A. J. Cogan, S. Guerlet, J. Heymann, F. Hase, O. Schneising, M. Buchwitz, M. Reuter, J. P. Burrows
Format: Article
Language:English
Published: Copernicus Publications 2012-06-01
Series:Atmospheric Measurement Techniques
Online Access:http://www.atmos-meas-tech.net/5/1349/2012/amt-5-1349-2012.pdf
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spelling doaj-ea2fc8c87bea4bf2baa9c3cb6eadbf772020-11-25T01:00:30ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482012-06-01561349135710.5194/amt-5-1349-2012A simple empirical model estimating atmospheric CO<sub>2</sub> background concentrationsH. BovensmannA. J. CoganS. GuerletJ. HeymannF. HaseO. SchneisingM. BuchwitzM. ReuterJ. P. BurrowsA simple empirical CO<sub>2</sub> model (SECM) is presented to estimate column-average dry-air mole fractions of atmospheric CO<sub>2</sub> (XCO<sub>2</sub>) as well as mixing ratio profiles. SECM is based on a simple equation depending on 17 empirical parameters, latitude, and date. The empirical parameters have been determined by least squares fitting to NOAA's (National Oceanic and Atmospheric Administration) assimilation system CarbonTracker version 2010 (CT2010). Comparisons with TCCON (total carbon column observing network) FTS (Fourier transform spectrometer) measurements show that SECM XCO<sub>2</sub> agrees quite well with reality. The synthetic XCO<sub>2</sub> values have a standard error of 1.39 ppm and systematic station-to-station biases of 0.46 ppm. Typical column averaging kernels of the TCCON FTS, a SCIAMACHY (Scanning Imaging Absorption Spectrometer for Atmospheric CHartographY), and two GOSAT (Greenhouse gases Observing SATellite) XCO<sub>2</sub> retrieval algorithms have been used to assess the smoothing error introduced by using SECM profiles instead of CT2010 profiles as a priori. The additional smoothing error amounts to 0.17 ppm for a typical SCIAMACHY averaging kernel and is most times much smaller for the other instruments (e.g. 0.05 ppm for a typical TCCON FTS averaging kernel). Therefore, SECM is well suited to provide a priori information for state-of-the-art ground-based (FTS) and satellite-based (GOSAT, SCIAMACHY) XCO<sub>2</sub> retrievals. Other potential applications are: (i) near real-time processing systems (that cannot make use of models like CT2010 operated in delayed mode), (ii) "CO<sub>2</sub> proxy" methods for XCH<sub>4</sub> retrievals (as correction for the XCO<sub>2</sub> background), and (iii) observing system simulation experiments especially for future satellite missions.http://www.atmos-meas-tech.net/5/1349/2012/amt-5-1349-2012.pdf
collection DOAJ
language English
format Article
sources DOAJ
author H. Bovensmann
A. J. Cogan
S. Guerlet
J. Heymann
F. Hase
O. Schneising
M. Buchwitz
M. Reuter
J. P. Burrows
spellingShingle H. Bovensmann
A. J. Cogan
S. Guerlet
J. Heymann
F. Hase
O. Schneising
M. Buchwitz
M. Reuter
J. P. Burrows
A simple empirical model estimating atmospheric CO<sub>2</sub> background concentrations
Atmospheric Measurement Techniques
author_facet H. Bovensmann
A. J. Cogan
S. Guerlet
J. Heymann
F. Hase
O. Schneising
M. Buchwitz
M. Reuter
J. P. Burrows
author_sort H. Bovensmann
title A simple empirical model estimating atmospheric CO<sub>2</sub> background concentrations
title_short A simple empirical model estimating atmospheric CO<sub>2</sub> background concentrations
title_full A simple empirical model estimating atmospheric CO<sub>2</sub> background concentrations
title_fullStr A simple empirical model estimating atmospheric CO<sub>2</sub> background concentrations
title_full_unstemmed A simple empirical model estimating atmospheric CO<sub>2</sub> background concentrations
title_sort simple empirical model estimating atmospheric co<sub>2</sub> background concentrations
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2012-06-01
description A simple empirical CO<sub>2</sub> model (SECM) is presented to estimate column-average dry-air mole fractions of atmospheric CO<sub>2</sub> (XCO<sub>2</sub>) as well as mixing ratio profiles. SECM is based on a simple equation depending on 17 empirical parameters, latitude, and date. The empirical parameters have been determined by least squares fitting to NOAA's (National Oceanic and Atmospheric Administration) assimilation system CarbonTracker version 2010 (CT2010). Comparisons with TCCON (total carbon column observing network) FTS (Fourier transform spectrometer) measurements show that SECM XCO<sub>2</sub> agrees quite well with reality. The synthetic XCO<sub>2</sub> values have a standard error of 1.39 ppm and systematic station-to-station biases of 0.46 ppm. Typical column averaging kernels of the TCCON FTS, a SCIAMACHY (Scanning Imaging Absorption Spectrometer for Atmospheric CHartographY), and two GOSAT (Greenhouse gases Observing SATellite) XCO<sub>2</sub> retrieval algorithms have been used to assess the smoothing error introduced by using SECM profiles instead of CT2010 profiles as a priori. The additional smoothing error amounts to 0.17 ppm for a typical SCIAMACHY averaging kernel and is most times much smaller for the other instruments (e.g. 0.05 ppm for a typical TCCON FTS averaging kernel). Therefore, SECM is well suited to provide a priori information for state-of-the-art ground-based (FTS) and satellite-based (GOSAT, SCIAMACHY) XCO<sub>2</sub> retrievals. Other potential applications are: (i) near real-time processing systems (that cannot make use of models like CT2010 operated in delayed mode), (ii) "CO<sub>2</sub> proxy" methods for XCH<sub>4</sub> retrievals (as correction for the XCO<sub>2</sub> background), and (iii) observing system simulation experiments especially for future satellite missions.
url http://www.atmos-meas-tech.net/5/1349/2012/amt-5-1349-2012.pdf
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