References

ACP

Atmospheric Chemistry and Physics

ACP

1680-7324

Copernicus GmbH

Göttingen, Germany

10.5194/acp-7-3597-2007

Assessing the near surface sensitivity of SCIAMACHY atmospheric CO2 retrieved using (FSI) WFM-DOAS

Barkley

M. P.

¹ ¹⁰ Monks

P. S.

² Hewitt

A. J.

¹ Machida

³ Desai

⁴ Vinnichenko

⁵ ¹¹ Nakazawa

⁶ Yu Arshinov

⁷ Fedoseev

⁸ Watai

⁹

EOS, Department of Physics and Astronomy, University of Leicester, UK

Department of Chemistry, University of Leicester, UK

National Institute for Environmental Studies, Tsukuba, Japan

National Centre for Atmospheric Research, Boulder, CO, USA

Central Aerological Observatory, Dolgoprudny, Russia

Tohoku University, Sendai, Japan

Institute of Atmospheric Optics, Tomsk, Russia

Permafrost Institute, Yakutsk, Russia

Global Environmental Forum, Tsukuba, Japan

now at: Institute for Atmospheric and Environmental Science, School of GeoSciences, University of Edinburgh, UK

deceased 2006

09 07 2007

7 13 3597 3619

This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

This article is available from http://www.atmos-chem-phys.net/7/3597/2007/acp-7-3597-2007.html

The full text article is available as a PDF file from http://www.atmos-chem-phys.net/7/3597/2007/acp-7-3597-2007.pdf

Satellite observations of atmospheric CO2 offer the potential to identify regional carbon surface sources and sinks and to investigate carbon cycle processes. The extent to which satellite measurements are useful however, depends on the near surface sensitivity of the chosen sensor. In this paper, the capability of the SCIAMACHY instrument on board ENVISAT, to observe lower tropospheric and surface CO2 variability is examined. To achieve this, atmospheric CO2 retrieved from SCIAMACHY near infrared (NIR) spectral measurements, using the Full Spectral Initiation (FSI) WFM-DOAS algorithm, is compared to in-situ aircraft observations over Siberia and additionally to tower and surface CO2 data over Mongolia, Europe and North America. Preliminary validation of daily averaged SCIAMACHY/FSI CO2 against ground based Fourier Transform Spectrometer (FTS) column measurements made at Park Falls, reveal a negative bias of about −2.0% for collocated measurements within ±1.0° of the site. However, at this spatial threshold SCIAMACHY can only capture the variability of the FTS observations at monthly timescales. To observe day to day variability of the FTS observations, the collocation limits must be increased. Furthermore, comparisons to in-situ CO2 observations demonstrate that SCIAMACHY is capable of observing a seasonal signal that is representative of lower tropospheric variability on (at least) monthly timescales. Out of seventeen time series comparisons, eleven have correlation coefficients of 0.7 or more, and have similar seasonal cycle amplitudes. Additional evidence of the near surface sensitivity of SCIAMACHY, is provided through the significant correlation of FSI derived CO2 with MODIS vegetation indices at over twenty selected locations in the United States. The SCIAMACHY/MODIS comparison reveals that at many of the sites, the amount of CO2 variability is coincident with the amount of vegetation activity. The presented analysis suggests that SCIAMACHY has the potential to detect CO2 variability within the lowermost troposphere arising from the activity of the terrestrial biosphere.

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