References

ACP

Atmospheric Chemistry and Physics

ACP

1680-7324

Copernicus GmbH

Göttingen, Germany

10.5194/acp-6-4483-2006

Comparisons between SCIAMACHY atmospheric CO2 retrieved using (FSI) WFM-DOAS to ground based FTIR data and the TM3 chemistry transport model

Barkley

M. P.

¹ Monks

P. S.

² Frieß

¹ ⁵ Mittermeier

R. L.

³ Fast

³ Körner

⁴ Heimann

⁴

EOS, Space Research Centre, Department of Physics & Astronomy, University of Leicester, Leicester, UK

Department of Chemistry, University of Leicester, Leicester, UK

Meteorological Service of Canada (MSC), Downsview, Ontario, Canada

Max Planck Institute for Biogeochemistry (MPI-BGC), Jena, Germany

present address: Institute of Environmental Physics, Heidelberg, Germany

06 10 2006

6 12 4483 4498

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.

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Atmospheric CO2 concentrations, retrieved from spectral measurements made in the near infrared (NIR) by the SCIAMACHY instrument, using Full Spectral Initiation Weighting Function Modified Differential Optical Absorption Spectroscopy (FSI WFM-DOAS), are compared to ground based Fourier Transform Infrared (FTIR) data and to the output from a global chemistry-transport model. Analysis of the FSI WFM-DOAS retrievals with respect to the ground based FTIR instrument, located at Egbert, Canada, show good agreement with an average negative bias of approximately −4.0% with a standard deviation of  3.0%. This bias which exhibits an apparent seasonal trend, is of unknown origin, though slight differences between the averaging kernels of the instruments and the limited temporal coverage of the FTIR data may be the cause. The relative scatter of the retrieved vertical column densities is larger than the spread of the FTIR measurements. Normalizing the CO2 columns using the surface pressure does not affect the magnitude of this bias although it slightly decreases the scatter of the FSI data. Comparisons of the FSI retrievals to the TM3 global chemistry-transport model, performed over four selected Northern Hemisphere scenes show reasonable agreement. The correlation, between the time series of the SCIAMACHY and model monthly scene averages, are  0.7 or greater, demonstrating the ability of SCIAMACHY to detect seasonal changes in the CO2 distribution. The amplitude of the seasonal cycle, peak to peak, observed by SCIAMACHY however, is larger by a factor of 2–3 with respect to the model, which cannot be explained. The yearly means detected by SCIAMACHY are within 2% of those of the model with the mean difference between the CO2 distributions also approximately 2.0%. Additionally, analysis of the retrieved CO2 distributions reveals structure not evident in the model fields which correlates well with land classification type. From these comparisons, it is estimated that the overall bias of the CO2 columns retrieved by the FSI algorithm is <4.0% with the precision of monthly 1°×1° gridded data close to 1.0%.

References 1

Barkley, M. P., Frie$ß$, U., and Monks, P. S.: Measuring atmospheric \chemCO_2 from space using Full Spectral Initiation (FSI) WFM-DOAS, Atmos. Chem. Phys., 6, 3517–3534, 2006.

Bovensmann, H., Burrows, J. P., Buchwitz, M., Frerick, J., Nöel, S., Rozanov, V. V., Chance, K. V., and Goede, A.: SCIAMACHY – mission objectives and measurement modes, J. Atmos. Sci., 56, 127–150, 1999.

Buchwitz, M., Rozanov, V. V., and Burrows, J. P.: A near infrared optimized DOAS method for the fast global retrieval of atmospheric \chemCH_4, CO, \chemCO_2, \chemH_2O, and \chemN_2O total column amounts from SCIAMACHY/ENVISAT-1 nadir radiances, J. Geophys. Res., 105, 15 231–15 246, 2000.

Buchwitz, M., de Beek, R., Bramstedt, K., Nöel, S., Bovensmann, H., and Burrows, J. P.: Global carbon monoxide as retrieved from SCIAMACHY by WFM-DOAS, Atmos. Chem. Phys., 4, 1945–1960, 2004.

Buchwitz, M., de Beek, R., Burrows, J. P., Bovensmann, H., T.Warneke, Notholt, J., Meirink, J. F., Goede, A. P. H., Bergamaschi, P., Körner, S., Heimann, M., and Schulz, A.: Atmospheric methane and carbon dioxide from SCIAMACHY satellite data: initial comparison with chemistry and transport models, Atmos. Chem. Phys., 5, 941–962, 2005a.

Buchwitz, M., de Beek, R., Nöel, S., Burrows, J. P., Bovensmann, H., Bremer, H., Bergamaschi, P., Körner, S., and Heimann, M.: Carbon monoxide, methane and carbon dioxide columns retrieved from SCIAMACHY by WFM-DOAS: year 2003 initial data set, Atmos. Chem. Phys., 5, 3313–3329, 2005b.

Buchwitz, M., de Beek, R., No\"el, S., Burrows, J. P., Bovensmann, H., Schneising, O., Khlystova, I., Bruns, M., Bremer, H., Bergamaschi, P., Körner, S., and Heimann, M.: Atmospheric carbon gases retrieved from SCIAMACHY by WFM-DOAS: version 0.5 CO and CH4 and impact of calibration improvements on CO2 retrieval, Atmos. Chem. Phys., 6, 2727–2751, 2006.

Chahine, M., Barnet, C., Olsen, E. T., Chen, L., and Maddy, E.: On the determination of atmospheric minor gases by the method of vanishing partial derivatives with application to \chemCO_2, Geophys. Res. Lett., 32, L22 803, doi:10.1029/2005GL024 165, 2005.

Chédin, A., Hollingsworth, A., Scott, N. A., Serrar, S., Crevoisier, C., and Armante, R.: Annual and seasonal variations of atmospheric \chemCO_2, \chemN_2O and \chemCO concentrations retrieved from NOAA/TOVS satellite observations, Geophys. Res. Lett., 29(8), 1269, doi:10.1029/2001GL014 082, 2002.

Chédin, A., Serrar, S., Scott, N. A., Crevoisier, C., and Armante, R.: First global measurement of midtropospheric \chemCO_2 from NOAA polar satellites: Tropical zone, J. Geophys. Res., 108(D18), 4581, doi:10.1029/2003JD003 439, 2003.

Chevallier, F., Engelen, R. J., and Peylin, P.: The contribution of AIRS data to the estimation of \chemCO_2 sources and sinks, Geophys. Res. Lett., 32, L23 801, doi:10.1029/2005GL024 229, 2005.

Coldewey-Egbers, M., Weber, M., Lamsal, L. N., de Beek, R., Buchwitz, M., and Burrows, J. P.: Total ozone retrieval from GOME UV spectral data using the weighting function DOAS approach, Atmos. Chem. Phys., 5, 1015–1025, 2005.

Crisp, D., Atlas, R., Bréon, F.-M., Brown, L., Burrows, J., Ciais, P., Connor, B., Doney, S., Fung, I., Jacob, D., Miller, C., O'Brien, D., Pawson, S., Randerson, J., Rayner, P., Salawitch, R., Sander, S., Sen, B., Stephens, G., Tans, P., Toon, G., Wennberg, P., Wofsy, S., Yung, Y., Kuang, Z., Chudasama, B., Sprague, G., Wiess, B., Pollock, R., Kenyon, D., and Schroll, S.: The Orbiting Carbon Observatory (OCO) mission, Adv. Space Res., 34(4), 700–709, 2004. %

% Dils, B., De Mazière, M., Blumenstock, T., Buchwitz, M., de Beek, R., % Demoulin, P., Duchatelet, P., Fast, H., Frankenberg, C., Gloudemans, A., % Griffith, D., Jones, N., Kerzenmacher, T., Kramer, I., Mahieu, E., Mellqvist, % J., Mittermeier, R. L., Notholt, J., Rinsland, C. P., Schrijver, H., Smale, % D., Strandberg, A., Straume, A. G., Stremme, W., Strong, K., Sussmann, R., % Taylor, J., van den Broek, M., Wagner, T., Warneke, T., Wiacek, A., and Wood, % S.: Comparisons between SCIAMACHY and ground-based FTIR data for total % columns of \chemCO, \chemCH_4, \chemCO_2 and \chemN_2O, Atmos. Chem. % Phys. Discuss., 5, 2677–2717, 2005.

Dils, B., De Mazière, M., Müller, J. F., Blumenstock, T., Buchwitz, M., de Beek, R., Demoulin, P., Duchatelet, P., Fast, H., Frankenberg, C., Gloudemans, A., Griffith, D., Jones, N., Kerzenmacher, T., Kramer, I., Mahieu, E., Mellqvist, J., Mittermeier, R. L., Notholt, J., Rinsland, C. P., Schrijver, H., Smale, D., Strandberg, A., Straume, A. G., Stremme, W., Strong, K., Sussmann, R., Taylor, J., van den Broek, M., Velazco, V., Wagner, T., Warneke, T., Wiacek, A., and Wood, S.: Comparisons between SCIAMACHY and ground-based FTIR data for total columns of \chemCO, \chemCH_4, \chemCO_2 and \chemN_2O, Atmos. Chem. Phys., 6, 1953–1976, 2006.

Frankenberg, C., Platt, U., and Wagner, T.: Retrieval of CO from SCIAMACHY onboard ENVISAT: detection of strongly polluted areas and seasonal patterns in global CO abundances, Atmos. Chem. Phys., 5, 1639–1644, 2005.

Friedlingstein, P., Dufresne, J.-L., Cox, P. M., and Rayner, P.: How positive is the feedback between climate change and the carbon cycle?, Tellus, 55B, 692–700, 2003.

Grzegorski, M., Frankenberg, C., Platt, U., Sanghavi, S., Fournier, N., Stammes, P., and Wagner, T.: Application of the HICRU cloud algorithm on SCIAMACHY: design and intercomparision, Geophys. Res. Abstr., 7, 08 316, 2005.

Gurney, K. R., Law, R. M., Denning, A. S., Rayner, P. J., Baker, D., Bousquet, P., Bruhwilerk, L., Chen, Y.-H., Ciais, P., Fan, S., Fung, I. Y., Gloor, M., Heimann, M., Higuchi, K., John, J., Maki, T., Maksyutov, S., Masariek, K., Peylin, P., Pratherkk, M., Pakkk, B. C., Randerson, J., Sarmiento, J., Taguchi, S., Takahashi, T., and Yuen, C.-W.: Towards robust regional estimates of sources and sinks using atmospheric transport models, Nature, 415, 626–630, 2002.

Heimann, M. and Körner, S.: The Global Atmospheric Tracer Model TM3, Model Description and Users Manual Release 3.8a, Tech. Rep. 5, Max Planck Institute for Biogeochemistry (MPI-BGC), Jena, Germany, 2003.

Houweling, S., Bréon, F.-M., Aben, I., Rödenbeck, C., Gloor, M., Heimann, M., and Ciais, P.: Inverse modeling of \chemCO_2 sources and sinks using satellite data: a synthetic inter-comparison of measurement techniques and their performance as a function of space and time, Atmos. Chem. Phys., 4, 523–538, 2004.

Houweling, S., Hartmann, W., Aben, I., Schrijver, H., Skidmore, J., Roelofs, G.-J., and Bréon, F.-M.: Evidence of systematic errors in SCIAMACHY-observed \chemCO_2 due to aerosols, Atmos. Chem. Phys., 5, 3003–3013, 2005.

Intergovernmental Panel on Climate Change: Climate Change 2001: Synthesis Report: Third Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, New York, 2001.

Kleipool, Q.: Algorithm Specification for Dark Signal Determination, Tech. rep., SRON-SCIA-30 PhE-RP-009, SRON, 2003a.

Kleipool, Q.: Recalculation of OPTEC5 Non-Linearity, Report containing the NL correction to be implemented in the data processor, Tech. rep. SRON-SCIA-PhE-RP-013, SRON, 2003b.

Kneizys, F. X., Abreu, L. W., Anderson, G. P., Shettle, E. P., Chetwynd, J. H., Shettle, E. P., Berk, A., Bernstein, L., Robertson, D., Acharya, P., Rothman, L., Selby, J. E. A., Allery, W. O., and Clough, S. A.: The MODTRAN 2/3 report and LOWTRAN 7 model, Tech. rep., Philips Laboratory, Hanscom AFB, 1996.

Krijger, J. M., Aben, I., and Schrijver, H.: Distinction between clouds and ice/snow covered surfaces in the identification of cloud-free observations using SCIAMACHY PMDs, Atmos. Chem. Phys., 5, 2279–2738, 2005.

McClatchey, R. A., Fenn, R. W., Selby, J. E. A., Volz, F. E., and Garing, J. S.: Optical properties of the atmosphere, 3rd ed., Environ. Res. Pap. 411, AFCRL-72-0497, Air Force Cambridge Res. Lab., Bedford, Mass., 1972.

Murphy, C., Bell, W., Woods, P., Demoulin, P., Galle, B., Mellqvist, J., Arlander, W., Notholt, J., Goldman, A., Toon, G., Blavier, J.-F., Sen, B., Coffey, M., Hannigan, J., Mankin, W., Jones, N., Griffith, D., Meier, A., Blumenstock, T., Fast, H., Mittermeier, R., and Makino, Y.: Validation of NDSC Measurements of Ozone, Reservoir Compounds and Dynamical Tracers: Results of a Series of Side-by-Side Instrument Intercomparisons, NDSC 2001 Symposium, Arcachon, France, 24–27 September, 2001.

Nöel, S., Buchwitz, M., and Burrows, J. P.: First retrieval of global water vapour column amounts from SCIAMACHY, Atmos. Chem. Phys., 4, 111–125, 2004.

Olivier, J. G. J. and Berdowski, J. J. M.: Global emissions sources and sinks, in: The Climate System, edited by: Berdowski, J., Guicherit, R., and Heij, B. J., A. Balkema Publishers/Swets & Zeitlinger Publishers, Lisse, The Netherlands, 33–78 pp., 2001.

Platt, U.: Differential optical absorption spectroscopy (DOAS), in Air Monitoring by Spectroscopic Techniques, John Wiley, New York, 1994.

Rayner, P. J. and O'Brien, D. M.: The utility of remotely sensed \chemCO_2 concetration data in surface source inversions, Geophys. Res. Lett., 28, 175–178, 2001.

Remedios, J. J., Parker, R. J., Panchal, M., Leigh, R. J., and Corlett, G.: Signatures of atmospheric and surface climate variables through analyses of infrared spectra (SATSCAN-IR), Proceedings of the first EPS/METOP RAO Workshop, ESRIN, 2006.

Rothman, L., Jacquemart, D., Barbe, A., Benner, C. D., Birk, M., Brown, L. R., Carleer, M. R., Chackerian Jr., C., Chance, K., Coudert, L. H., Dana, V., Devi, V. M., Flaud, J.-M., Gamache, R. R., Goldman, A., Hartmann, J.-M., Jucks, J. W., Maki, A. G., Mandin, J.-Y., Massie, S. T., Orphal, J., Perrin, A., Rinsland, C. P., Smith, M., Tennyson, J., Tolchenov, R. N., Toth, R. A., Vander Auwera, J., Varanasi, P., and Wagner, G.: The \emphHITRAN 2004 molecular spectroscopic database, J. Quant. Spectrosc. Radiat. Transfer, 96, 193–204, 2005.

Rozanov, V. V., Buchwitz, M., Eichmann, K. U., de Beek, R., and Burrows, J. P.: SCIATRAN - a new radiative transfer model for geophysical applications in the 240-2400 nm spectral region: The pseudo-spherical version, presented at COSPAR 2000, Adv. Space Res., 29(11), 1831–1835, 2002.

Sabine, C. L., Freely, R. A., Gruber, N., Key, R. M., Lee, K., Bullister, J. L., Wanninkhof, R., Wong, C. S., Wallace, D. W. R., Tilbrook, B., Millero, F. J., Peng, T.-H., Kozyr, A., Ono, T., and Roso, A. F.: The Oceanic Sink for Anthropogenic \chemCO_2, Science, 305, 367–371, 2004.

Siegenthaler, U., Stocker, T. F., Monnin, E., Lüthi, D., Schwander, J., Stauffer, B., Raynaud, D., Barnola, J.-M., Fischer, H., and Valérie Masson-Delmotte, J. J.: Stable Carbon Cycle Climate Relationship During the Late Pleistocene, Science, 310, 1313–1317, 2005.

Takahashi, T., Sutherland, S. C., Sweeney, C., Poisson, A., Metzl, N., Tilbrook, B., Bates, N., Wanninkhof, R., Feely, R. A., Sabine, C., Olafsson, J., and Nojiri, Y.: Global sea-air \chemCO_2 flux based on climatological surface ocean $p$\chemCO_2, and seasonal biological and temperature effects, Deep-Sea Res. II, 49, 1601–1622, 2002.

Thornton, P. E., Running, S. W., and Hunt, E. R.: Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1, Model product. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA, 2005.

van der Werf, G. R., Randerson, J. T., Collatz, G. J., and Giglio, L.: Carbon emissions from fires in tropical and subtropical ecosystems, Global Change Biology, 9, 547–562, 2003.

Wennberg, P., Washenfelder, R., Yavin, Y., Toon, G., Blavier, J.-F., Salawitch, R., Connor, B., Sherlock, V., Wood, S., Notholt, J., Warneke, T., Griffith, D., Deutscher, N., Bryant, G., and Jones, N.: The Total Carbon Column Observing Network (TCCON), AGU, 86(52), Fall Meet. Suppl., Abstract A12D-01, 2005.