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Comparisons Between Sciamachy Atmospheric Co2 Retrieved Using (Fsi) Wfm-doas to Ground Based Ftir Data and the Tm3 Chemistry Transport Model : Volume 6, Issue 12 (06/10/2006)

By Barkley, M. P.

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Book Id: WPLBN0003994589
Format Type: PDF Article :
File Size: Pages 16
Reproduction Date: 2015

Title: Comparisons Between Sciamachy Atmospheric Co2 Retrieved Using (Fsi) Wfm-doas to Ground Based Ftir Data and the Tm3 Chemistry Transport Model : Volume 6, Issue 12 (06/10/2006)  
Author: Barkley, M. P.
Volume: Vol. 6, Issue 12
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2006
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Frieß, U., Körner, S., Monks, P. S., Barkley, M. P., Heimann, M., Mittermeier, R. L., & Fast, H. (2006). Comparisons Between Sciamachy Atmospheric Co2 Retrieved Using (Fsi) Wfm-doas to Ground Based Ftir Data and the Tm3 Chemistry Transport Model : Volume 6, Issue 12 (06/10/2006). Retrieved from http://community.ebooklibrary.org/


Description
Description: EOS, Space Research Centre, Department of Physics & Astronomy, University of Leicester, Leicester, UK. 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%.

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

Excerpt
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.

 

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