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Assessing the Near Surface Sensitivity of Sciamachy Atmospheric Co2 Retrieved Using (Fsi) Wfm-doas : Volume 7, Issue 13 (09/07/2007)

By Barkley, M. P.

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Book Id: WPLBN0003989954
Format Type: PDF Article :
File Size: Pages 23
Reproduction Date: 2015

Title: Assessing the Near Surface Sensitivity of Sciamachy Atmospheric Co2 Retrieved Using (Fsi) Wfm-doas : Volume 7, Issue 13 (09/07/2007)  
Author: Barkley, M. P.
Volume: Vol. 7, Issue 13
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2007
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Desai, A., Fedoseev, N., Vinnichenko, N., Barkley, M. P., Hewitt, A. J., Machida, T.,...Arshinov, M. Y. (2007). Assessing the Near Surface Sensitivity of Sciamachy Atmospheric Co2 Retrieved Using (Fsi) Wfm-doas : Volume 7, Issue 13 (09/07/2007). Retrieved from http://www.ebooklibrary.org/


Description
Description: EOS, Department of Physics and Astronomy, University of Leicester, UK. 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.


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

Excerpt
Bakwin, P S. and Tans, P P.: Measurements of carbon dioxide on a very tall tower, Tellus, 47B, 535–549, 1995.; Barkley, M P., Frieß, U., and Monks, P S.: Measuring atmospheric \chemCO_2 from space using Full Spectral Initiation (FSI) WFM-DOAS, Atmos. Chem. Phys., 6, 3517–3534, 2006a.; Barkley, M P., Monks, P S., and Engelen, R J.: Comparison of SCIAMACHY and AIRS CO2 measurements over North America during the summer and autumn of 2003, Geophys. Res. Lett., 33, L20805, doi:10.1029/2006GL026807, 2006b.; Barkley, M P., Monks, P S., Frieß, U., Mittermeier, R L., Fast, H., Körner, S., and Heimann, M.: Comparisons between SCIAMACHY atmospheric \chemCO_2 retrieved using (FSI) WFM-DOAS to ground based FTIR data and the TM3 chemistry transport model, Atmos. Chem. Phys., 6, 4483–4498, 2006c.; Bösch, H., Toon, G C., Sen, B., Washenfelder, R., Wennberg, P O., Buchwitz, M., de~Beek, R., Burrows, J P., Crisp, D., Christi, M., Connor, B J., Natraj, V., and Yung, Y L.: Space-based Near-Infrared CO2 Retrievals: Testing the OCO Retrieval and Validation Concept Using SCIAMACHY Measurements over Park Falls, Wisconsin, J. Geophys. Res., 111, D23302, doi:10.1029/2006JD007080, 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., Burrows, J P., Bovensmann, H., Warneke, T., 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.; Desai, A R., Bolstad, P., Cook, B D., Davis, K J., and Carey, E V.: Comparing net ecosystem exchange of carbon dioxide between an old-growth and mature forest in the upper MidWest, USA, Agric. Forest Meterol., 128, 33–35, 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.; Engelen, R J. and McNally, A P.: Estimating atmospheric CO2 from advanced infrared satellite radiances within an operational four-dimensional variational (4D-Var) data assimilation system: Results and validation, J. Geophys. Res., 110, D18305, doi:10.10

 

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