References

ACPD

Atmospheric Chemistry and Physics Discussions

ACPD

1680-7375

Copernicus GmbH

Göttingen, Germany

10.5194/acpd-10-6755-2010

GOMOS data characterization and error estimation

Tamminen

¹ Kyrölä

¹ Sofieva

V. F.

¹ Laine

¹ Bertaux

J.-L.

² Hauchecorne

² Dalaudier

² Fussen

³ Vanhellemont

³ Fanton-d'Andon

⁴ Barrot

⁴ Mangin

⁴ Guirlet

⁴ Blanot

⁴ Fehr

⁵ Saavedra de Miguel

⁵ Fraisse

⁶

Finnish Meteorological Institute, Earth Observation, Helsinki, Finland

Service d'Aeronomie, Paris, France

BIRA-IASB, Brussels, Belgium

ACRI ST, Sophia Antipolis, France

ESA-ESRIN, Italy

EADS-Astrium, Toulouse, France

11 03 2010

10 3 6755 6796

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The Global Ozone Monitoring by Occultation of Stars (GOMOS) instrument uses stellar occultation technique for monitoring ozone and other trace gases in the stratosphere and mesosphere. The self-calibrating measurement principle of GOMOS together with a relatively simple data retrieval where only minimal use of a priori data is required, provides excellent possibilities for long term monitoring of atmospheric composition. GOMOS uses about 180 brightest stars as the light source. Depending on the individual spectral characteristics of the stars, the signal-to-noise ratio of GOMOS is changing from star to star, resulting also varying accuracy to the retrieved profiles. We present the overview of the GOMOS data characterization and error estimation, including modeling errors, for ozone, NO2, NO3 and aerosol profiles. The retrieval error (precision) of the night time measurements in the stratosphere is typically 0.5–4% for ozone, about 10–20% for NO2, 20–40% for NO3 and 2–50% for aerosols. Mesospheric O3, up to 100 km, can be measured with 2–10% precision. The main sources of the modeling error are the incompletely corrected atmospheric turbulence causing scintillation, inaccurate aerosol modeling, uncertainties in cross sections of the trace gases and in the atmospheric temperature. The sampling resolution of GOMOS varies depending on the measurement geometry. In the data inversion a Tikhonov-type regularization with pre-defined target resolution requirement is applied leading to 2–3 km resolution for ozone and 4 km resolution for other trace gases.

References 1

Bertaux, J L., Hauchecorne, A., Dalaudier, F., Cot, C., Kyrölä, E., Fussen, D., Tamminen, J., Leppelmeier, G W., Sofieva, V., Hassinen, S., d'Andon, O F., Barrot, G., Mangin, A., Th\' eodore, B., Guirlet, M., Korablev, O., Snoeij, P., Koopman, R., and Fraisse, R.: First results on GOMOS/Envisat, Adv. Space Res., 33, 1029–1035, 2004.

Bertaux, J.-L., E., K., Fussen, D., Hauchecorne, A., Dalaudier, F., Sofieva, V., Tamminen, J., Vanhellemont, F., Fanton~d'Andon, O., Barrot, G., Mangin, A., Blanot, L., Lebrun, J., Fehr, T., Saavedra, L., and Fraisse, R.: Global Ozone Monitoring by Occultation OF stars: an overview of GOMOS measurements on ENVISAT, Atmos Chem. Phys. Discuss., in review, 2010.

Burrows, J P., Richter, A., Dehn, A., Deters, B., s Himmelmann, Voigt, S., and Orphal, J.: Atmospheric remote-sensing reference data from GOME – 2. temperature-dependent absorption cross sections of O3 in the 231–794 nm range, J. Quant. Spectrosc. Radiat. Transfer, 61, 509–517, 1999.

Dalaudier, F., Kan, V., and Gurvich, A S.: Chromatic refraction with global ozone monitoring by occultation of stars. I. Description and scintillation correction, Appl. Opt., 40, 866–877, 2001.

Fussen, D., Vanhellemont, F., Bingen, C., Kyrölä, E., Tamminen, J., Sofieva, V., Hassinen, S., Seppälä, A., Verronen, P., Bertaux, J.-L., Hauchecorne, A., Dalaudier, F., Renard, J.-B., Fraisse, R., Fanton~d'Andon, O., Barrot, G., Mangin, A., Th\' eodore, B., Guirlet, M., Koopman, R., Snoeij, P., and Saavedra, L.: Global measurement of the mesospheric sodium layer by the star occultation instrument GOMOS, Geophys. Res. Lett., 31, L24110, \doi10.1029/2004GL021618, 2004.

Hauchecorne, A., Bertaux, J.-L., Dalaudier, F., Russell, J M., Mlynczak, M G., Kyrölä, E., and Fussen, D.: Large increase of NO2 in the north polar mesosphere in January-February 2004: Evidence of a dynamical origin from GOMOS/ENVISAT and SABER/TIMED data, Geophys. Res. Lett., 34, 3810, \doi10.1029/2006GL027628, 2007.

Hays, R G. and Roble, P B.: Stellar spectra and atmospheric composition, J. Atmos. Sci., 25, 1141–1153, 1968.

Kyrölä, E. and Tamminen, J.: GOMOS mission planning, in: ESAMS99, European Symposium on Atmospheric Measurements from Space, WPP-161, 101–110, ESA, Noordwijk, 1999.

Kyrölä, E., Tamminen, J., Leppelmeier, G W., Sofieva, V., Hassinen, S., Bertaux, J.-L., Hauchecorne, A., Dalaudier, F., Cot, C., Korablev, O., d'Andon, O F., Barrot, G., Mangin, A., Theodore, B., Guirlet, M., Etanchaud, F., Snoeij, P., Koopman, R., Saavedra, L., Fraisse, R., Fussen, D., and Vanhellemont, F.: GOMOS on Envisat: An overview, Adv. Space Res., 33, 1020–1028, 2004.

Kyrölä, E., Tamminen, J., Sofieva, V., Bertaux, J.-L., Hauchecorne, A., Dalaudier, F., Blanot, L., Fussen, D., Vanhellemont, F., d'Andon, O F., Barrot, G., Mangin, A., Guirlet, M., Fehr, T., de~Miguel, L S., and Fraisse, R.: Retrieval of atmospheric parameters from GOMOS data, Atmos. Chem. Phys. Discuss. in review, 2010.

Laine, M. and Tamminen, J.: Aerosol model selection and uncertainty modelling by adaptive MCMC technique, Atmos. Chem. Phys., 8, 7697–7707, 2008.

Meijer, Y J., Swart, D. P J., Allaart, M., Andersen, S B., Bodeker, G., Boyd, Braathena, G., Calisesia, Y., Claude, H., Dorokhov, V., von~der Gathen, P., Gil, M., Godin-Beekmann, S., Goutail, F., Hansen, G., Karpetchko, A., Keckhut, P., Kelder, H M., Koelemeijer, R., Kois, B., Koopman, R M., Lambert, J.-C., Leblanc, T., McDermid, I S., Pal, S., Kopp, G., Schets, H., Stubi, R., Suortti, T., Visconti, G., , and Yela, M.: Pole-to-pole validation of ENVISAT/GOMOS ozone profiles using data from ground-based and balloon-sonde measurements, J. Geophys. Res., 109, D23305, \doi10.1029/2004JD004834, 2004.

Press, W H., Teukolsky, S A., Vetterling, W T., and Flannery, B P.: Numerical Recipes in FORTRAN, The Art of Scientific Computing, Clarendon Press, Oxford, 1992.

Rodgers, C D.: Inverse Methods for Atmospheric sounding: Theory and Practice, World Scientific, Singapore, 2000.

Seppälä, A., Verronen, P T., Clilverd, M A., Randall, C E., Tamminen, J., Sofieva, V F., Backman, L., and Kyrölä, E.: Arctic and Antarctic polar winter NOx and energetic particle precipitation in 2002–2006, Geophys. Res. Lett., 34, L12810, \doi10.1029/2007GL029733, 2007.

Sofieva, V., Tamminen, J., and Kyrölä, E.: Modeling errors of GOMOS measurements: A sensitivity study, in: Atmosphere and Climate, Studies by Occultation Methods, edited by: Foelsche, U., Kirchengast, G., and Steiner, A., 67–78, Springer, 2006.

Sofieva, V. F., Tamminen, J., Haario, H., Kyr�l�, E., and Lehtinen, M.: Ozone profile smoothness as a priori information in the inversion of limb measurements, Ann. Geophys., 22, 3411–3420, 2004.

Sofieva, V. F., Kan, V., Dalaudier, F., Kyrölä, E., Tamminen, J., Bertaux, J.-L., Hauchecorne, A., Fussen, D., and Vanhellemont, F.: Influence of scintillation on quality of ozone monitoring by GOMOS, Atmos. Chem. Phys., 9, 9197–9207, 2009.

Tamminen, J.: Validation of nonlinear inverse algorithms with Markov chain Monte Carlo method, J. Geophys. Res., 109, D19303, \doi10.1029/2004JD004927, 2004.

Tamminen, J. and Kyrölä, E.: Bayesian solution for nonlinear and non-Gaussian inverse problems by Markov chain Monte Carlo method, J. Geophys. Res., 106, 14 377–14 390, 2001.

Tamminen, J., Kyrölä, E., and Sofieva, V.: Does prior information improve measurements?, in: Occultations for Probing Atmosphere and Climate - Science from the OPAC-1 Workshop, edited by: Kirchengast, G., Foelsche, U., and Steiner, A., 87–98, Springer Verlag, 2004.

Verronen, P T., Seppälä, A., Clilverd, M A., Rodger, C J., Kyrölä, E., Enell, C.-F., Ulich, T., and Turunen, E.: Diurnal variation of ozone depletion during the October–November 2003 solar proton events, J. Geophys. Res., 110, A09S32, \doi10.1029/2004JA010932, 2005.

Vervack, R J., Yee, J., DeMajistre, R., and Swartz, W H.: Intercomparison of MSX/UVISI-derived ozone and temperature profiles with ground-based, SAGE II, HALOE, and POAM III data, J. Geophys. Res., 108, 2–1, 2003.

Yee, J.-H., Jr., R. J V., Demajistre, R., Morgan, F., Carbary, J F., Romick, G J., Morrison, D., Lloyd, S A., DeCola, P L., Paxton, L J., Anderson, D E., Kumar, C K., and Meng, C.-I.: Atmospheric remote sensing using a combined extinctive and refractive stellar occultation technique, 1. overview and proof-of-concept observations, J. Geophys. Res., 107, 101029, doi:10.1029/2001JD000794, 2002.