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European Geosciences Union General Assembly 2011 Vienna, Austria 03-08 April 2011

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European Geosciences Union General Assembly 2011 Vienna, Austria 03-08 April 2011

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  1. Ground-based spectroscopic studies of atmospheric gaseous compositionYana Virolainen, Yuriy Timofeyev, Maria Makarova, Dmitry Ionov, Vladimir Kostsov, Alexander Polyakov, Anatoly Poberovsky, Marina Kshevetskaya, Anton Rakitin, Sergey Osipov, Hamud Imhasin Department of Physics of Atmosphere, Saint-Petersburg State University, St. Petersburg, Russia European Geosciences Union General Assembly 2011 Vienna, Austria 03-08 April 2011

  2. Air mass origin for St. Petersburg, Russia [5], 41% [1], 14% Five most important air mass flow sectors for St. Petersburg: 1. Arctic Ocean and North Russia; 2. continental Russia and Eurasia; [4], 18% 3. Europe; 4. Baltic Sea; 5. Arctic Ocean and Scandinavia. [3], 16% [2], 11%

  3. Devices for atmospheric gases measurements http://troll.phys.spbu.ru

  4. SIRS-2: CH4 total column amount (TCA) In 1991-2009 the CH4 TCA linear trend is non-significant. Trend index is positive for Jan-Feb and negative for Jul-Aug The tendency is the increase of the amplitude of CH4 TCA annual cycle zaits@troll.phys.spbu.ru – Maria Makarova

  5. Methane TCA seasonal variability mean Dec-Jan – max values, Jun-Aug – min values. Annual cycle amplitude ~ 3.6% The annual variations of TCA may differ significantly from the mean annual cycle CH4 TCA1019mol/cm2 Month zaits@troll.phys.spbu.ru – Maria Makarova

  6. SIRS-2: COtotal column amount CO TCA1019mol/cm2 Linear trends for CO TCA are non-significant. The mean annual cycle for 1995-2009 has max values in Feb-Mar and min values in Jul with ~20% amplitude zaits@troll.phys.spbu.ru – Maria Makarova

  7. Stratospheric NO2: SCIAMACHY and KSVU good agreement: “SCIAMACHY-KSVU” relative difference is +4±52% ionov@troll.phys.spbu.ru – Dmitry Ionov

  8. Tropospheric NO2: OMI, KSVU and HYSPLIT relatively reasonable agreement for the period of comparison in January-March 2006 ionov@troll.phys.spbu.ru – Dmitry Ionov

  9. Stratospheric O3: OMI and OceanOptics reasonable agreement: “OMI-OceanOptics” relative difference is +1.1±6.4% ionov@troll.phys.spbu.ru – Dmitry Ionov

  10. Ozone sounding by microwave radiometer Example of the ozone profile retrieval: November 28, 2010. 1 – retrieved ozone number density, 2 -measured spectrum, 3 - simulated spectrum, 4 – discrepancy. Comparison with MLS AURA satellite data vlad@troll.phys.spbu.ru – Vladimir Kostsov

  11. Errors of Bruker spectrometer TCA retrievals kit@troll.phys.spbu.ru – Anton Rakitin

  12. CH4 and CO TCA retrievals (Bruker) Average values of CH4 TCA for Mar-Jun 2009 obtained by two instruments are agree within 0.5%. zaits@troll.phys.spbu.ru – Maria Makarova

  13. N2O TCA retrievals (Bruker/NDACC stations) Annual means of N2O TCA for local measurements are in good coincidence with annual means for NDACC stations kshevetskaya.marina@gmail.com – Marina Kshevetskaya

  14. Seasonal cycle of HF TCA Max values – Feb-Mar, min values – summer-fall. Good agreement with measurements on NDACC stations. Good coincidence with satellite ACE-FTS measurements. polyakov@troll.phys.spbu.ru – Alexander Polyakov

  15. Bruker ozone TCA measurements TCA ozone measurements near St. Petersburg made by different instrumentation Dobson and M-124 – ground-based instruments located ~ 50 km NE of Peterhof OMI – satellite instrument, temporal-space coincidence ~ 100 km Yana.Virolainen@JV14952.spb.edu – Yana Virolainen

  16. Bruker ozone TCA measurements Correlation between ozone TCA obtained from different devices (mean – 0.3-1.7%, RMS – 3-4%) The example of ozone TCA diurnal variations measured by Bruker spectrometer (noise component of ~ 3 D.U.) Yana.Virolainen@JV14952.spb.edu – Yana Virolainen

  17. Combined method (IR+MW) for ozone: errors Main characteristics: S – measurement error matrix (1) A– averaging kernel matrix (2) S=(Sa-1+KTSε-1K)-1 (1) A =(Sa-1+KTSε-1K)-1 KTS ε-1K = SKTSε-1K (2) Sa – a priori variability matrix for sought vector of atmospheric state K – the matrix of variational derivates of the radiation with respect atmospheric parameters Sε – the matrix of non-correlated measurement errors Errors of retrieving the ozone mixing ratio profile for different measurement scenarios Yana.Virolainen@JV14952.spb.edu – Yana Virolainen

  18. Combined method (IR+MW): ozone profile Averaging kernels for ozone measurements by interferometer and microwave radiometer Potential error of ozone retrieval in thick atmospheric layers Yana.Virolainen@JV14952.spb.edu – Yana Virolainen

  19. Main results and conclusions • A large number of atmospheric trace gases (TG) are retrieved by different ground-based instrumentation • Temporal variations (from diurnal cycles to long-term trends) of TG are studied on the basis of experimental data • The TG measurements are used for numerical modeling and for validation of satellite data • Further development of techniques for TG profiles retrieving and expanding the list of TG are planned http://troll.phys.spbu.ru

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