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Ketevan Kasradze kk@riu.uni-koeln.de Supervisor: PD Dr. Hendrik Elbern

4D-var assimilation of CRISTA-NF H20 and MLS retrievals with the high resolution SACADA system. Ketevan Kasradze kk@riu.uni-koeln.de Supervisor: PD Dr. Hendrik Elbern Rhenish Institute for Environmental Research at the University of Cologne Germany. Atmospheric layers. 3 /18. Why?.

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Ketevan Kasradze kk@riu.uni-koeln.de Supervisor: PD Dr. Hendrik Elbern

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  1. 4D-var assimilation of CRISTA-NF H20 and MLS retrievals with the high resolution SACADA system KetevanKasradze kk@riu.uni-koeln.de Supervisor: PD Dr. HendrikElbern Rhenish Institute for Environmental Research at the University of Cologne Germany

  2. Atmospheric layers 3/18

  3. Why? 4/18

  4. Data assimilation „using all the available information, to determine as accurately as possible the state of the atmospheric (or oceanic) flow” Talagrand (1997) available information: • observations • background 5/18

  5. Data assimilation Background Analysis Xb Xa Xb 1st day 2nd day t 6/18

  6. Quasi-Newton method L-BFGS SACADA assimilation-system Model operator Background Projection operator Cost function Observation error covariance matrix Gradient Adjungiertes Modell Vector of observations Background error covariance matrix 54x23 042 ~ 1x10^6 BECM ~ 4x10^11 for 51 species ~ 80 Terrabyte 7/18

  7. SACADA assimilation-system Background Meteorological ECMWF analyses Trace gas observations PREP SACADA DWD GME CTM CTMad Diffusion L-BFGS Analysis 8/18

  8. Horizontal GME Grid • ~147km between the grid points, • 23 042 grid points pro Model layer 9/18

  9. Additional refinement troposphere/lower stratosphere SACADA Vertical Grid 54 layer MLS CRISTA-NF 10/18

  10. Chemistry • 51 species • 200 chemical reaction equations • Reaction rates: JPL 2006 recommendations • KPP (Kinetic Preprocessor) • ROS2 • Chemistry Module • Adjoint Chemistry Module 11/18

  11. SCOUT-O3campaignStratospheric-Climate Links with Emphasis on the UTLS - O3November-December 2005 AMMA-campaignAfricanMonsoonMultidisciplinaryAnalyses 29.07.2006 -17.08.2006 12/18

  12. Assimilation Results • Background • Derived from SOCRATES (=2D) model results (1-st day) • At the following day: Analyses of the day before • Observations • MLS retrievals • CRISTA-NF retrievals • Analyses • Ozone analyses from SACADA for 7.11.2005 • Pressure level 30 (~ 137hPa) • H2O profiles from SACADA for 29.07.2006 13/18

  13. Ozone O3 7.11.2005 ~137hPa ~14km 12 hUTC Analysis Observation Background 14/18

  14. 20km 20km 10km 10km CRISTA-NF - Background MLS Asm: H2O 29.07.2006 15/18

  15. Computationalcosts Fine grid (ni=48, lev=54) with new chemistry mechanism, timestep: 800sec. 1 day assimilation: • ~50 GB temporary storage • ~10 clock hour (16 AMD OPTERON processor) 16/18

  16. Acknowledgements to: Garmany. University of Cologne. Rhenish Institute for Environmental Research at the University of Cologne. Prof A. Ebel, Prof A. Wahner, Dr. J. Schwinger, all my co-workers and especially my supervisor Dr. H. Elbern. Tbilisi State University. Applied mathematics and computer sciences department stuff. Prof. R. Botchorishvili, Dr. M. Menteshashvili.

  17. Thank you! Danke schön! დიდი მადლობა!

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