Tbilisi, 6.08.2012 Ketevan Kasradze Supervisor: PD Dr. Hendrik Elbern Rhenish Institute for Environmental Research.

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Tbilisi, Ketevan Kasradze Supervisor: PD Dr. Hendrik Elbern Rhenish Institute for Environmental Research at the University of Cologne Germany 4D-var assimilation of CRISTA-NF H20 and MLS retrievals with the high resolution SACADA system

Tbilisi, Ketevan Kasradze Why? 4Dvar data assimilation SACADA assimilation-system Horizontal grid Vertical grid Chemistry Assimilation Results 2/18

Tbilisi, Ketevan Kasradze Atmospheric layers 3/18

Tbilisi, Ketevan Kasradze Why? 4/18

Tbilisi, Ketevan Kasradze 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

Tbilisi, Ketevan Kasradze Data assimilation 1st day 2nd day t Xa Xb Background Analysis Xb 6/18

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

Tbilisi, Ketevan Kasradze SACADA assimilation-system Background Meteorological ECMWF analyses Trace gas observations Analysis SACADA PREP DWD GME CTM CTMad Diffusion L-BFGS 8/18

Tbilisi, Ketevan Kasradze Horizontal GME Grid ~147km between the grid points, grid points pro Model layer 9/18

Tbilisi, Ketevan Kasradze Additional refinement troposphere/lower stratosphere SACADA Vertical Grid 54 layer CRISTA-NF MLS 10/18

Tbilisi, Ketevan Kasradze Chemistry H 2 O 2 H 2 O NO 3 N 2 O N 2 O 5 HNO 3 HNO 4 Cl 2 O 2 OClO Cl 2 HCl HOCl ClONO 2 BrCl HBr HOBr BrONO 2 O( 1 D) O( 3 P) O 3 H OH HO 2 NO NO 2 Cl ClO Br BrO H 2 CH 4 CH 3 Cl CCl 4 CFCl 3 CF 2 Cl 2 CHF 2 Cl CF 2 ClCFCl 2 CH 3 CCl 3 CH 3 Br CF 2 ClBr CF 3 Br CH 2 O CH 3 O CH 3 O 2 CH 3 OOH CH 3 HCO CO O 2 N 2  51 species  200 chemical reaction equations  Reaction rates: JPL 2006 recommendations KPP (Kinetic Preprocessor) ROS2 Chemistry Module Adjoint Chemistry Module 11/18

Tbilisi, Ketevan Kasradze SCOUT-O3 campaign Stratospheric-Climate Links with Emphasis on the UTLS - O3 November-December 2005 AMMA- campaign African Monsoon Multidisciplinary Analyses /18

Tbilisi, Ketevan Kasradze 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 Pressure level 30 (~ 137hPa) – H2O profiles from SACADA for /18

Tbilisi, Ketevan Kasradze Analysis Observation Background Ozone O ~137hPa ~14km 12 h UTC 14/18

Tbilisi, Ketevan Kasradze CRISTA-NF - Background MLS Asm: H 2 O 20km 10km 20km 10km 15/18

Tbilisi, Ketevan Kasradze Computational costs 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

Tbilisi, Ketevan Kasradze 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.

Tbilisi, Ketevan Kasradze Thank you! Danke schön! დიდი მადლობა !