HYDROMETCENTRE of RUSSIA Gdaly Rivin STC COSMO September 2008, Krakow, Poland Hydrometeorological centre of Russian Federation

1. Strategy of weather service Hydrometeorological centre of Russian Federation Data assimilation 3D-var Global models: Spectral models T169L31, T339L63. SL-AB (2010: L60, h=25 km) Regional model: L30, h=75 km Mesomodels: COSMO-RU (1169 km x 2093km, h=7 km & h=2.8 km) NHMM HMC ( 300km x 300km, h=10 km) ARW Ensembles Breeding method with T85L31 Visualization Isograf

Global and regional models HMC of Russia Global: T85L31  T168L31, SL-AB (h=70 km) Regional – Europe, Sibirea, Far East (L30, h = 75 km) Z –meso for Moscow and S.Peterburg (L15, h=10 km) 1. Strategy of weather service

2. Achievements over the last COSMO year 2007 / 2008 FTE= DVAR : (FTE = 0.5 – M.Tsyrulnikov; 0.5 – V. Gorin) Satellite observation-error statistics. An estimation technique based on satellite vs. radiosonde comparisons it developed and tested. Preliminary results for AMSU-A channels 6-10 show significant horizontal and inter-channel correlations. INTERP: (FTE=0.5 – E.Machulskaya) A new more physically-based snow parameterization scheme combined with the COSMO’s land surface scheme TERRA is tested in off-line regime against observational data. The results obtained with this scheme are in closer agreement with observational data when compared with the current TERRA’s snow model. The new snow model is incorporated into the “TERRA-standalone” framework developed at Meteoswiss. The first experiments are performed. RK: (FTE= 0.3 – G.Rivin, 0.2 – D.Alferov) Preparing of the 2-dimensional test for the advection of moisture quantities with different schemes Tests prior to the operational implementation of the Physics-Dynamics Coupling UTCS: (FTE = 0.55 – E.Machulskaya) A two-equation second-order turbulence-convection closure model for the temperature stratified atmosphere is coded and tested in a single-column framework. The two-equation model reproduces a counter-gradient heat transport in the upper part of the CBL and improves the representation of entrainment at the CBL top. The two-equation model results are in good agreement with LES data. 1DVAR : Assimilation of Satellite Radiances with 1DVAR and Nudging INTERP: Advanced interpretation and verification of very high resolution models RK: Runge-Kutta UTCS : Unified Turbulence-shallow Convection Scheme Hydrometeorological centre of Russian Federation

3. Status of the COSMO-RU NWP-System Init ; Forecast Psea, T2 +60 h Hydrometeorological centre of Russian Federation For COSMO-Ru operational running the HMC of Russia uses: the 1 node (2 processors Xeon 5345, 2.33GHz, with 4 cores each and 32 Gb operative memory on node, 64-bit, OS - RHEL5 (Red Hat Enterprise Linux 5), Intel C , Intel Fortran , Intel MPI 3.0) is used. 2 times per day (00 and 12 UTC) the HMC of Russia receives by Ftp GME data from DWD and produces the forecasts for 78 h for the European part of Russia with h=14 km, dt=80 s (ie=168, je=300). Time of the run with 8 cores (1x8-topology) is 3h 35 min. The special data bases are modified and special system of the visualization are prepared in the HMC of Russia. The synoptic- forecasters begin to use the model output as additional forecasting information and to test it. The first information about the forecast skill of some atmospheric variables (T2m, pressure, precipitation, and cloudiness) is obtained; The specialists of HMC of Russia had the possibility to do several runs on Altix Itnium with 256 cores, the effective variant for this grid is for cartesian topology is 8x32=256, variants with 16x16=256 or 4x64=64 are worse. In this case (8x32) the run time for 78h forecast was 311s.

For COSMO-Ru operational running the HMC of Russia uses: the 1 node (2 processors Xeon 5345, 2.33GHz, with 4 cores each and 32 Gb operative memory on node, 64-bit, OS - RHEL5 (Red Hat Enterprise Linux 5), Intel C , Intel Fortran , Intel MPI 3.0) is used. 2 times per day (00 and 12 UTC) the HMC of Russia receives by Ftp GME data from DWD and produces the forecasts for 78 h for the European part of Russia with h=14 km, dt=80s (ie=168, je=300). Time of the run with 8 cores (1x8-topology) is 3h 35 min. The special data bases are modified and special system of the visualization are prepared in the HMC of Russia. The synoptic-forecasters begin to use the model output as additional forecasting information and to test it. The first information about the forecast skill of some atmospheric variables (t2m, pressure, precipitation, and cloudiness) is obtained; The specialists of HMC of Russia had the possibility to do several runs on Altix Itnium with 256 cores, the effective variant for this grid is for cartesian topology is 8x32=256, variants with 16x16=256 or 4x64=64 are worse. In this case (8x32) the run time for 78h forecast was 311s (5min 11s). 3. Status of the COSMO-RU NWP-System Hydrometeorological centre of Russian Federation

4. Future Development of the COSMO-RU NWP-System Moscow Novosibirsk Chabarovsk SGI Altix Intel ® Itanium® 9140 Dual 11 Tflops, SGI ICE Intel ® Xeon® 5400 Quad 16 Тflops G-Scale S Intel ® Itanium® 9140 Dual 0.7 Тflops Hydrometeorological centre of Russian Federation 2008 SGI Altix SGI ICE G-Scale

5. Contributions to COSMO 2008 / 2009 FTE= 2.8 CDC: (FTE = 0.3 – G.Rivin; 0.3 – D.Alferov)? Experience with the development of finite volume methods. COLOBOC: (FTE = 0.3 – E.Machulskaya) Implementation of the GRIB-output of the new state variables from the new snow scheme. Sat-Cloud : (FTE = 0.5 – M.Tsyrulnikov; 0.5 – V. Gorin) Implementation correlated observation errors. Tuning of observation errors. (Estimates of AMSU-A observation-error variances, horizontal correlations, inter-channel cross- correlations, and observation-forecast cross-correlations -- applicable in a data assimilation scheme. Significance testing. 1D-Var sensitivity experiments and impact testing of the new statistics, including validation against radiosondes.) UTCS: (FTE= 0.4 – E.Machulskaya; 0.5 – V.Perov ) Consolidation of the existing code; implementation of the skewness-dependent parameterization of the vertical transport of the potential-temperature variance; implementation of the two-equation turbulence-shallow convection model for moist temperature stratified atmosphere; testing against LES data. CDC: Conservative Dynamical Core COLOBOC : COnsolidation of LOwer BOundary Conditions Sat-Cloud : Assimilation of satellite data with clouds and over land RK: Runge-Kutta UTCS : Unified Turbulence-shallow Convection Scheme Hydrometeorological centre of Russian Federation