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• Operational verification versus observational data3.3 Develeopments in the frame of COSMO consortium • Further participations on SIR (Sequential Importance Resampling filter) - priority project • Further participations on QPF (Tackle deficiencies in precipitation forecasts)- priority project • Participations on CV (Conditional Verification, Extended Common Verification Suite) - priority project • Participations on SPRT (Support Activities) - priority project MM5 (I.Ibanescu) 4.1 Operational suite • Characteristics: - non-hydrostatic mm5v3.4 versionhorizontal grid: Arakawa-Lamb B-staggering of the velocity variables with respect to the scalar ssemi-implicit scheme - coupling: relaxation technique (Davies, 1976) - physics - Grell cumulus parameterization - simple ice (Dudhia) microphysics - no radiation effects on atmosphere; surface radiation active - horizontal diffusion of perturbation from the base-state temperature - Burk Thompson PBL; Surface force/restore (Blackadar) scheme • initial and boundary conditions from global model GFS (Global Forecast System, 1.25º resolution) and the sea-surface temperature from NCEP) • model domain: 80 x 167 points (Δx=15 km, stereographic projection), 25 vertical σ levels, 4 runs per day, up to 24 hours • Output: pressure & near surface standard levels output in grib format routed towards the visualization systems in Bucharest and to the Regional Meteorological Centers) Fig. 5 MM5: MSL pressure and 2m temperature forecast 4.2 Reasearch and developments Data assimilation of SYNOP and TEMP data using FDDA scheme based on nudging: - Main objective: asses the the assimilation schme impact on the quality of the regional forecast. 132
- Experiments : variation of the free parameters of the scheme Fig. 6 Temperature, σ level=0,988, without FDDA scheme (left) and with FDDA (right) 5. Regional Climate Modelling (M.Caian) Since September 2005, ensemble regional simulations are operationally carried out for 10 days (daily) and 1 month (weekly) forecast, using REGCM3 (Giorgi, 1993), coupled with the ECMWF, with 10 members ensemble perturbations in initial and lateral boundary conditions. - For10 days: Dx=10km, 23 σ - levels. - For 1 month: Dx=50 km, 15 σ levels - Integration Platform: Altix 350 - 2 ITANIUM processors - Physical parameterizations: Kiehl (1996) scheme, BATS (Dickinson, 1993) surface exchange parameterization with a complex soil hydrology, Holtslag (1990) non-local boundary layer treatment, Grell convection scheme with Arakawa-Schubert closure, Pall (2001) large-scale precipitation, an interactive Hostetler 1D lake model and Zhong ocean scheme. Fig. 7 10 days ensamble simulation (left) versus observations for cumulated precipitations (right). 133
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NEWSLETTER of the 28 th EWGLAM and
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Newsletter of the 28th EWGLAM and 1
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6.2 P. Clark et al.: The Convective
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1.1 Foreword In 2006, MeteoSwiss ha
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Cornel Soci National Meteorological
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16:15 - 16:45 Filip Vana general Dy
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2 Consortia and ECMWF reports 12
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Research Progress at ECMWF 2005-200
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ocean data assimilation system for
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Physical Aspects 1) The introductio
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either with a 1-dimensional observa
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2.2 ALADIN 22
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Another important event happened, i
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• However inspection of T2m forec
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Figure 4: One case of intercomparis
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The COSMO Consortium in 2005-2006 T
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2. Model system overview The key fe
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Data Assimilation for LM Method: Nu
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2. LM performance known, critically
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expected to result in an improved r
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Schrodin, R. and H. Heise, 2002: Th
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HIRLAM-A activities in 2006 Jeanett
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addition, research on the construct
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HIRLAM Reference System development
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Fig. 2: Case study for 10 June 2006
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Unified Model Developments 2006 Met
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Figure 4: Noise in increments from
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Cycle Date Model change and impact
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1.5km On-demand model Figure 8: 1.5
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3.1 Belgium 59
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• A prognostic mass-flux scheme f
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Perspectives The integrated package
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3.2 Croatia 65
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New computer Core of the new comput
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3.3 Czech Republic 69
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LAM efforts at Estonian Meteorologi
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grid is 186x170 points in horizonta
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Page 85 and 86: Operational NWP Activities at the F
Page 87 and 88: Model Forecast model Limited area g
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Page 91 and 92: Fig.1. The ALADIN-France domain, wi
Page 93 and 94: Towards AROME, A first try of a Rap
Page 95 and 96: Status Report of the Deutscher Wett
Page 97 and 98: In August 2006 production with the
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Page 101 and 102: • LBC coupling at every 3 hours O
Page 103 and 104: IFS as driving model for ALADIN. Th
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Page 107 and 108: Filtering: Fourth order implicit ho
Page 109 and 110: The next chart shows wind arrows at
Page 111 and 112: Italian Meteorological Service Stat
Page 113 and 114: Fig.3 Integration domain for LM- EU
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Page 117 and 118: esults with fixed entrainment and d
Page 119 and 120: simulation. In order to allow a goo
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Page 125 and 126: Limited Area Modelling Activities a
Page 127 and 128: (a) Figure 2 ALADIN/Portugal geogra
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Page 131 and 132: LAM ACTIVITIES IN ROMANIA Cornel SO
Page 133: Fig.3 HRM domain, 78 cumulated prec
Page 137 and 138: NWP activities at Slovak Hydrometeo
Page 139 and 140: Operational suite upgrades • 23/0
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Page 143 and 144: First experiments with new physical
Page 145 and 146: • resolution of meteorological fi
Page 147 and 148: NWP activities in INM Bartolomé Or
Page 149 and 150: 1 System definition • Creation of
Page 151 and 152: MSLP June-August 2006 Geopotential
Page 153 and 154: NATIONAL STATUS REPORT on Operation
Page 155 and 156: Model input The observations used f
Page 157 and 158: Numerical Weather Prediction at Met
Page 159 and 160: The setup is based on a new numeric
Page 161 and 162: weight of importance in the voting
Page 163 and 164: 4.1 F. Vana: Dynamics & Coupling, A
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Page 181 and 182: 5 Scientific presentations on data
Page 183 and 184: COSMO: Overview and Strategy on Dat
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Meteorology in Hamburg (MPI-M). The
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temperature forecasts, this had a s
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5.2 D. Leuenberger et al.: The Late
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scaling factor α and of the latent
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a) b) RAD 1 2 3 4 5 6 7 8 9 10 det
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5.3 C. Fischer and A. Horanyi: Alad
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Figure 1: analysis increments of wi
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3) Averaged emissivities + dynamica
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In parallel, a direct radar observa
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►Algorithms: • FGAT (with Hunga
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Data assimilation activities in LAC
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Fig.3 RMSE difference (WDEF-NAM2).
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6 Scientific presentations on physi
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Physics improvements in the NAE mod
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The top panel in figure 3 shows tha
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The Murk aerosol is based on the ur
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Relaxation term Due to these proble
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Figure 12: SOx emissions in 1990 an
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Buncefield oil depot fire Figure 15
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6.2 P. Clark et al.: The Convective
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y the model (e.g. streaks of gradua
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the Met Office Large Eddy Model (LE
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Figure 4 Domains used in high resol
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1.0 95th percentile threshold Fract
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Figure 10 Surface precipitation rat
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HIRLAM Physics developments Sander
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strong winds. This causes a too lar
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epresenting the weather in the case
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ALARO-0 Physics developments at LAC
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eflectance for sample of 3-layer in
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2.1 Pseudo prognostic turbulent kin
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TKE and the integral buoyancy of th
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7 Scientific presentations on predi
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LAMEPS Development of ALADIN-LACE Y
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The more iterations performed, the
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uncertainty in the model physics, t
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In Budapest, dynamical downscaling
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7.2 J. García-Moya et al.: Recent
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Currently the size of the super ens
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Palmer, T.N., Alessandri, A., Ander
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Figure 4 Example of probability map
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More than 15 mm/6 hours Figure 6 Re
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7.3 C. Marsigli et al.: The COSMO S
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Overview COSMO ensemble systems Pie
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COSMO-LEPS 16-MEMBER EPS An objecti
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The used models are LAMI (Italy), a
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28th EWGLAM Meeting 9-11 October 20
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9 SRNWP business meeting report 293
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Minutes of the Meeting Participatio
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Training and Education Activities i
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These reports were very divers, fro
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Contacts with the Academia In his d
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