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DWD Germany: LM-E 7 km BCs from GME MeteoSwiss LM-aLMo 7 km BCs from IFS Italy (UGM/ARPA-SIM/ARPA Piemonte) LM-LAMI 7 km BCs from GME LM-EUROLM 7 km BCs from IFS HNMS LM-HNMS 7 km BCs from GME Figure 1. Operational settings of LM in the different COSMO Countries. Figura 2 COSMO-LEPS integration domain The COSMO-LEPS system is running every day regularly at ECMWF as a Time-Critical Application. In figure 2 the integration domain is represented. Since January 2006, COSMO-LEPS is composed by 16 members (previously it was 10) with the same 10 km horizontal resolution. The vertical discretization is on 40 levels again since January 2006. The forecast length is 132 hours starting from the 12 UTC analysis time. For more details on COSMO LEPS status see the presentation by Pierre Eckert on this issue. 5. COSMO Long-Term Perspectives and Priority Projects The Long Term Perspectives defined last year were: 1. Develop and improve ensemble prediction systems based on LM (including cloud resolving scale) 2. Assimilation of ‘all’ available observations, including radars and satellites, at high resolution including also slowly-changing information (soil moisture, vegetation state, etc) 36
2. LM performance known, critically discussed and improved It was also stressed the importance and the need for more collaboration with the other Consortia Another issue discussed this year was the name of the Model of the COSMO Consortium It is well known that COSMO is cooperating on the Lokal Modell (LM) but the applications of LM in the different Countries have been named without any precise rule and adapting the name to the particular configuration (LME for LM Europe, aLMo for alpine LM, LAMI etc.. etc..for). To increase the visibility of the model, to avoid confusion and to follow the tradition of other European Consortia, it has been decided that from here on the unique name of the COSMO model will be “COSMO”. Following the above guidelines, 10 Priority Projects were defined and started: 1. Support Activities -Project Leader: Ulrich Schaettler (DWD) This is not really a project, but an ongoing activity, which takes care about the Source Code Administration, the Documentation and related things (editing of newsletters, tech. Reports, WEB site). It includes many of the activities of WG6 Implementation and Reference Version). Due to the importance of these basic and “vital” activities, it has been decided to keep this as a permanent Priority Project. 2. SIR: Sequential Importance Resampling filter - Project Leader: Christoph Scraff (DWD): The aim of the project is the development of a prototype for a new data assimilation system for the convective scale by means of a sequential Bayesian weighting and importance re-sampling (SIR) filter (van Leeuwen, 2003). The SIR filter is a Monte-Carlo approach. It uses an ensemble of very-short range forecasts and selects the most likely members by comparing them to observations. From the selected members, a new ensemble is created for the next analysis time. In its pure form, no direct modification of model fields by observations is required by this method. The start of this project was delayed due to lack of human resources. At the moment only preliminary investigation have been carried on. The real start-up of the project is planned during the last months of 2006. 3. Assimilation of Satellite Radiances into LM with 1D-Var and Nudging - Project Leader: Reinhold Hess (DWD): Data of polar orbiting as well as geostationary satellites (ATOVS, AIRS/IASI, and SEVIRI) will be assimilated into LM in two steps: First, profiles of temperature and humidity will be retrieved from the satellite radiances using a 1D-Var analysis scheme. Second, these profiles will be assimilated like conventional data with the nudging scheme of the LM. This project is well on schedule. The 1-DVAR scheme has been developed and the LM code has been modified in accordance to the new requirements. Some sensitivity tests have been performed on case studies and now the system is under tuning and regular testing. 37
Page 1: NEWSLETTER of the 28 th EWGLAM and
Page 4 and 5: Newsletter of the 28th EWGLAM and 1
Page 6 and 7: 6.2 P. Clark et al.: The Convective
Page 8 and 9: 1.1 Foreword In 2006, MeteoSwiss ha
Page 10 and 11: Cornel Soci National Meteorological
Page 12 and 13: 16:15 - 16:45 Filip Vana general Dy
Page 14 and 15: 2 Consortia and ECMWF reports 12
Page 16 and 17: Research Progress at ECMWF 2005-200
Page 18 and 19: ocean data assimilation system for
Page 20 and 21: Physical Aspects 1) The introductio
Page 22 and 23: either with a 1-dimensional observa
Page 24 and 25: 2.2 ALADIN 22
Page 26 and 27: Another important event happened, i
Page 28 and 29: • However inspection of T2m forec
Page 31 and 32: Figure 4: One case of intercomparis
Page 33 and 34: The COSMO Consortium in 2005-2006 T
Page 35 and 36: 2. Model system overview The key fe
Page 37: Data Assimilation for LM Method: Nu
Page 41 and 42: expected to result in an improved r
Page 43 and 44: Schrodin, R. and H. Heise, 2002: Th
Page 45 and 46: HIRLAM-A activities in 2006 Jeanett
Page 47 and 48: addition, research on the construct
Page 49 and 50: HIRLAM Reference System development
Page 51 and 52: Fig. 2: Case study for 10 June 2006
Page 53 and 54: Unified Model Developments 2006 Met
Page 55 and 56: Figure 4: Noise in increments from
Page 57 and 58: Cycle Date Model change and impact
Page 59 and 60: 1.5km On-demand model Figure 8: 1.5
Page 61 and 62: 3.1 Belgium 59
Page 63 and 64: • A prognostic mass-flux scheme f
Page 65 and 66: Perspectives The integrated package
Page 67 and 68: 3.2 Croatia 65
Page 69 and 70: New computer Core of the new comput
Page 71 and 72: 3.3 Czech Republic 69
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Page 79 and 80: LAM efforts at Estonian Meteorologi
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Page 83 and 84: McDonald, A., and J. E. Haugen, 199
Page 85 and 86: Operational NWP Activities at the F
Page 87 and 88: Model Forecast model Limited area g
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3.7 France 87
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Fig.1. The ALADIN-France domain, wi
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Towards AROME, A first try of a Rap
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Status Report of the Deutscher Wett
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In August 2006 production with the
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3.9 Hungary 97
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• LBC coupling at every 3 hours O
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IFS as driving model for ALADIN. Th
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3.10 Ireland 103
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Filtering: Fourth order implicit ho
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The next chart shows wind arrows at
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Italian Meteorological Service Stat
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Fig.3 Integration domain for LM- EU
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3.12 Netherlands 113
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esults with fixed entrainment and d
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simulation. In order to allow a goo
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layer for three contrasting nights
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21 UTC). The severe thunderstorm fo
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Limited Area Modelling Activities a
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(a) Figure 2 ALADIN/Portugal geogra
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een locally implemented as an optim
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LAM ACTIVITIES IN ROMANIA Cornel SO
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Fig.3 HRM domain, 78 cumulated prec
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- Experiments : variation of the fr
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NWP activities at Slovak Hydrometeo
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Operational suite upgrades • 23/0
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3.16 Slovenia 139
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First experiments with new physical
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• resolution of meteorological fi
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NWP activities in INM Bartolomé Or
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1 System definition • Creation of
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MSLP June-August 2006 Geopotential
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NATIONAL STATUS REPORT on Operation
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Model input The observations used f
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Numerical Weather Prediction at Met
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The setup is based on a new numeric
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weight of importance in the voting
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4.1 F. Vana: Dynamics & Coupling, A
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5 Scientific presentations on data
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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
Page 301 and 302:
These reports were very divers, fro
Page 303:
Contacts with the Academia In his d
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