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1.1 Foreword In 2006, MeteoSwiss had the pleasure to organise and host the 28th meeting of the European Working Group on Limited Area Modelling (EWGLAM) and the 13 th meeting of the EUMETNET Programme Short-Range Numerical Weather Prediction (SRNWP). They took place from the 9 th to the 12 th of October, 2006, in Zurich. I want to warmly thank all the colleagues of MeteoSwiss involved in the organisation and all the participants; they have so well contributed to the success of the meetings. The meetings were for the first time held in the new format, defined in the 2005 meetings in Ljubljana, with the target to better allow the decision making for enhanced collaboration. A more formalised and extended presentation of the recent developments of the consortia has been introduced in the EWGLAM part enabling a discussion between leaders of the four areas: data assimilation, numerics & coupling numerics/physics, physics, predictability & EPS. In the SRNWP part, the reports of the lead centres have been replaced by a discussion of the new EUMETNET programme to replace SRNWP after 2007. The new format has very well passed its first trial and all agreed to keep it for the next meetings planed in Dubrovnik in October 2007. In this Newsletter, you will find after the program and the list of participants, the reports of ECMWF and of the consortia, the national status reports and the scientific contributions grouped by area and at the end the minutes of the EWGLAM final discussion as well as the report of the SRNWP session. Zurich, February 2007 Philippe Steiner 6
1.2 List of Partipicants Marco Arpagaus MeteoSwiss Switzerland Jean-Marie Bettems MeteoSwiss Switzerland Gergely Bölöni Hungarian Meteorological Service Hungary Massimo Bonavita CNMCA Italy Mike Bush Met Office United Kingdom Gerard Cats KNMI Netherlands Jean-Pierre Chalon EUMETNET France Guy de Morsier MeteoSwiss Switzerland Terry Davies Met Office United Kingdom Maria Derkova Slovak Hydrometeorogical Institute Slovakia Pierre Eckert MeteoSwiss Switzerland Claude Fischer Météo-France France Richard Forbes Met Office United Kingdom Carl Fortelius Finnish Meteorological Institute Finland Jean-François Geleyn Czech Hydrometeorological Institute Czech Republic Stefan Gollvik SMHI Sweden Nils Gustafsson SMHI Sweden James Hamilton Met Éireann Ireland Andras Horanyi Hungarian Meteorological Service Hungary Mariano Hortal ECMWF England Tamara Ivanova LVGMA Latvia Stjepan Ivatek-Sahdan Meteorological & Hydrological Service Croatia Trond Iversen Norwegian Meteorological Institute Norway Dijana Klaric Meteorological & Hydrological Service Croatia Daniel Leuenberger MeteoSwiss Switzerland Bruce Macpherson Met Office United Kingdom Aarne Männik University of Tartu Estonia Chiara Marsigli ARPA-SIM Italy Jan Masek Slovak HydroMeteorological Institute Slovakia Jean-Antoine Maziejewski Météo-France France Lars Meuller SMHI Sweden Dmitrii Mironov Deutscher Wetterdienst Germany Maria José Monteiro Instituto de Meteorologia Portugal Mark Naylor Met Office United Kingdom Jeanette Onvlee KNMI Netherlands Bartolome Orfila Instituto Nacional de Meteorología Spain Tiziana Paccagnella ARPA-SIM Emilia-Romagna Italy Ioannis Papageorgiou Hellenic National Meteorological Service Greece Jean-Marcel Piriou Meteo-France France Patricia Pottier Météo-France France Neva Pristov Environmental Agency of the Republic of Slovenia Slovenia Jean Quiby EUMETNET Switzerland Bent Sass Danish Meteorological Institute Denmark Francis Schubiger MeteoSwiss Switzerland Jan-Peter Schulz Deutscher Wetterdienst Germany Harald Seidl Central Institute for Meteorology and Geodynamics Austria 7
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 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 and 38: Data Assimilation for LM Method: Nu
Page 39 and 40: 2. LM performance known, critically
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
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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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McDonald, A., and J. E. Haugen, 199
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Operational NWP Activities at the F
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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
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Contacts with the Academia In his d
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