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interpretation and adaptation issues. The new name of this project is now Advanced interpretation and verification of very high resolution models. You can find some more in the report by P. Eckert in this Newsletter. 10. Implementation of a Common Conditional Verification (CV) library - <strong>Project</strong> Leader: Adriano Raspanti (CNMCA (USAM)- AM) Aim of this project is the development of a common and unified verification library including a Conditional Verification Tool. The main purpose of conditional verification is the systematic evaluation of model performances in order to reveal typical shortcomings and the reasons behind them, in a way different from the usual classical verification tools. Once delivered and applied routinely, it should provide information straight to the scientists in the Working Groups 1-3, to give them hints of the causes for model deficiencies. The first release of this library will be distributed to the COSMO partners at the end of 2006. References: Baldauf.M. and J.-P.Schulz, 2004: Prognostic precipitation in the Lokal-Modell (LM) of DWD. COSMO Newsletter No. 4. Davies, H.C. and R.E.Turner, 1977: Updating prediction models by dynamical relaxation: An examination of the technique. Quart. J. Roy. Meteor. Soc., 103, 225-245. Doms G., 2001: A scheme for monotonic numerical diffusion in the LM. Cosmo Technical Report, No.3 (available at www.cosmo-model.org). Doms G., 2002: The LM Cloud Ice Scheme. COSMO Newsletter 2002.. Forstner,J. and G.Doms, 2004: Runge-Kutta time integration and high-order spatial discretization of advection: a new dynamical core for LM. COSMO Newsletter No. 4. Gassman A., 2002: 3D-Transport of Precipitation. COSMO Newsletter 2002. Lynch,P., D.Girard and V.Ivanovici, 1997: Improving the efficiency of a digital filtering scheme. Mon. Wea. Rev., 125, 1976--1982. Louis,J.F., 1979: A parametric model of vertical eddy fluxes in the atmosphere. Bound. Layer Meteor., 17, 187--202. Montani A., M. Capaldo, D. Cesari, C. Marsigli, U. Modigliani, F. Nerozzi,T. Paccagnella, P. Patruno and S.Tibaldi, 2003: “Operational limited-area ensemble forecasts based on the ‘Lokal Modell’ “. ECMWF Newsletter No. 98 – Summer 2003, pp.2-7. Ritter, B. and J.F.Geleyn, 1992: A comprehensive radiation scheme for numerical weather prediction models with potential applications in climate simulations. Mon. Wea. Rev., 120, 303--325. Rosatti G., Bonaventura L., Cesari D., Semi-implicit, Semi-Lagrangian environmental modelling on cartesian grids with cut cells, Journal of Computational Physics, 204,353- 377, 2005 Shaer C.,D.Leuenberger, O.Fuhrer, D.Luthi and C.Girard, 2002: A new terrain-follo\-wing vertical coordinate formulation for atmospheric prediction models. Mon. Wea. Rev., 130, 2459-2480. Skamarock, W.C. and J.B.Klemp, 1992: The stability of time-split numerical methods for the hydrostatic and the nonhydrostatic elastic equations. Mon. Wea. Rev., 120, 2109--2127. 40
Schrodin, R. and H. Heise, 2002: The New Multi-Layer Soil Model, COSMO Newsletter 2002. Steppeler,J., H.-W.Bitzer, M.Minotte and L.Bonaventura, 2002: Nonhydrostatic atmospheric modelling using a z-coordinate representation. Mon. Wea. Rev., 130, 2143--2149. Thomas, S., C. Girard, G. Doms and U. Schaettler, 2000: Semi-implicit scheme for the DWD Lokal-Modell. Meteorol. Atmos. Phys., 75, 105--125. Van Leeuwen, P.J., 2003: A variance minimizing filter for large scale applications. MWR, 131, 2071 – 2084. Wicker, L. and W. Skamarock, 1998: A time-splitting scheme for the elastic equations incorporating second-order Runge-Kutta time differencing. Mon. Wea. Rev., 126, 1992- 1999. 41
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 and 38: Data Assimilation for LM Method: Nu
Page 39 and 40: 2. LM performance known, critically
Page 41: expected to result in an improved r
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
Page 81 and 82: grid is 186x170 points in horizonta
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
Page 89 and 90: 3.7 France 87
Page 91 and 92: 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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