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either with a 1-dimensional observation operator which assumes local horizontal homogeneity for the radiative transfer calculations, or with a 2-dimensional observation operator which takes into account horizontal gradients along the limb-viewing plane. The first set of experiments assimilating CHAMP GPS radio occultation (GPSRO) measurements with 2-dimensional bending angle observation operators has been completed. The 2-dimensional operators improved the bending angle departure statistics in the lower troposphere by around ~5% compared with a 1-dimensional bending angle operator, although this did not translate into a clear, statistically significant improvement in the forecast scores. COSMIC data (which has been seen to be of high quality) have been received from August and should be used in operations soon. Green dots – COSMIC GPSRO locations over a 24 hour period. Red dots: radiosondes Observing System Experiments (OSEs) coordinated by EUCOS have been performed to examine the various components of the terrestrial Observing System, in the presence of the current satellite-based Observing System. Results from a summer period (46 days) are currently being assessed. The winter studies indicate a large impact of the radiosondes (wind and temperature) and aircraft (wind and temperature), a marginal impact of radiosonde humidity information, and a contrasted impact (with negative spells) from the wind profilers. REANALYSIS The ERA-interim reanalysis has started. It covers the period from 1989 and will be continued in near-real time when it reaches the present (“climate data assimilation mode”). • It uses Cycle 31r1 of the IFS 12-hour window 4D-Var and T255 resolution in the outer loops. Currently two versions exist: 60 and 91 levels. Only the best version will be continued in near-real time. • The set of observations and SST/ice information used is the same as in ERA-40 until 2002, then operational datasets will be used. • It also uses Meteosat AMV´s reprocessed by Eumetsat and ERS-1 and ERS-2 altimeter and scatterometer data reprocessed by ESA. • It uses 1dVar+4dvar assimilation of rain-affected SSMI radiances. • It uses variational bias correction of all clear sky satellite radiances and automated bias correction for surface pressure observations. 20
• Special attention currently paid to the behaviour of the VarBC scheme. • It uses radiosonde homogenization and improved bias correction tables. • Most problems identified in ERA-40 have been solved. Mean curves 850hPa Vector Wind Root mean square error forecast Tropics Lat -20.0 to 20.0 Lon -180.0 to 180.0 Date: 19890101 12UTC to 19901216 12UTC Mean calculation method: standard Population: 48,48,48,48,48,48,48,48,48,48,48,48,48,48,48,48,48,48,48,48 (averaged) 6 5.5 5 4.5 4 3.5 3 2.5 2 1.5 1 0.5 oper ERA-15 aer15 ERA-40 0256 ERA-Interim a0060 test 1 2 3 4 5 6 7 8 9 10 Forecast Day 21
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 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
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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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
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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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