1. Update on model developments: Meteo-France NWP models Update on model developments: Meteo-France NWP models CLOUDNET Workshop / Paris 4-5 April 2005 Jean-Marcel Piriou Centre National de Recherches Météorologiques Groupe de Modélisation pour l’Assimilation et la Prévision

2. Summary: Update on model developments Update on model developments Work done: Validating models within CLOUDNET: BLH, surface fluxes Work done: Validating models within CLOUDNET: BLH, surface fluxes Ongoing work: comparing radar vs SYNOP cloudiness scores Ongoing work: comparing radar vs SYNOP cloudiness scores Now available: Model output on the new sites Now available: Model output on the new sites Perspectives: reading the CLOUDNET database in Toulouse Perspectives: reading the CLOUDNET database in Toulouse

3. Update on model developments

4. 2004-01 Sea ice masks from SSMI, relax towards NESDIS 0.5° SSTs, reduce snow evaporation rates, … 2004-01 Sea ice masks from SSMI, relax towards NESDIS 0.5° SSTs, reduce snow evaporation rates, … 2004-03 Use AQUA radiances in data assimilation, interactive mixing length, … 2004-03 Use AQUA radiances in data assimilation, interactive mixing length, … 2004-05 Cloudiness (more cirrus clouds, more cloudiness intermediate values), FMR radiation scheme (3h ARPEGE predictions, 1h assimilation) 2004-05 Cloudiness (more cirrus clouds, more cloudiness intermediate values), FMR radiation scheme (3h ARPEGE predictions, 1h assimilation) 2004-10 Use AMSU-B data, Seawind Quickscat, … 2004-10 Use AMSU-B data, Seawind Quickscat, …

5. Global ARPEGE, stretched & regular grids Limited area ALADIN Cloud Resolving Model AROME NWP GCM Climate GCM 25-70km operations Mesoscale modelling 10km operations Precipitating convective clouds explicitly taken into account 2.5km operations  2008 « Unifying » SGS physical schemes: Radiation Turbulence SGS convection

6. Validating models within CLOUDNET

7. Selection of dry or cloudy convective boundary layer Selection of days between April and August 2003 Cabauw 95 days Chilbolton 81days SIRTA 75 days Models : ARPEGE IFS Met-Office model : turbulent fluxes are not available RACMO : results are strange – more test are needed Comparisons between models and observations done on an hourly basis Validating models within CLOUDNET: Anne Mathieu

8. Frequency distributions of CLBH observed and diagnosed (LCL)  Slightly better agreement than with the CLBH predicted  Essentially same flaws than the predicted CLBH. Validating models within CLOUDNET: Anne Mathieu

9. Conclusions For selected days of cloudy convective boundary layer on the CLOUDNET stations Boundary layer cloud base height predicted within more than 300m 40% of the hours for IFS 55% of the hours for ARPEGE. Same behavior in the different stations. ARPEGE : Under-estimation of the CLBH due to warm and humid biases at the surface Essential condition to have a good prediction of dry and cloudy boundary layer diurnal cycle : right surface field prediction. Soil scheme Surface layer scheme Precipitations (convection) Validating models within CLOUDNET: Anne Mathieu

10. Comparing radar vs SYNOP cloudiness scores

11. The ARPEGE (Météo-France global model) cloudiness scores against CLOUDNET radars improved, as the scores against SYNOP became less good The ARPEGE (Météo-France global model) cloudiness scores against CLOUDNET radars improved, as the scores against SYNOP became less good The validation team has made a more extensive comparison CLOUDNET radars vs SYNOP total cloudiness The validation team has made a more extensive comparison CLOUDNET radars vs SYNOP total cloudiness How to compute a good model equivalent to the SYNOP total, low, medium and high cloudiness? How to compute a good model equivalent to the SYNOP total, low, medium and high cloudiness? Validating cloudiness: more confident in radar/lidar validations than to SYNOP observations Validating cloudiness: more confident in radar/lidar validations than to SYNOP observations

12. Model output on the new sites

13. Since 1st september 2002: sites Chibolton, Cabauw, Palaiseau Since 1st september 2002: sites Chibolton, Cabauw, Palaiseau Since 16 March 2005: sites Lindenberg and Potenza, plus the 5 ARM sites: Darwin, Manaus, Nauru, North Slope of Alaska, Southern Great Plains (10 sites daily, cron) Work done by François Vinit. Since 16 March 2005: sites Lindenberg and Potenza, plus the 5 ARM sites: Darwin, Manaus, Nauru, North Slope of Alaska, Southern Great Plains (10 sites daily, cron) Work done by François Vinit.

14. Perspectives Reading in 2005 the CLOUDNET 10 sites database in Toulouse (François Vinit). Reading in 2005 the CLOUDNET 10 sites database in Toulouse (François Vinit). AROME (2.5km) model data AROME (2.5km) model data

15. Summary: Update on model developments Update on model developments Work done: Validating models within CLOUDNET: BLH, surface fluxes Work done: Validating models within CLOUDNET: BLH, surface fluxes Ongoing work: comparing radar vs SYNOP cloudiness scores Ongoing work: comparing radar vs SYNOP cloudiness scores Now available: Model output on the new sites Now available: Model output on the new sites Perspectives: reading the CLOUDNET database in Toulouse Perspectives: reading the CLOUDNET database in Toulouse

18. PHYSICS Global ARPEGE Aquaplanet mode SCM ARPEGE (EUROCS, GATE, TOGA,BOMEX, ARM, …) LAM ALADIN / coupled / 10 km Global stretched ARPEGE / 4DVAR-ass. / 20 to 200 km Global regular ARPEGE / 4DVAR-ass. / 66 km

19. Present operational schemes / modified in 2003 Under progress / Done in 2003 RadiationGeleyn and Hollingsworth (1979), Ritter and Geleyn (1992) More accurate infra-red exchanges between surface and layers CloudinessNew scheme after Xu & Randall 1996 Grid-scale cloud schemeDiagnostic in ql/i, all supersaturation removed, liquid/ice condensation  T, melting/ freezing/ evaporation/ Kessler (1979), Clough and Franks (1991) Prognostic ql/i, qr/s Subgrid-scale cloud scheme (convection) mass-flux scheme, CISK-type closure and triggering, water vapour budget using a Kuo-type closure, downdrafts, momentum flux Modified trigger functions (TKE, CIN) and cloud entrainment rates Turbulence1st order closure scheme after Louis (1979), Louis and al. (1981), using a flux-gradient K-theory with Ri dependency, variable roughness lengths over sea (Charnock Reduced turb. in st. cond. PrognosticTKE scheme, mixing « Betts » conservative variables thetal and qt instead of theta and qv

20. Description of the large-scale cloud and precipitation scheme

21. Cloud scheme  Developed by P. Lopez (QJRMS, 2002)  Designed for variational assimilation of cloud and RR obs  Prognostic var : Qc (cloud condensates) & Qp (precip water)  Semi-lagrangian treatment of the fall of precipitation (Lopez,2002)