1 / 12

Lucio Torrisi CNMCA, National Meteorological Center,Italy

Objective verification results for RK parallel runs. Lucio Torrisi CNMCA, National Meteorological Center,Italy. COSMO General Meeting, Moscow 6-9 September 2010. CNMCA NWP System. 3DVAR PSAS FGAT (T,u,v,qv,ps) every 3h using T EMP, PILOT, SYNOP, SHIP, BUOY, Wind Profiler,

jodie
Télécharger la présentation

Lucio Torrisi CNMCA, National Meteorological Center,Italy

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Objective verification results for RK parallel runs Lucio Torrisi CNMCA, National Meteorological Center,Italy COSMO General Meeting, Moscow 6-9 September 2010

  2. CNMCA NWP System 3DVAR PSAS FGAT (T,u,v,qv,ps) every 3h using TEMP, PILOT, SYNOP, SHIP, BUOY, Wind Profiler, AMSUA rad., AMDAR-ACAR-AIREP, MSG/MODIS AMV, METOP/QUIKSCAT/ERS2 scatt. winds + Land SAF snow mask, IFS SST analysis once a day Data Assimilation: COSMO-ME (7km) ITALIAN MET SERVICE 2.8 km 50 v.l. • compressible equations • explicit convection 14 km 40 v.l. • hydrostatic equations • parameterized convection • compressible equations • parameterized convection 7 km 40 v.l. Local Area Modelling: COSMO

  3. 7km RK/LF comparison In March, itype_bbc_w in COSMO-ME RK (with explicit vertical advection) parallel run was switched from 1 to 0 . Option for selecting the lower boundary condition for vertical wind speed (new NL switch itype_lbc_w): 0/1: RK-like method following iadv_order 2/3: Differencing following iadv_order without RK stepping 4/5: Fourth-order centered differences 0/2/4: include extrapolation of horizontal wind to surface 1/3/5: no extrapolation of horizontal wind to surfacee

  4. 7km RK/LF comparison • RK has a colder bias in stratosphere (Rayleigh damping setting?) • RK slightly warmer than LF in the lower levels • RK slightly less negative bias in wind speed than LF • RK tends to overestimate light precipitation events and underestimate the most intense ones

  5. Heat and moisture source term in p equation Turbulent heat and Radiaton flux Diabatic heating due to cloud microphysical sources Cloud heat sources Turbulent flux for water constituents and Precipitation (gravitational diffusion) fluxes Turbulent flux for water constituents

  6. Heat and moisture sourceterm in p equation The reformulated equations are: If these new terms are added in the p/T equations, the saturation adjustment scheme has to be consistently adapted to the changes in p/T equations. ( in coop. with Ronny Petrik)

  7. Heat and moisture sourceterm in p equation • A preliminary version with QT>>QM was already implemented a few years ago (Torrisi, 2008) • The full version is almost complete • Work in the saturation adjustment is ongoing In cooperation with Ronny Petrik

  8. Thanks for the attention! Any questions?

More Related