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LACE Data Assimilation Working Days 14-16 June 2011, Budapest HARMONIE DA suite at KNMI Jan Barkmeijer With contributions from: Cisco de Bruijn, Siebren.

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Presentation on theme: "LACE Data Assimilation Working Days 14-16 June 2011, Budapest HARMONIE DA suite at KNMI Jan Barkmeijer With contributions from: Cisco de Bruijn, Siebren."— Presentation transcript:

1 LACE Data Assimilation Working Days 14-16 June 2011, Budapest HARMONIE DA suite at KNMI Jan Barkmeijer With contributions from: Cisco de Bruijn, Siebren de Haan, Gert-Jan Marseille, Emiel van der Plas, and Wim de Rooy.

2 Content - Description KNMI DA suite - Monitoring tools - Problems encountered - Future developments

3 3 The KNMI Data assimilation suite Initial run at 15 November 2010, but many changes (experimental status) since then. Runs at ECMWF, using hourly boundaries and observation set from a H7.2 Hirlam suite at KNMI (ectrans is used to tranfer data vice-versa) Cycling time is 6h and a 24h forecast is produced at 00 and 12 UTC. Integration area (300x300 gp at 2.5km grid resolution) covers the Netherlands and vertical resolution is 60 levels (Meteo-France definition). Lowest model level around 9m Harmonie model cycle H36h1.2 with some modifications Data is processed e.g. at DMI/KNMI for monitoring purposes.

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5 Area definition 200x200 300x300 400x400 500x500

6 LBC data from Hirlam forecast for both runs 300x300 400x400 RADAR

7 Computation of background error statistics -Used the recipe as described on the Hirlam wiki page for Harmonie Data- assimilation -Central here is the creation of a series of downscaled Harmonie 6h forecasts for 20060920-20061031 at 00 UTC, using 4 members of the ECMWF EPS

8 Confusion w.r.t. virtual and real temperature (LSPRT) DMI Harmonie suite KNMI old Courtesy Nils Gustafsson

9 After correction DMI KNMI new

10 Content - Description KNMI DA suite - Monitoring tools - Problems encountered - Future developments

11 What datasets are being used? SYNOPU,VZT AIREPU,VT RADIOSONDEU,VZTQ Mode-SU,VT

12 What data sets are being used (2)? Mode-S drops out

13 o-a/o-b statistics for April negative bias

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15 The Danmark Monotoring Facility

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17 Monitoring with KNMI Parametrization Testbed (KPT) 1D column at Cabauw from 3D run

18 Occurrence of fog

19 Occurrence of fog (2)

20 Content - Description KNMI DA suite - Monitoring tools - Problems encountered - Future developments

21 Modis VIS satellite image 13 th of May 2008 1315 UTC Cloud cover EDMFM and cloud scheme changes Increase variance computation in the cloud scheme to alleviate the on-off character in the generation of cloud

22 Instabilities in the canopy model over sea (ECUME)

23 Using Meteo-France 60 level definition

24 Switching off ECUME over sea

25 Occurrence of negative q in the analysis Also other hydrometeors are affected (e.g. cloud-ice and cloud-water) First-guess Analysis

26 Solution: set GFL >=0 at analysis time

27 Impact on 24-h accumulated precipitation original analysis modified

28 Vertical nesting strategy 1.3hPa 10hPa 0.01hPa

29 Vertical nesting strategy 1.3hPa 10hPa 0.01hPa Since 1 June 2011 a parallel 3dvar suite runs at ECMWF (cy36h1.3) and with ECMWF boundaries

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31 T+12h forecast for T2m valid 5 June 2011 at 12 UTC HIRLAM LBC ECMWF LBC

32 RADAR 3DVAR + HIRLAM LBC 400x400 500x500

33 RADAR 3DVAR + ECMWF LBC 400x400 500x500

34 FUTURE PLANS -Get radar data-assimilation running -Implementation of a 800x800xL60 Harmonie suite at KNMI, 3dvar with cycling time of 3 hour (or less) -Add more q observations: GPS, Cloud data (e.g. cover) -Develop more tools for monitoring (MetEvaluation) -Coupling with other applications: surge model, LOTOS (air pollution model) -Increase research effort on DA+EPS: + timing/location of convection + 4dvar without nonlinear updates


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