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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 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 200x x x x500

6 LBC data from Hirlam forecast for both runs 300x x400 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 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 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 400x x500

33 RADAR 3DVAR + ECMWF LBC 400x x500

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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