1. Evaluation of HARMONIE using a single column model in the KNMI
Parameterization
Testbed
Cisco de Bruijn and Wim de Rooy
Thanks to Roel Neggers

2. Content Introduction: KNMI Parameterization Testbed (KPT)
HARMONIE (mesoscale model 2.5 km)
Cases:
Improved massflux profile in cloud layer
Improved fog forecast
Windprofile stable boundary layer
Conclusions
Outlook
EMS Berlin sept 2011

3. KPT
EMS Berlin sept 2011

4. KPT Dynamical tendencies prescribed Fast physical processes
Relaxation to driving model
Framework for quick experiments
Driving Model
SCM
LS subsidence
1) Statistically identify a problem in a GCM
Long-term GCM statistics guide the evaluation effort
2) Assess if the problem is reproduced by the corresponding SCM
Exactly matching the GCM statistics (monthly/yearly means)
3) If so, identify which individual days contribute most to the error
Selected individual cases are guaranteed to matter
4) Study those days in great detail, using a variety of tools
Additional LES simulations
5) When the cause is identified and understood, formulate a solution
6) Re-simulate and re-evaluate the modified SCM
7) Rerun the GCM including the improved physics
LES
Horizontal advection
supersite
EMS Berlin sept 2011

5. KPT
Cabauw observations
EMS Berlin sept 2011

6. HARMONIE=ALADIN + HIRLAM
EMS Berlin sept 2011 6 6

7. HARMONIE AROME/HARMONIE physics Radiation. Convection/Turbulence.
Microphysics of warm clouds.
Microphysics for atmospheric ice.
Sub-grid condensation (Cloud scheme).
Surface processes (SURFEX package).
EMS Berlin sept 2011

8. HARMONIE Eddy Diffussivity Mass Flux (Siebesma et al. 2007) zinv
EMS Berlin sept 2011

9. HARMONIE Convection scheme, differences EDKF (Pergaud et al, 2009)
One updraft
Lateral entrainment/detrainment (Kain Fritsch, 1990)
EDMF
Two updrafts (Neggers et al, 2008)
Lateral entrainment/detrainment (De Rooy and Siebesma, 2008)
EMS Berlin sept 2011

10. Improved Mass flux profile in the cloud layer
EDKF
EDMF
In EDKF updraft stops too early due to lack of heat coagulation. Moisture was trapped in a too shallow layer.
EMS Berlin sept 2011

11. Improved Mass flux profile in the cloud layer
EDMF
LES
EDKF
EMS Berlin sept 2011

12. Improved Mass flux profile in the cloud layer
EDMF
LES
EDKF
Mass flux [m/s]
EMS Berlin sept 2011

13. Improved Fog forecast EDKF EDMF Observations, visibility
EMS Berlin sept 2011

14. Improved Fog forecast 3D HARMONIE, two successive runs
EDMF with modified cloud scheme
Analysis time:14 Feb 12 UTC
Analysis time:15 Feb 00 UTC
EMS Berlin sept 2011

15. Windprofile stable ABL
EDKF
EDMF
WRF TEMF
OBS
EMS Berlin sept 2011

16. Windprofile stable ABL
EDKF
EDMF
WRF TEMF
3D RACMO
3D HARMONIE
OBS
EMS Berlin sept 2011

17. Dynamical tendencies have to be accurate SCM and KPT are useful tools
Conclusions
Dynamical tendencies have to be accurate
SCM and KPT are useful tools
Model has been improved (bug fixes)
New parameterizations have been succesfully tested
EMS Berlin sept 2011

18. Need for accurate tendencies (mesoscale) for the SCM from HARMONIE
Outlook
Need for accurate tendencies (mesoscale) for the SCM from HARMONIE
1D/3D model should have the same software cycle
Emphasis on other parameterizations like radiation, aerosols and soil physics
EMS Berlin sept 2011