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LM Physics Overview and Outlook. Marco Arpagaus. 28 th EWGLAM and 13 th SRNWP Meeting Zurich, 9-12 October 2006. Radiation. Scheme: δ-two stream radiation scheme after Ritter and Geleyn (1992) for short- and long-wave fluxes; full cloud-radiation feedback. Recent Extensions: - PowerPoint PPT Presentation
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Federal Department of Home Affairs FDHAFederal Office of Meteorology and Climatology MeteoSwiss
LM PhysicsOverview and Outlook
28th EWGLAM and 13th SRNWP MeetingZurich, 9-12 October 2006
Marco Arpagaus
3 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Radiation
Scheme:
• δ-two stream radiation scheme after Ritter and Geleyn (1992) for short- and long-wave fluxes; full cloud-radiation feedback.
Recent Extensions:
• Quasi-3d: Inclusion of 3d orographic effects on radiation (shadowing, slope angle, slope aspect, sky view).
• Upscaling: Use of coarser horizontal mesh to run the 1d radiation scheme in favour of running the scheme more often (aim: use 2*2 grid-points and reduce update frequency from hourly to every 15 min).
4 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Radiation:Quasi-3d and upscalingAverage solar surface radiation budget since forecast start (4 April 2005 00 UTC + 8 hrs)
difference plot: version with topographic corrections minusversion without topographic corrections
original LM grid (2.8 km mesh-size)
coarser (2x2) grid
W/m2
5 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Grid-scale clouds and precipitation
Operational schemes:
• Cloud-ice scheme: 5-class (vapour, cloud-water, cloud-ice, rain, and snow) single-moment scheme.
• Graupel scheme: 6-class(vapour, cloud-water,
cloud-ice, rain, snow, and graupel) single-moment schemefor convection-resolving scales.
Additional schemes:• Seifert-Beheng (2006): 6 class two-moment scheme• Reisner-Thompson (2004): 6 class single-moment scheme
6 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
g 0.9 g/cm3
N0 = 4*104 m-4
radarg 0.2 g/cm3
N0 = 4*106 m-4
Grid-scale clouds and precipitation: Graupel schemeProblem: underestimation of precipitation amounts for convection-resolving LM.
Cure: Use hail instead of graupel (as suggested by studies of idealised strong convection)?
No!
LM (2.8 km mesh-size), 7 August 2004
7 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Grid-scale clouds and precipitation:Prognostic precipitation
LM – radar; north-westerly flow only (7 km mesh-size)
2004 2005
Problem: Orographic luv/lee pattern of precipitation.
(Partial) solution: full prognostic treatment of precipitating hydrometeors (e.g., rain, snow, and graupel).
8 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Convection:For 7 km mesh-size or larger …• Operational: Tiedtke mass-flux scheme (1989); closure
based on moisture convergence.• Options:
• Tiedtke scheme with CAPE closure.• Kain-Fritsch mass-flux scheme (1993) by Kain.
• Recently tested: Kain-Fritsch mass-flux scheme by Bechtold (2001), with closure based on CAPE.
• Results:• Improved diurnal cycle (over flat terrain).• Spin-up problem.• (Stronger) overestimation of precipitation amounts,
especially for light precipitation.
Code no longer maintained (???). – Test of IFS scheme instead?
9 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Convection:For convection-resolving scales …No parameterisation scheme for (deep) convection.
This however generates a serious problem:
• Boundary layer too moist.
• Low cloud cover too high.
Insufficient transport of moisture through top of the boundary layer!
Quick solution:
Use of Tiedtke scheme for shallow convection only.
Envisaged long-term solution:
Unification of turbulence and shallow convection scheme.
UTCS project.
10 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Turbulence
• 2nd-order one-equation closure scheme: prognostic TKE, algebraic relations for other 2nd-order moments. Included are:
• subgrid-scale condensation and evaporation (moist conservative variables);
• effect of subgrid-scale horizontal inhomogeneity of the underlying surface (additional source of TKE, most notably in the stably stratified PBL).
• Surface-layer transfer scheme with a laminar-turbulent roughness sub-layer.
• Extensions: UTCS project.
11 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Lower boundary condition: Known surface types in LM
sea / sea ice: externally prescribed surface temperature; constant during integration
land:soil temperature and water content predicted by soil and vegetation model TERRA
rock or ice:impermeable for water; temperature profile simulated by TERRA
lake:prognostic surface temperature (water or ice) forecasted by lake model Flake
A grid box is covered completely by either
12 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Multi-layer soil and vegetation model
Modification for thermal part: solution of heat conduction equation instead of extended force restore method arbitrary number (and thickness) of soil layers
freezing/melting of soil water included (improved T2m in Winter)
simpler lower boundary condition
InterceptionSnow
no water flux
prescribed T
Two-layer TERRA (old)
1.0 m
0.1 m
Snow
constant T
free drainage
***
*
Multi-layer TERRA (new)
*
*
Interception
2.43 m
7.29 m
0.01 m
0.81 m
13 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Multi-layer soil and vegetation model
Further modifications:
• thermal part:• simplified treatment of melting snow• time-dependent snow density
( [50, 400] kg/m3; to reduce negative T2m bias over snow)• dependence of snow albedo on time and forest cover
( [0.7, 0.2]; to reduce negative T2m bias over snow)
• hydrological part:• new lower boundary condition
(no water flux gravitational drainage)
Problems:
• soil dries out (especially lower layers)
15 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
New: Lake Model ‚FLake‘ (D. Mironov et al., see http://nwpi.krc.karelia.ru/flake)
s(t)
b(t)
I(t)
S(t)
(b)
L
H
(t)
h(t)
D
L
H(t)
-HI(t)
-HI(t)-H
S(t)
Snow
Ice
Water
Sediment
A computationally-efficient lake parameterisation scheme based on the idea of self-similarity (assumed shape, similar to the mixed-layer idea) of the evolving temperature profile.
Prognostic variables are …
• the surface temperature,
• the mean temperature of the water column,
• the bottom temperature,
• the mixed-layer depth,
• the depth within bottom sediments penetrated by the thermal wave, and the temperature at that depth (bottom sediment module may be switched off).
… plus in case of ice-covered lake
• the ice thickness,
• the temperature at the ice upper surface,
• the snow thickness, and the temperature at the snow upper surface (in the present pre-operational configuration, snow is treated in a simplified way).
16 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
New: Lake Model ‚FLake‘
0 48 96 144 192 240 288 33618
19
20
21
22
23
24
25
26
time, h
s-
f , K
Single column test:Kossenblatter See, June 1998
FLakeobservations
ice thickness
LM test suite:Lake Balaton, 2006
testoperational (SST analysis)
lake surface temperature
FLake is able to simulate diurnal as well as seasonal variations of lake surface temperature (T of water surface or of ice surface) realistically!
17 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Lower boundary condition: New developments
• Urban model• development within the FUMAPEX project
• Mosaic & tile approach• is currently being implemented
• Measurement derived soil moisture analysis• based on a standalone version of TERRA• driven by observations
18 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
COSMO Priority Projects
• UTCS: Towards a Unified Turbulence Shallow Convection Parameterisation
talk by Dmitrii Mironov
• QPF: Tackle deficiencies in Quantitative Precipitation Forecasts
19 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
Quantitative Precipitation Forecasts
Aim:
Study LM (7 km mesh-size) deficiencies concerning QPF by running sensitivity experiments on a series of well chosen cases with poor model performance.
Results expected by September 2007.
18 March 2005
20 LM Physics | Overview and OutlookMarco Arpagaus ([email protected]), Consortium for Small-Scale Modelling (COSMO)
To conclude …
• More information: Scientific documentation available on COSMO web-site at http://www.cosmo-model.org/public/documentation.htm.
• Acknowledgements: All COSMO members, especially colleagues of Working Group 3 ‘Physical Aspects’.
• Thank you for your attention!