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Treatment of Small Scale Land Surface Heterogeneity for Atmospheric Modelling (SSSAM) Günther Heinemann (1) and Michael Kerschgens (2) 1 Meteorologisches Institut der Universität Bonn, Auf dem Hügel 20, 53121 Bonn 2 Institut für Geophysik und Meteorologie der Universität zu Köln, Kerperner Str. 13, 50923 Köln Regional Evaporation at Grid / Pixel Scale over Heterogeneous Land Surfaces
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Effects of land surface heterogeneity on atmospheric transports Landsat TM 50m (Statistisches Bundesamt, 1997) False colours 0.63-0.69 0.76-0.90 1.55-1.75μm 20 km Measurement area Lindenberg experiments LITFASS 1998-2003
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°C Scharmützelsee FOOT 250m (20km, 80x80) Isamp=2 F=Falkenberg L=Lindenberg W=Wulfersdorf H=Herzberg K=Forst Kehrigk idealized FOOT simulation LITFASS 1998 17 June, 11 UTC
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Mesoscale and convective organized transports (dynamical transports) Feedback processes between dynamical transports and subgrid turbulence Dynamical effect Effects of land surface heterogeneity on atmospheric transports Investigation of the dynamical effect and its role in the vertical energy- and momentum transport Goals SSSAM Development of averaging strategies for vertical transports on the scale of weather forecast and regional climate models (Grid / Pixel Scale)
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Non-hydrostatic numerical model FOOT3DK parameterizations: Vegetation and soil moisture: ISBA, Noilhan and Planton (1989) turbulent fluxes: SL: Louis (1979) PBL: prognostic TKE closure subsurface heat flux: 2 layer model radiation (two-stream) moist convection (Tiedke, 1989, modified Sogalla and Kerschgens, 2001) grid: Arakawa-C 40x40, 80x80 0.25-48 km 21-31 -levels non-hydrostatic input data: initial fields: LM (7km) synthetic data Idealized simulations for idealized inhomogeneities and for the Lindenberg area: T/q profiles for 17 June 1998, idealized geostrophic forcing Realistic simulations for the Lindenberg area LM 7km FOOT 1kmFOOT 0.25km u, v, w, T, q, p, u g, v g CLW, RR Soil: type, T, W u, v, w, T, q, p, u g, v g CLW, RR Soil: type, T, W
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Treatment of heterogeneity effects for surface energy fluxes Mahrt (1996) subgrid velocity scale w fc =w * = convection velocity scale C a,eff = effective exchange coefficient (e.g. from effective z 0 ) Mosaic method Standard mosaic method: T 0, q 0, a 0 from 1D-SVAT model ‘Optimal‘ mosaic method: T 0, q 0, a 0 from sub-grid model Aggregation method modified with w *
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250m, L C = 4 km, V g = 2 m/s, F x = 12km Idealized simulations meadow/bare soil
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250m, L C = 4 km, V g = 8 m/s, F x = 12km
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1 km, L C = 16 km, V g = 2 m/s, F x = 48km
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250 m, LITFASS, V g = 2 m/s, F x = 12km, W = 60% Idealized simulations LITFASS area
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Realistic simulations LITFASS area 17 June 1998, nesting LM7 250 m, LITFASS, v g (LM)≈14 m/s, F x = 12km, W = W(LM)
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Idealized simulations LITFASS area Subgrid and mesoscale TKE Realistic simulations LITFASS area 17 June 1998, nesting LM7 TKE/SKE at 30m v g (LM)≈14 m/s, F x = 12 kmV g = 2 m/s, F x = 12km
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Non-linear effects for area-averaged surface fluxes Energy balance 1D Area average
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Dependence on averaging scale Realistic simulations LITFASS area 17 June 1998, nesting LM7 Average 9-17 UTC 250 m, LITFASS, v g (LM)≈14 m/s, W = W(LM)
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Idealized simulations LITFASS area Average 9-17 UTC 250 m, LITFASS, V g = 2 m/s, W = 60%
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H in W/m² Idealized simulations LITFASS area 250 m, F x = 2 km, v g =2 m/s250 m, F x = 250 m, v g =2 m/s
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250 m, F x = 2 km, v g =2 m/s H 0 -H 0,mosa in W/m²E 0 -E 0,mosa in W/m² Variance ff(30m) in m²/s²Variance T(0m) in K²
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Summary Method: FOOT3DK simulations (resolution down to 250m) idealized and realistic surfaces and synoptic forcings (LITFASS98) Assessment of the dynamic effect for averaging methods (mosaic and aggregation) for scales of 10-20 km - dependence on the scale/structure of the heterogeneity - mosaic method yields good results for wind speeds exceeding 4 m/s Scale dependence of area-averaged surface fluxes caused by non-linear effects - sub-grid TKE (SKE) - radiation and clouds - surface temperature and soil moisture
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Outlook Lindenberg experiment LITFASS 2003 EC Profiles Precip. Precip./G Scintillometer
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