Presented at the 8th

The LM Climate Mode (CLM)The LM Climate Mode (CLM) and the and the

Leapfrog SchemeLeapfrog Scheme oror

the other way to

A.WillA.Will11, U.Böhm, U.Böhm33, A.Block, A.Block1 , 1 , K.KeulerK.Keuler11, B.Rockel, B.Rockel22,,

M.BaldaufM.Baldauf44 , A.Gaßmann , A.Gaßmann66, H.-J.Herzog, H.-J.Herzog44, and U.Schättler, and U.Schättler44

1 Brandenburg Technical University (BTU), Cottbus, Germany1 Brandenburg Technical University (BTU), Cottbus, Germany

2 GKSS Research Center Geesthacht, Geesthacht, Germany2 GKSS Research Center Geesthacht, Geesthacht, Germany

3 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany3 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany

4 German Weather Service (DWD), Offenbach, Germany4 German Weather Service (DWD), Offenbach, Germany, 6 , 6 University of Bonn, University of Bonn,

GermanyGermany

Presented at the 8th General Meeting

Developed by the CLM-Community

in cooperation with the

German weather service

Phenomenon Model Physics Outlook

Model run configuration:Model run configuration: CLM_2.4.8 -> CLM_2.4.8 -> www.clm-community.euwww.clm-community.eu and LM_3.19and LM_3.19 Model domain: Model domain:

• EURope (193 x 217)EURope (193 x 217)• Extended EURope (256x271)Extended EURope (256x271)• LMELME

Data:Data:• ERA40ERA40• GMEGME• ECHAM5+OPYCECHAM5+OPYC

Dx = 18kmDx = 18km Dt := 90 s for leapfrogDt := 90 s for leapfrog

TERRA_MLTERRA_MLββ• 10 Layers10 Layers

• z_1=1cm, z_10=11.5mz_1=1cm, z_10=11.5m

Dts = 30 sDts = 30 s





TOT_PREC TOT_PREC + ∆ v+ ∆ v, mean July 60, ECHAM5, mean July 60, ECHAM5DT=90, DX=0.165




Film: TOT_PREC+PP





Variation of ConfigurationVariation of Configuration

DXoriginal Vert.

Resol.nesting sponge

0.165Shower

? ? ?

0.44

? ? ? ?

Domain size ? ? ? ?

CFL: V < 160 km/h for DT=90CFL: V < 160 km/h for DT=90









EXT, DX=0.44









DX=0.165 nested in DX=0.=0.44





Climate Mode, mean July 79-94, ERA15Climate Mode, mean July 79-94, ERA15




[mm]

0 0 0

climate mode Model Results Outlook





Variation of ConfigurationVariation of Configuration

DX

Vert. Resol.

nesting sponge

CFL:

V <

160

km/h

for

DT=90

0.165Shower

? ? ?

0.44





DTS

DT

30 ~20 15 10

CFL:

V <

160

km/h

for

DT=90

90? ? ?

75? ? ? ?

60? ? ? ?

Shower

Dependence on the time step: Dependence on the time step: CLM_2.4.8, DX=0.165, KON≈LMECLM_2.4.8, DX=0.165, KON≈LME





DT=90, DTS=30 TOT_PREC 7/60 DT=90, DTS=10





DT=75, DTS=30 TOT_PREC 7/60 DT=75, DTS=18.75





DT=75, DTS=10 TOT_PREC 7/60 DT=75, DTS=18.75





DT=60, DTS=30 TOT_PREC 7/60 DT=60, DTS=10





T(l,t) central Spain 7/60DT=90 DT=75 DT=60

DTS=30 DTS=10 DTS=30 DTS=18.75 DTS=10 DTS=30 DTS=10

300 K 280 K 220 K





DTS

DT

30 ~20 15 10

CFL:

V <

160

km/h

for

DT=90

90

75Reference

60 ,,The day after

tomorrow‘‘

Shower

Shower

Overview: Leapfrog, CLM_2.4.8, DX=0.165, KON≈LMEOverview: Leapfrog, CLM_2.4.8, DX=0.165, KON≈LME





Dyn.

DT

LM leapfrog dry Leapfrog semi-impl.

RK p` RK p`T`

90

75

Reference

Shower

Model Physics LM 3.19, DX=0.165, LME-Region, DTS=30s

??????

Simulation series calculated by Ulrich SchättlerSimulation series calculated by Ulrich Schättler





Joining Skills of weather forecastJoining Skills of weather forecast

and (regional) climate modellingand (regional) climate modelling Weather ForecastWeather Forecast• Detailed analysis of weather Detailed analysis of weather

phenomena in a nonhydrostatic phenomena in a nonhydrostatic modelmodel

• Extended model tests in the Extended model tests in the operational wether forecastoperational wether forecast

• Systematic development of Systematic development of physical parameterizationsphysical parameterizations

• Further development of numerical Further development of numerical schemesschemes

Climate Modelling• Separation of model physics,

initial and boundary conditions and data assimilation

• Detection of potential short-comings of LM clearly visible in long-term integrations.

• Assessment of climatologically relevant components (hydrological cycle, soil, conservation principles).

• Further development of the climate mode: “open” boundary conditions, new modules for aerosols, chemistry, biosphere and SST-dynamics , globally conserving and dispersion free numerical schemes

for improved operational weather forecast and

regional climate prediction with the hybrid LM/CLM

Thank you for attention !




Phenomenon Model Physics CLM

2002

12.2005

10.2006

3.2004

6.2003




Phenomenon Model Physics CLM

The climate and the forecast modeThe climate and the forecast modeClimate mode Climate mode Forecast modeForecast mode

Integration time Integration time 100y and more (from restart) 100y and more (from restart) 78h78h

Dependence on initial values Dependence on initial values no / weak after spin up no / weak after spin up strong strong

Nudging of observations Nudging of observations possiblepossible yesyes

vegetation, CO2 etc., SSTsvegetation, CO2 etc., SSTs prescribed prescribed constantconstant

Conservation principlesConservation principles high sensitivity high sensitivity hardly detectablehardly detectable

Statistics Dependence on initial conditions no yes

Dependence on boundary condit. Yes yes

Dependence on observations weak strong

Presented at the 8th

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