GardeGarde Parameterization and physico-dynamical interface developments for the LAM ALADIN and CSRM AROME Jean-Marcel Piriou, Météo-France. EWGLAM / SRNWP

GardeGardeGardeGardeParameterization and physico-dynamical interface Parameterization and physico-dynamical interface developments for the LAM ALADIN and CSRM AROMEdevelopments for the LAM ALADIN and CSRM AROMEJean-Marcel Piriou, Météo-France.Jean-Marcel Piriou, Météo-France.EWGLAM / SRNWP Workshop, Zürich 9-13 October 2006.EWGLAM / SRNWP Workshop, Zürich 9-13 October 2006.

Parameterization and physico-dynamical interface Parameterization and physico-dynamical interface developments for the LAM ALADIN and CSRM AROMEdevelopments for the LAM ALADIN and CSRM AROMEJean-Marcel Piriou, Météo-France.Jean-Marcel Piriou, Météo-France.EWGLAM / SRNWP Workshop, Zürich 9-13 October 2006.EWGLAM / SRNWP Workshop, Zürich 9-13 October 2006.

IntroductionIntroduction

Operational and research models operated: designing unified Operational and research models operated: designing unified

schemesschemes


Operational and research models operated: designing unified Operational and research models operated: designing unified

schemesschemes

Global regular ARPEGE

Global ARPEGEAquaplanet mode

PHYSICS

SCM ARPEGE (EUROCS, GATE, TOGA,BOMEX, ARM, RICO, …)

CSRM AROME / 3DVAR / 2.5 km

LAM ALADIN / 3DVAR / 5-10 km

Global stretched ARPEGE / 4DVAR-ass. / 23 to 133 km

Sharing parameterizations between Sharing parameterizations between models:models:

1.1. Simpler to manage a single set of Simpler to manage a single set of source codes.source codes.

2.2. Feedback from cases studies, Feedback from cases studies, scores, users scores, users modifications modifications improve also the other models.improve also the other models.

3.3. Sharing a simple and general Sharing a simple and general concept concept better understanding: better understanding: convection, …convection, …


Several operational and research models operatedSeveral operational and research models operated


Several operational and research models operatedSeveral operational and research models operated

SummarySummarySummarySummary

On-going efforts in designing unified equation sets:On-going efforts in designing unified equation sets:

1.1. Subgrid-scale convection: 3MT Subgrid-scale convection: 3MT Fit wider range Fit wider range of grid sizes (GCM - LAM - CSRM).of grid sizes (GCM - LAM - CSRM).

2.2. Grid-scale: Catry et al. 2006 equations: flux-Grid-scale: Catry et al. 2006 equations: flux-conservative thermodynamic equations.conservative thermodynamic equations.

3.3. Phys.-dyn. diagnostics: shared between GCM – Phys.-dyn. diagnostics: shared between GCM – LAM - CSRMLAM - CSRM

CSRM AROME developmentsCSRM AROME developments

1.1. Testing the prototypeTesting the prototype

2.2. Subgrid-scale shallow convection Subgrid-scale shallow convection

FinFinFinFin

3MT: A convective scheme using 3MT: A convective scheme using separate microphysics and separate microphysics and transport terms in grid-scale transport terms in grid-scale equationsequations

3MT (Modular Multiscale Microphysics and Transport Convective Scheme)3MT (Modular Multiscale Microphysics and Transport Convective Scheme)

Separating microphysics and transport in grid-scale convective Separating microphysics and transport in grid-scale convective

equationsequations


Separating microphysics and transport in grid-scale convective Separating microphysics and transport in grid-scale convective

equationsequations

(Q1c: réchauffement convectif, Q2c: assèchement convectif fois L)(Q1c: réchauffement convectif, Q2c: assèchement convectif fois L)

Net condensationNet condensation

TransportTransport

3MT:

Unbuoyant convective condens. (overs.)Unbuoyant convective condens. (overs.)

Cloudy evaporation Cloudy evaporation

Precipitation evaporation Precipitation evaporation

TransportTransport

SH précip., melt. SH précip., melt.

Buoyant convective condensationBuoyant convective condensation

3MTM & T coupled:

3MT (Modular Multiscale Microphysics and Transport Convective Scheme)3MT (Modular Multiscale Microphysics and Transport Convective Scheme)3MT (Modular Multiscale Microphysics and Transport Convective Scheme)3MT (Modular Multiscale Microphysics and Transport Convective Scheme)

3MT:

Consequences:Consequences:

• Grid-scale equations of the SGS convective Grid-scale equations of the SGS convective scheme are closer to those of CSRM or LES.scheme are closer to those of CSRM or LES.

• Can share microphysical modules between CSRM Can share microphysical modules between CSRM and parameterization.and parameterization.

• Validation of the parameterization versus CSRM or Validation of the parameterization versus CSRM or LES can be done for each of the above terms.LES can be done for each of the above terms.

• No need to assume a stationnarized cloud budget No need to assume a stationnarized cloud budget more consistent with a future prognostic more consistent with a future prognostic equation of cloud fraction.equation of cloud fraction.


What has been done so farWhat has been done so far


What has been done so farWhat has been done so far

3MT:

First prototype withFirst prototype with

• Deliberately crude microphysics (simple Deliberately crude microphysics (simple condensation scheme, autoconversion/collection, condensation scheme, autoconversion/collection, diagnostic q_r q_s, Kessler-type evaporation)diagnostic q_r q_s, Kessler-type evaporation)

• New proposal for entrainmentNew proposal for entrainment


Mass flux / vertical velocity in the SGS convectif updraftMass flux / vertical velocity in the SGS convectif updraft


Mass flux / vertical velocity in the SGS convectif updraftMass flux / vertical velocity in the SGS convectif updraft

Taking into account the overshoots.Taking into account the overshoots.

LNB

Vertical integral of buoyancy

Top

P & NH effects Siebesma et al. (2003)

3MT:3MT:


Cold pools and entrainmentCold pools and entrainment



Shallow cumulus phase

High entrainment: 1310 m





Precipitating cumulus phase

Intermediate entrainment: 14106 m





Deep convection phase

Low entrainment: 14103 m


Entrainment: an heuristic proposal: prognostic link evap. prec. Entrainment: an heuristic proposal: prognostic link evap. prec.

entr.entr.


Entrainment: an heuristic proposal: prognostic link evap. prec. Entrainment: an heuristic proposal: prognostic link evap. prec.

entr.entr.

Zeta’s source is precipitation evaporation, Zeta’s source is precipitation evaporation, zeta’s sink is a linear relaxation to zero.zeta’s sink is a linear relaxation to zero.

Entrainment epsilon depends on local pressure Entrainment epsilon depends on local pressure and on zeta, probability of undiluted and on zeta, probability of undiluted ascents at the current levelascents at the current level

14103 m 1310 m


Results on the EUROCS diurnal cycle of deep conv. over landResults on the EUROCS diurnal cycle of deep conv. over land


Results on the EUROCS diurnal cycle of deep conv. over landResults on the EUROCS diurnal cycle of deep conv. over land

Q2Q2ARPEGARPEG

EEoper oper

ARPEGEARPEGEV1 V1

Q2 CSRM Q2 CSRM MNHMNH

Q2Q2ARPEGEARPEGEhistoricalhistoricalentr.entr.

Piriou, Redelsperger, Geleyn, Lafore, Guichard, Subm. JAS 2006.


Partly resolved convection: Luc GerardPartly resolved convection: Luc Gerard



3MT:

To run in the « grey zone »To run in the « grey zone »

• A large scale condensation scheme based on A large scale condensation scheme based on Smith (1990).Smith (1990).

• A prognostic mass-flux scheme extended from A prognostic mass-flux scheme extended from Gerard and Geleyn (2005).Gerard and Geleyn (2005).

• 3MT equations, Piriou (2005).3MT equations, Piriou (2005).

• Microphysical routine derived from Lopez (2002).Microphysical routine derived from Lopez (2002).

• Prognostic mass-flux parameterization of a moist Prognostic mass-flux parameterization of a moist downdraft driven by evaporative cooling.downdraft driven by evaporative cooling.





FinFinFinFin

Flux-conservative Flux-conservative thermodynamic thermodynamic equationsequations

Flux-conservative thermodynamic equationsFlux-conservative thermodynamic equationsFlux-conservative thermodynamic equationsFlux-conservative thermodynamic equations

An equation framework, ready for An equation framework, ready for discretizationdiscretization

• Total-mass based framework, use of the Total-mass based framework, use of the full barycentric velocity as the vector of full barycentric velocity as the vector of advection.advection.

Even in full prognostic treatment of cloud Even in full prognostic treatment of cloud and prec. Processes, flux conservative and prec. Processes, flux conservative form of all relevant budgets.form of all relevant budgets.

Flux conservative form kept when going Flux conservative form kept when going from H-Prim. equ. To fully compressible from H-Prim. equ. To fully compressible system.system.

Catry, Geleyn, Tudor, Bénard, Trojakova, Catry, Geleyn, Tudor, Bénard, Trojakova, Tellus (2006) Tellus (2006)

Flux-conservative thermodynamic equationsFlux-conservative thermodynamic equationsFlux-conservative thermodynamic equationsFlux-conservative thermodynamic equations

Catry, Geleyn, Tudor, Bénard, Trojakova, Tellus (2006) Catry, Geleyn, Tudor, Bénard, Trojakova, Tellus (2006)

Increasing realism

Dark grey: unrecommended choices

FinFinFinFin

AROME developmentsAROME developments

1/ Testing the prototype1/ Testing the prototype

Prototype AROMEPrototype AROME

Source Yann Seity, Météo-France/CNRM GMAP 2006.Source Yann Seity, Météo-France/CNRM GMAP 2006.

22

MIDPYRSUDE

NORE

PARI

BRET

Domaines AROME configurés sur la FRANCE

MIDPYR depuis Juin 2005 + SUDE sept-dec 2005, NORE dec2005-avr2006, PARI mai-sept2006

FRAN

Source Yann Seity, Météo-France/CNRM GMAP 2006.Source Yann Seity, Météo-France/CNRM GMAP 2006.

13TU

Orages (22-05-2006)

Source Yann Seity, Météo-Source Yann Seity, Météo-France/CNRM GMAP France/CNRM GMAP 2006.2006.

FinFinFinFin


2/ Subgrid-scale shallow 2/ Subgrid-scale shallow convection convection

wzt

Eddy diffusivity

zKw

)( uMw

Subgrid mixing:

uwM

Mass-flux


Subgrid-scale shallow convection: S. Malardel, V. Masson, J. Subgrid-scale shallow convection: S. Malardel, V. Masson, J.

PergaudPergaud



PergaudPergaud

EDKF updraftprototype

LCL

uM

uu

χc

χf(χ)dχMt0

1

1χc

χ)f(χ)dχ(Mt

From Kain and Fritsch,1990

(surface fluxes)SURFEX

e

w'r'rr surft

ut

3/1

up

v

Lw'θ'g

CM surf

ref

u

e

w'θ'θθ surfl

ul

dn

u

L

MCE )1(

up

u

L

MCD )1(

From Lappen and Randall,2001



PergaudPergaud



PergaudPergaud

Rico : high resolution composite case

No shallow convection scheme

Explicit cloud under a strong inversion



PergaudPergaud



PergaudPergaud

Rico : high resolution composite case

EDKF (Pergaud, Malardel, Masson)with subgrid autoconversion

Rain specific content (g/kg)



PergaudPergaud



PergaudPergaud

FinFinFinFin

ConclusionsConclusions

Conclusions / perspectivesConclusions / perspectivesConclusions / perspectivesConclusions / perspectives

• On-going efforts to develop unified On-going efforts to develop unified approaches: 3MT, grid-scale approaches: 3MT, grid-scale equations sets, microphysics, DDH equations sets, microphysics, DDH physico-dynamical diagnostics.physico-dynamical diagnostics.

• AROME prototype: developments AROME prototype: developments and validation under progress.and validation under progress.

Documents

GardeGarde Parameterization and physico-dynamical interface developments for the LAM ALADIN and CSRM AROME Jean-Marcel Piriou, Météo-France. EWGLAM / SRNWP