SLIDE 1 EUROCS DEEP CONVECTI VE CLOUDS DI URNAL CYCLE
DEEP CONVECTI ON OVER LAND
CNRM, ECMWF, LMD, Met Of f ice, NCAR & SMHI (Europe, Fr ance, Sweden, UK & US) Guichard & P et ch Beau, Belj aars, Chaboureau, Cheinet , Grabowski, Grandpeix, Grenier, J akob, J ones, Koehler, Laf ore, Piriou, Redelsperger, Royer, St irling, Tailleux, Tomasini EUROCS, 16 December 2002, Madrid
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OBJECTI VES t o document perf ormances of GCMs t o design a f ramework t o address t he problem (a simple case study f or CRMs & SCMs) t o analyse t he case, f indings, conclusions t o improve paramet erisat ions & GCMs
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Regional Climate Modelling Colin Jones most frequently occuring time of max precipitation in a diurnal cycle
(June 10-July 31 1993, from hourly accumulations)
0 2 4 6 8 10 12 14 16 18 20 22 24 hour (local time)
1 2
t he model capt ures t he broad early-lat e evening max of rainf all errors is in t he SE, could be relat ed t o t he proximit y of model boundaries
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COMMON CRMs/ SCMs CASE STUDY
1 : an « observed case » to assess our models over land
Sout hern Great Plains (US)
GCSS WG4 Case3a
4-day runs wit h deep convect ion f orcings prescribed f rom observat ions
(large scale advect ion, surf ace f luxes)
2 : building an « idealized case » to address the diurnal cycle of deep convection over land and its representation in models
because most event s of t he « observed case » not linked t o our aims
(not designed f or t his purpose)
mot ivat ed by Bet t s & J akob (2002) error in t he diurnal cycle of deep convect ion: shared by short & long- t erm GCM runs reproduced in SCM runs
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THE SI MULATI ONS : 6 SCMs & 4 CRMs model t ype SCM SCM SCM SCM SCM CRM CRM CRM CRM lab (model name) CNRM (ARPEGE, Clim & WF) ECMWF (I FS) LMD (LMDz) Met Of f ice (UM) SMHI (close t o HI RLAM) CNRM (mésoNH) CNRM (comeNH) Met Of f ice (UM) part icipant s Beau, Grenier, Piriou Chaboureau, J akob, Koehler, Becht old Tailleux Pet ch J ones Chaboureau & Tomasini Guichard Pet ch Grabowski NCAR (UM)
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I n practice Preparat ion of t he case Def init ion of a «base list s» of relevant diagnost ics t imes series & t ime-height series of select ed f ields mean prof iles, convect ive f luxes, subgrid-scale moment s, Q1, Q2, radiat ive heat ing rat es, cloud f ract ion, cloud wat er… CRMs : Lx ~ 500 km Dx ~ 250m t o 2km Dz ~ st ret ched 70-700m or less SCMs : operat ional version Closer lab-lab CRM-SCM direct collaborat ions, e.g. CNRM-ECMWF Sharing t he work, e.g. f or CRMs, sensit ivit y st udies: UK Met Of f ice: spat ial resolut ion CNRM: sub-grid scale represent at ion
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SI MULATI ON OF DEEP CONVECTI ON OVER LAND THE OBSERVED CASE broad conclusions consist ent wit h Xu et al. (2002) & Xie et al. (2002)
(new t est f or more t han 50% of models) an example : comparison wit h obs, min-max envelope f or CRMs & SCMs
min max
bet t er agreement & less scat t er among CRM result s t hat SCM ones
SLIDE 8 comparison CRMs & SCMs
(paramet ers f or which direct observat ions are not available)
- bviously room f or CRMs improvement s (« cold » microphysics)
however much more consist ency among CRMs t han SCMs very weak convect ive downdraught s in several SCMs
SLIDE 9 comments
Pet ch et al. (2002) f or CRMs
import ance of t he resolut ion and of t he represent at ion of subgrid-scale processes
because the good representation
- f boundary layer processes is
essential f or this issue
hour
SCMs & GCMs issues
complex int eract ions among paramet erisat ions involved
why convection occurs or not ? and how ? identif ying the major weaknesses to correct them in priority
SLIDE 10
THE I DEALI ZED CASE
similar t ype of f ramework as t he 1st one: 27 Mai 1997 of GCSS case 3a repeat ed t wice
(prescribed large-scale adv. & surf ace heat f luxes)
st art ing in t he morning inst ead of t he evening
night time local solar time (hour)
rainf all event s t end t o occurs earlier in SCMs t han in CRMs
SLIDE 11 precipitation CAPE CIN precipitation
20 days
julian day (1997)
values derived f rom observat ions (Xie et al. 2001)
f ree convection level température ~ 10 km ~ 1 km heigth f ree convection level
CI N CAPE
adapt ed f r om Roux (1991) dry adiabat atmospheric prof ile pseudo- adiabat Particule P condensation level thermal equilibrium level
What are the main reasons accounting f or these dif f erences ? (beginning)
development of large CAPE during dayt ime associat ed wit h boundary layer evolut ion by design, st rong link wit h CAPE in many paramet erizat ions (CAPE closure) Not much account of CI N in exist ing f ormulat ions
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Convective I nhibition (CI N)
large f luct uat ions linked t o t he surf ace but
in SCMs in CRMs
I n CRMs, signif icant increase of CI N associat ed wit h deep convect ion in SCMs, more largely cont rolled by t he diurnal cycle of t he surf ace t he impact of convect ion on CI N is t oo weak
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What are the main reasons accounting f or these dif f erences ? (cont inue)
SLIDE 14 What are the main reasons accounting f or these dif f erences ? (cont inue)
…before the development of deep convection a « shallow » non-precipitating transition period which last one to a few hours in CRMs …
Lx: 300 km 15 km
transition regime in CRMs, corresponding t o t he build up
- f convect ion: a f eat ure
« broadly coherent » wit h several previous observed st udies
Wylie & Woolf (2002)
total clouds
cold clouds
which f actors control the lenght of this phase? role of buoyancy, wind shear, moist ure…
snapshots of cloud + rain water content in CRM run (UK UM CRM, Petch)
SLIDE 15
in CRMs
saturation def icit
cloud f raction rain mixing ratio
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SCMs: saturation def icit SCMs: upward convective mass f lux
SLIDE 17
Chaboureau, Becht old, Köhler, Belj aars, et al.
ECMWF GCM
f ormulat ion of t he trigger f unction adding a represent at ion of local subgrid-scale f orcing (correct represent at ion of shallow convect ion required) 1D column mode
idealized EUROCS case (4-day composit e)
3D mode (i.e. ; f ull GCM)
Rhodonia, Amazonia (1-mont h composit e)
SLIDE 18
Chaboureau, Becht old, Köhler, Belj aars et al.
diurnal cycle of rainf all in the Tropics
diurnal composit e, Hovmüller diagram (20S-20N avg)
Africa Amazonia OBS Feb 1999 (TRMM data) ECMWF GCM Standard Feb 1999 ECMWF GCM Modif ied Feb 1999
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CONCLUSI ON, PERSPECTI VES
document at ion of GCMs & RCMs weaknesses/ diurnal cycle of deep convect ion assess CRMs/ SCMs over land wit h GCSS/ ARM case design an idealized case t o address t he problem
and it worked! i.e., deep convect ion occurs ear lier t han observed in many SCMs runs (consist ent wit h result s of GCMs)
bet t er result s/ consist ency among CRMs t han SCMs
(T & q, cloud paramet ers: agreement wit h previous st udies)
CRM runs : t he t reat ment of t he BL is crucial
increased horizont al resolut ion &/ or subgr id-scale processes raising issues concerning t he gap bet ween shallow and deep convect ion (numer ical invest igat ion)
SCM runs: ident if ying t he maj or weknesses & t est ing modif icat ions no succession of dry-shallow-deep regimes in SCMs, dry t o deep direct ly
sensit ivit y t o t he t riggering cr it eria dist inct diurnal cycle of st abilit y in CRMs & SCMs (weak par am. downdr af t s)
improvement of GCMs
f irst result s quit e successf ull, ongoing act ivit y & more need t o be done