Concours CNRS CR2, Section 19. Meudon, 17 Mars 2010

Irina Gorodetskaya

Candidate for Laboratoire de Glaciologie et Géophysique de l’Environnement, (UMR 5183 CNRS, Université Joseph Fourier-Grenoble)

Cryosphere

Clouds

Understanding Clouds and Their Effects on Radiative Budget and Precipitation in the Present and

Future Polar Climate

using model simulations and observations

Motivation CLOUDS?

Arctic sea icedecline!

2007x x

2008?

Credit: NSIDC

Arctic September sea ice extent

2009x

Relative annual mean precipitation change on the Antarctic ice sheet during the 21st century

Krinner et al. 2007

Antarctic precipitation increase?

The role of clouds in the Arctic sea ice

decline

Gorodetskaya and Tremblay 2008,AGU monograph “Arctic sea ice decline”

PhD at Lamont-Doherty Earth Observatory, Columbia University2002-2007 :

My Background

CCSM3 A1B CCSM3 A1B

Model simulations of present and future

Antarctic climate andsfc mass balance

My Background

Postdoctorat at Laboratoire de Glaciologieet Géophysique de l’Environnement November 2007 - present:

supervisors: H. Gallée and G. Krinner

Surface air temperaturedifference between the two models:

MAR nested in LMDZ

Gorodetskaya, Gallée, Krinner, in prep

Large-scale model (LMDZ)

Mesoscale model (MAR)

1981-1989 annual mean

Postdoctorat at K. U. Leuven, Belgium August 2009 - present:

Clouds and hydrologic cycle of Antarcticasupervisor: N. van Lipzig

My Background

AWS

• Phase 1 : meteorological and cloud measurements at the new Belgian Antarctic Station (Dronning Maud Land)

Cloud height

Precipitation

x

Cloud base temperature

• Phase 2 : use obtained data for regional model validation

Research project :

Clouds and Radiative Feedbacks in Present and Future Polar Climate

Data and Models :

Model validation Cloud schemeimprovement

Model simulationsand data analysis

Understanding climate change in polar regions

• Arctic sea ice loss• Greenland melt• Antarctic precipitation change

meso-scale (MAR)large-scale (LMDZ)

ground-based and satellite data

Arctic ocean Greenland/Antarctic

Meso => large scale

Model validation

Antarctica:Greenland:Arctic Ocean:

ARM networkSHEBA (1997/98)MPACE (2004)ASTAR (2004/7)ASCOS (2008)

Summit (ARM) (spring 2010+)

South Pole

Pr Elis (new!)

Dome C

DDU

Modèle Atmosphérique Régional (MAR)

Modèle de Laboratoire de Météorologie Dynamique with Zoom

capabilities over the polar regions (LMDZ)

+ CloudSat and CALIPSO => aerosols-clouds-precipitation

MAR validation :energy budget and temperature

Gallée and Gorodetskaya, Clim Dyn 2008

Temperature over Dome C, Antarctica

potential for model validation :clouds and precipitation

Princess Elisabeth station

snowfallevents (g/kg of snow particles)

accumulation, cm

Regional model simulations:

Snow fall event shownby radar reflectivity

Observations at Princess Elisabeth: Feb 1, 2010

Research project :

Clouds and Radiative Feedbacks in Present and Future Polar Climate

Data and Models :

Model validation

meso-scale (MAR)large-scale (LMDZ)

ground-based and satellite data

Arctic ocean Greenld/Antarctic

Cloud schemeimprovement

Model simulationsand data analysis

Understanding climate change in polar regions

• Arctic sea ice loss• Greenland melt• Antarctic precipitation change

Meso => large scale

I. Improve cloud scheme in regional

model:

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

GISS-ErHadCM3

CCSM3

ocean

land

LMDZ (IPSL)

Clo

ud ic

e fr

actio

n

Cloud temperature

Cloud schemesimprovement II. Improve cloud

phase representation in GCM (LMDZ)

MAR:

- tropospheric clouds are too thin

- ice particle size too large

- improve treatment of ice and snow size spectra

Research project :

Clouds and Radiative Feedbacks in Present and Future Polar Climate

Data and Models :

Model validation

meso-scale (MAR)large-scale (LMDZ)

ground-based and satellite data

Arctic ocean Greenland/Antarctic

Cloud schemeimprovement

Model simulationsand data analysis

Understanding climate change in polar regions

• Arctic sea ice loss• Greenland melt• Antarctic precipitation change

Meso => large scale

Application:understanding cloud-ice feedbacks

planet warming

precipitation

surface sens and latent heat fluxes

atm temperatureand humidity

large-scale advection

MELT

aerosols

?

cloud properties

+

++

radiativefluxes

ICE MASSBALANCE-

?

+/-

+/-+/-

LGGE :

“Climat moderne et observationsglaciologiques”

Climate modeling:

LMD (LMDZ/IPSL) S. Bony, J.-L. Dufresne

MeteoFrance (CNRM)

Cloud modeling:

LaMP MeteoFrance

in Europe :

Polar climate modling:Liege U, KU-Leuven,IMAU-Netherlands

Sea ice modeling:Louvain-la-Neuve

USA/Canada :

Arctic cloud obs and modeling (Rutgers, NCAR,U Montreal)

Arctic climate/sea ice (McGill, U Wash)

Collaborations

Cloud observations:

LaMPNOAAKU-LeuvenIFAC (Italy)

Observational programs:

GLACIOCLIM,CESOA (LGGE)ENEA programs (Italy)

French/European projects: Ice2Sea, COMBINE, HYDRANT, Arctic Observatory

International projects: NOAA’s Arctic Atmospheric Observatory (T. Uttal et al) ICECAP (V. Walden et al/Greenland)