Climate Forecasting Unit

Toward GELATO6 in EC-Earth3

V. Guemas, D. Salas-Mélia, M. Chevallier

virginie.guemas@ic3.cat, david.salas@meteo.fr,

matthieu.chevallier@meteo.fr

Picture from Matthieu Chevallier

Climate Forecasting Unit

A multi-category sea ice model since 1996

GE

LA

TO

LIM

3C

ICE

LIM

2

Melting

Ocean grid cell

Sea ice grid cell

h1

c1

h

c

h/2

c

c*2/3, h*2/3

h3

c3c, h

c => concentration, h => thickness

Number of categories to be selected in GELATO namelist

Climate Forecasting Unit

GELATO in CNRM-CM since 1999

NEMO

ARPEGE-climat atmosphere model

Dis

trib

utio

n

with

in G

ELA

TO

Number of categories to be selected in GELATO namelist

Climate Forecasting Unit

Old history:Old history: Development of Gelato (multi-category model) initiated in 1996 Dynamics + redistribution by rafting and ridging (1998) Coupling with OPA (1998) and ARPEGE-Climat (1999) Elastic-Viscous-Plastic = EVP rheology (2000) + incremental remapping (2002), Hunke & Dukowicz (1997)

CMIP5 (2009-2010): many new developmentsCMIP5 (2009-2010): many new developments Interactive prognostic salinity Salt uptake : follows Cox and Weeks (1988) Desalination processes adapted from Vancoppenolle et al., O. Mod. (2009) Enthalpy model H = H(T,S) and Cp=Cp(T,S) Vertical Heat Diffusion (VHD) Ice thermal conductivity k is a function of T,S (Pringle et al., 2007) Revised snow albedo (adapted from Curry et al. (2001)) New tracers can now easily be added : sea ice age

COMBINE (2011-2012)COMBINE (2011-2012) Development of a surface melt pond scheme

History of GELATO development

Climate Forecasting Unit

GELATO surface scheme

Melt ponds advected

Snow

NEMO

Salinity profile

drainage

Melt ponds + snow + ice

albedo

Explicit resolution of melt ponds

Climate Forecasting Unit

Use in forced mode embedded into NEMO

GELATO tested with DFS4.3, ERA-interim, CORE forcings

Chevallier et al 2013

Validation sea ice thickness against Lindsay (2010)Bias : -0.14 to -0.46 mRMSE : 0.64 to 1mCorrelation : 0.71 to 0.83

Climate Forecasting Unit

Use in coupled mode within CNRM-CM

Performance : 4min/year with 4 nodes (48 procs) on BULL in ORCA1

CMIP5 : 9000 years of simulation within CNRM-CM5 (Voldoire et al 2013) performed at CNRM

Decadal prediction activities: 3000 years of simulation performed at CERFACS (Germe et al 2014)

Seasonal prediction : best skill scores (Chevallier and Salas y Mélia 2012, Chevallier et al 2013)

Ensemble mean

Ensemble rangeObservations

Correlation skill:

CNRM-CM5 : 0.6

CFSv2 : 0.4

CanSIPS < 0.2

Climate Forecasting Unit

Toward an operational use for weather prediction

GELATO has been included in the next release of SURFEX crucial for weather prediction in Northern Europe

SURFEX is a surface model used operationally in Numerical Weather Prediction by the HIRLAM European consortium

Climate Forecasting Unit

The developers

David Salas y Mélia :

Matthieu Chevallier :

Aurore Voldoire :

Stéphane Sénési :

Virginie Guemas :

Initial developer and leader of the current development team

Validation and inclusion of new processes

1D tests, technical aspects (portability on different platforms, parallelisation …)

Inclusion in EC-Earth

Climate Forecasting Unit

In NEMO3.3.1-stand-alone from EC-Earth3.0.1

ORCA1

Climate Forecasting Unit

Timeline

• Evaluating GELATO6.0.47 within NEMO3.3.1 from EC-Earth3.0.1 in the ORCA025 stand-alone configuration

• Testing GELATO6.0.47 within EC-Earth3.0.1 in coupled mode in configuration ORCA1

Next month:

Later:

Testing and evaluation GELATO6.0.47 within EC-Earth3.0.1 coupled mode in configuration ORCA025

Climate Forecasting Unit

Thanks a lot for you attention

Any question to be directed to:

virginie.guemas@ic3.cat, david.salas@meteo.fr,

matthieu.chevallier@meteo.fr