The GEOS-5 AOGCM

List of co-authors

Yury VikhliaevMax Suarez

Michele Rienecker

Jelena Marshak, Bin Zhao, Robin Kovack, Yehui Chang,Jossy Jacob, Larry Takacs, Andrea Molod, Siegfried Schubert

NASA Global Modeling Initiative chemistry

NOAA/GFDL dynamics

DOE/LANL sea ice model

GSFC/GOCART/Aerosols

2

GEOS-5 Model for CMIP5

GMAO physics

GMAO Land surfaceNOAA/GFDL ocean

For time-slice chemistry-climate simulations

IPCC aerosol and trace gas concentrations

Ocean Model on OGCM GridOcean Model on OGCM Grid

Air-sea Interface Component On Exchange gridAir-sea Interface Component On Exchange grid

Atmospheric Model on AGCM Grid (GEOS-5)

Atmospheric Model on AGCM Grid (GEOS-5)

Ocean Dynamics and Transport(MOM4)

Ocean Dynamics and Transport(MOM4)

Diurnal Layer(Price)

Diurnal Layer(Price)

Surface Wind, Air Temperature,Specific Humidity,other atmos constituents

Momentum, Heat, Moisture fluxes,Gas Exchanges

Mixed Layer Currents, Temperature, Salinity, etc

Momentum, Heat , Fresh Water, and Salt Fluxes

Gas Exchanges

Sea IceThermodynamics

(CICE)

Sea IceThermodynamics

(CICE)

Sea Ice Dynamics(CICE)

Sea Ice Dynamics(CICE)

All air-sea exchanges areimplicit in time

Ocean Radiation(NOMB)

Ocean Radiation(NOMB)

Ocean Biology(NOMB)

Ocean Biology(NOMB)

GEOS-5 AOGCM Coupling Configuration

GEOS-5 AGCM Component20 resolution with 72 vertical levels up to 0.01hPa

Finite volume dynamic core (lat-lon version)

Physics

Chou Radiation: shortwave, long wave

Turbulent mixing: vertical diffusion, PBL parametrization,

GWD.

LSM: Catchment (Koster)

Moist: RAS convection, Bacmeister moist physics

Prescribed aerosols and ozone

OceanMOM4

B-grid, tripolar, Z-coordinate

Two configurations

1° (0.5° equatorial refinement) x 50 levels

0.5° (0.25° equatorial refinement) x 40 levels

KPP vertical mixing

Isoneutral horizontal mixing

Anisotropic horizontal viscosity

Sea ice: CICE (LANL)

Target Projects for GEOS-5 AOGCM

ODAS (weakly coupled assimilation)

CMIP-5 Decadal climate simulations

Seasonal climate predictions

Validation Run

AGCM 144x91x72

OGCM 360x200x50

~100 years

Initial conditions: Levitus T and S, steady state

ocean; atmospheric state from uncoupled

experiment.

Zonal Mean Temperature

Coupled Uncoupled

TOA Radiation

Coupled Uncoupled

300mb Eddy Height

Coupled Uncoupled

Sea Level Pressure

Coupled Uncoupled

Total

Precipitation

SST Bias

SSS Bias

Zonal Mean Temperature

Zonal Mean Salinity

Equatorial Pacific SST

Equatorial Pacific SST Annual Cycle

Equatorial Pacific Zonal Wind Stress

Equatorial Pacific Taux Annual Cycle

Equatorial Pacific T,S

Equatorial Undercurrent

Equatorial Surface Currents

Equatorial Pacific T

GEOS5

TAO

Equatorial Pacific U

GEOS5

ADCP

Sea Ice Fraction, DJF

Sea Ice Fraction, JJA

Variability

MJO (daily precipitation) – get Wheeler-Kiladis

diagram from Yehui Chang

ENSO (nino3 ts, map (variance))

PDO? (compare to HADSST)

NAO?

Leading Mode of Global SSTGEOS5 HadlSST

Leading Mode of Global SSTGEOS5 HadlSST

ENSO Teleconnections

Coupled Uncoupled

Results of Replaying AOGCM to Scout Reanalysis (1982-2005)

GODAS

SODA

Replay

35°C

GMAO will contribute decadal prediction runs

GEOS-5 AOGCM: • Initialized using weakly coupled atmosphere-ocean data assimilation based on

MERRA• Includes aerosol direct effects

10-year, five-member ensemble predictions with 1º AGCM, 1/2º OGCM

30-year, five-member ensemble predictions with 2º AGCM, 1/2º OGCM

20th Century simulations with 2º AGCM, 1/2º OGCM, include a 10-member ensemble of free-running model and a MERRA-constrained run

Additional simulations with GEOS-CCM will include atmospheric chemistry-climate interactions

Simulations distributed through NCCS Earth System Grid node.

NASA GMAO Decadal Prediction Runs

37

T300 T300 Anomaly

70S – 70N

30N – 70N

Updated diagnostics - Upper oceanAverage T in upper 300m

Updated diagnostics - Upper oceanAverage T in upper 300m

Legend

30S – 30N

70S – 30S

For CMIP5 forecasts will use anomaly assimilation to reduce the impacts of climate drift – still testing the initialization.

Summary

Acknowledgments