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WMO Lead Centre for
Annual-to-Decadal Climate Prediction



System Configuration Information for Global Producing Centers

 

BSC

CCCma

DWD

MOHC

When was the current decadal prediction system implemented?

January 2022

2019

2020

Oct 2021

Is it a coupled forecast system?

Yes

Yes

Yes

Yes

Atmospheric model and resolution

IFS: T255 (~90 km), 91 levels

CanAM5: T63 (~300km), 49 levels

ECHAM6: T127(~200km), 47 levels

HadGEM3-GC3.1-MM: N216 (~60km), 85 levels

Ocean model and resolution

NEMO: ORCA 1° grid, 75 levels

CanNEMO: ORCA 1° grid, 45 levels

MPIOM: ~1.5ᵒ average, 40 levels

NEMO: ORCA 0.25ᵒ grid, 75 levels

Sea-ice model

LIM3

LIM2

Within MPIOM

CICE

Source of atmospheric initial conditions

ERA5

Full-field atmospheric winds, temperature and specific humidity nudged to ERA40/ERA-Interim/ERA5

Full-field nudged atmosphere with Ensemble Kalman filtering using ERA40/ERA5

Full-field atmospheric winds and temperature from ERA40/ERA-Interim/ERA5

Source of ocean and ice initial conditions

Assimilated ocean state from an ocean-only run with ERA5 surface forcings, ORA-S5 temperature and salinity at the surface and EN4 below the surface.

ORAS5, NOAA ERSSTv3/OISST. Sea Ice concentration from HadISST.2 merged with Canadian Ice Service charts (1958-2014) and CMC (2015-present). Sea Ice thickness from SMv3 statistical model.

Assimiliated ocean state with Ensemble Kalman Filtering using ocean temperature and salinity from EN4 observations and daily sea-ice concentration from NSIDC

Monthly potential temperature and salinity from the MOSORA ensemble and monthly sea-ice concentration from HadISST

Forecast Start Month

November

January

November

November

Hindcast period

1960-2019

1961-2020

1960-2020

1960-2018

Ensemble size for the hindcasts

10

20

10

10

How is the hindcast ensemble configured?

Different ocean initial conditions from multiple ocean assimilation runs.

Separate coupled assimilation for each ensemble member.

Lagged-day initialization

Stochastic physics perturbations in the atmosphere and multiple ocean analyses.

Ensemble size for the forecast

10

20

16

10

How is the forecast ensemble configured?

Same as hindcasts

Same as hindcasts

Same as hindcasts

Same as hindcasts

Length of forecasts

10 years

10 years

10 years

10 years

How are the forecast anomalies constructed?

Lead-time dependent climatology

Lead-time dependent climatology with trend correction for near-surface temperatures

Lead-time dependent climatology

Lead-time dependent climatology

URL where forecast(maps) are displayed

https://decadal.bsc.es/

Not available

https://www.fona-miklip.de/decadal-forecast/forecasts-archive/

Not available

Point of Contact

markus.donat@bsc.es pablo.ortega@bsc.es roberto.bilbao@bsc.es

reinel.sospedra-alfonso@ec.gc.ca

klaus.pankatz@dwd.de

leon.hermanson@metoffice.gov.uk





System Configuration Information for Contributing Centers

 

CMCC

DMI/SMHI

MIROC

RHMC

IITM-MoES

When was the current decadal prediction system implemented?

2020

2019

2019

2023

2024

Is it a coupled forecast system?

Yes

Yes

Yes

Yes

Yes

Atmospheric model and resolution

CAM v5: 0.9ᵒ latitude x 1.25ᵒ longitude, 30 hybrid levels up to 2 hPa

IFS: T255 (~80km), 91 levels (model top: 0.01 hPa)

MIROC6-AGCM: T85 (~1.4ᵒ), 81 levels

INM-CM5: 2°x1.5° regular grid, 73 levels (top level at 60km)

NCEP Global Forecasting System (GFS), T126 (∼1°) horizontal resolution, 64 levels

Ocean model and resolution

NEMO v3.6: ORCA 1ᵒ grid, 50 levels

NEMO3.6: ORCA 1ᵒ-grid, 75 levels

COCO: 1ᵒ with enhanced resolution in the tropics, 62 levels

INM-CM5, 0.5°x0.25° bipolar grid, 40 levels

GFDL Modular Ocean Model version 4p1 (MOM4p1), 0.5°x0.25° between 10S-10N becoming coarser up to 0.5° poleward of 30S-30N, 40 vertical levels

Sea-ice model

CICE

LIM3

Multi-category EVP sea-ice model as a submodule of COCO

INM-CM5, 0.5°x0.25° bipolar ocean grid

Sea Ice Simulator (SIS) version 1, 3 vertical layers, one snow and two ice

Source of atmospheric initial conditions

Full fields of ERA40 (1960-1978), ERA-Interim (1979-2018), ERA5 (2019-2020)

Full fields of ERA40/ERA-Interim/ERA5

6 hourly atmospheric winds, temperature and specific humidity from JRA55

ERA5/ERA INTERIM

NCEP CFS initial conditions

Source of ocean and ice initial conditions

3 members of global ocean reanalysis (CHOR for 1960-2010, CGLORS for 2011-2020)

Addition of interpolated ORAS5-anomalies (ORAS5 backward extension used before 1979) onto model climatology

Data assimilation based on simplified IAU for monthly ocean temperature, salinity, and sea-ice concentration

SODA 3.4.2/operative ocean analysis of Hydrometcenter of Russia

Ocean and ice initial conditions from reanalysis prepared by using ERA5, subsurface temperature and salinity are nudged to ORAS5 data

Forecast Start Month

November

November

November

November

November

Hindcast period

1960-2020

1960-2018

1960-2018

1960-2020

1980-2018

Ensemble size for the hindcasts

10

15

10

15

10

How is the hindcast ensemble configured?

Combinations of atmosphere, ocean and land initial conditions

1 unperturbed and 2 perturbed atmospheric temperature initial states

Separate coupled assimilation for each ensemble member

Perturbed atmospheric initial conditions by small random noise

NCMRWF-Ensemble Kalman Filter based perturbed atmospheric and surface initial conditions

Ensemble size for the forecast

10

15

10

15

10

How is the forecast ensemble configured?

Same as hindcasts

Same as hindcasts

Same as hindcasts

Same as hindcasts

Same as hindcasts

Length of forecasts

10 years

10 years + 2 months

10 years

5 years, 15 years every 5th year (i.e. 1964,69,…2019, 2024…)

10 years

How are the forecast anomalies constructed?

Lead-time dependent climatology

Data provided as full fields, bias- and drift- correction performed by WMO LC-GPC

Lead-time dependent climatology

Lead-time dependent climatology

Lead-time dependent climatology

URL where forecast(maps) are displayed

Not available

Not available

Not available

Not available

Not available

Point of Contact

panos.athanasiadis@cmcc.it

shuting@dmi.dkpasha.karami@smhi.se

kimoto@aori.u-tokyo.ac.jp

valentina_khan2000@yahoo.com

darshana.jrf@tropmet.res.in



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