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CSIRO
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CCCMA
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BSC
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MOHC
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DWD
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When was the current decadal prediction system implemented?
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January 2020
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2012
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June 2011
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Oct 2015
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2011
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Is it a coupled forecast system?
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Yes
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Yes
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Yes
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Yes
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Yes
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Atmospheric model and resolution
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AM2: 2◦ latitude x 2.5◦ longitude, 24 levels
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CanCM4: T63 (~300km), 35 levels
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IFS: T159 (~125 km), 62 levels
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HadGEM3-GC2: N216 (~60km), 85 levels
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ECHAM6: T127(~100km), 95 levels
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Ocean model and resolution (if applicable)
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MOM5: ACCESS grid (1° resolution, enhanced resolution in the tropics and Southern Ocean, 50 levels)
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1.4° longitude ´ 0.94° latitude, 40 levels
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NEMO: ORCA 1ᵒ grid, 42 levels
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NEMO: ORCA 0.25ᵒ grid, 75 levels
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MPIOM: 0.4ᵒ average, 40 levels
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Sea-ice model (if applicable)
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Sea Ice Simulator (SIS)
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Cavitating fluid rheology and an energy balance model
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LIM2
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CICE
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Within MPIOM
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Source of atmospheric initial conditions
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Coupled ensemble Kalman filter assimilation of atmosphere, ocean and sea ice observations
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6 hourly atmospheric wind, temperature and specific humidity
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ECMWF (FULLPOS software)
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6 hourly atmospheric winds and temperature from ERA40/ERA-Interim
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Nudging to 6 hourly temperature, vorticity, divergence, surface pressure from ERA40/ERA-interim
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Source of ocean and ice initial conditions
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Coupled ensemble Kalman filter assimilation of atmosphere, ocean and sea ice observations
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Interpolated monthly/daily sea surface temperature, sea ice concentration. Sea ice thickness nudged to a model climatology. Offline variational assimilation of 3D ocean temperature
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Interpolation of ORAS4 data
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Monthly potential temperature and salinity from MOSORA and monthly sea-ice concentration from HadISST
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Monthly ocean temperature and salinity from ECMWF ORA-S4 and daily sea-ice concentration from NSIDC
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Hindcast period
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1960-2018
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1960 – 2010
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1960-2017
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1960-2015
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1960 - 2017
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Ensemble size for the hindcasts
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10
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10
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10
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10
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10
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How is the hindcast ensemble configured?
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Initial conditions are picked from members of a climate re-analysis.
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Separate coupled assimilation for each ensemble member.
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Perturbations of atmosphere and ocean initial conditions.
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Stochastic physics perturbations
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Lagged-day initialization
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Ensemble size for the forecast
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10
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10
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10
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20
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10
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How is the forecast ensemble configured?
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Same as hindcasts
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Same as hindcasts
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Same as hindcasts
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Same as hindcasts
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Same as hindcasts
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Length of forecasts
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10 years
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10 years
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10 years
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5 years
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10 years
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How are the forecast anomalies constructed?
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Lead-time dependent climatology
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Lead-time dependent climatology with trend correction for near-surface temperatures
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Lead-time dependent climatology
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Lead-time dependent climatology
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Lead-time dependent climatology
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URL where forecast(maps) are displayed
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Not available
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Not available
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Not available
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https://www.metoffice.gov.uk/research/climate/seasonal-to-decadal/long-range/decadal-fc/index
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https://www.fona-miklip.de/decadal-forecast/forecasts-archive/
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Point of Contact
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richard.matear@csiro.au
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bill.merryfield@canada.ca
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louis-philippe.caron@bsc.es
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nick.dunstone @metoffice.gov.uk
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klaus.pankatz@dwd.de
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