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Willem A. Landman Simon J. Mason

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NCEP/GFS

Model Output Statistics Atmospheric ICs

Boundary Conditions

Resolution ~200km

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1.5°

1.5°

1.5°

0.5°

2.8°

2.8°

MOS correction improves equatorial SST predictions

MOS interpolates to common 1° x 1° OIv2 resolution

MOS extrapolates outside CGCM domains

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September 2010

September 2011

La Niña events of 2010/11 and 2011/12

Oceanic Niño Index:

DJF 2010/11

-1.4

DJF 2011/12

-0.9

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AUG ICs

SEP ICs

OCT ICs

NOV ICs

Predicted Subtropical Dipole Modes during 2010/11

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UCT-CSAG’s HadAM3P

SAWS’s ECHAM4.5

CSIR’s CCAM

Contributing to IRI’s NIÑO3.4 forecast plume:

1° x 1° resolution global SSTA available from

1982

Hindcast

Operational

Available from CSIR’s FTP site

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CCA-SST (M-J-J SST as predictor in statistical model)

COLA-RSMAS-CCSM3 (August initialization)

ECHAM4.5-MOM3-DC2 (August initialization)

Best model

Average (two techniques)

Weighted average

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Challenge for coupled model developers

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One of the most predictable phenomena (ENSO) are not perfectly predictable, adding to the

uncertainties in seasonal forecasts

South African modellers are expending a

significant amount of resources on model and system development

Forecast verification essential

For users’ confidence

To determine attributes of forecast systems

For the benefit of model developers

Referensi

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