Editorial Type:
Article
Article Type:
Research Article

Seasonal Forecasting in the Pacific Using the Coupled Model POAMA-2

Andrew Cottrill Centre for Australian Weather and Climate Research, Bureau of Meteorology, Melbourne, Victoria, Australia

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Harry H. Hendon Centre for Australian Weather and Climate Research, Bureau of Meteorology, Melbourne, Victoria, Australia

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Eun-Pa Lim Centre for Australian Weather and Climate Research, Bureau of Meteorology, Melbourne, Victoria, Australia

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Sally Langford Centre for Australian Weather and Climate Research, Bureau of Meteorology, Melbourne, Victoria, Australia

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Kay Shelton Centre for Australian Weather and Climate Research, Bureau of Meteorology, Melbourne, Victoria, Australia

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Andrew Charles National Climate Centre, Bureau of Meteorology, Melbourne, Victoria, Australia

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David McClymont DHM Software Pty Ltd., Toowoomba, Queensland, Australia

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David Jones National Climate Centre, Bureau of Meteorology, Melbourne, Victoria, Australia

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Yuriy Kuleshov National Climate Centre, Bureau of Meteorology, Melbourne, Victoria, Australia

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Print Publication:
01 Jun 2013
DOI:
https://doi.org/10.1175/WAF-D-12-00072.1
Page(s):
668–680
Restricted access

Abstract

The development of a dynamical model seasonal prediction service for island nations in the tropical South Pacific is described. The forecast model is the Australian Bureau of Meteorology's Predictive Ocean–Atmosphere Model for Australia (POAMA), a dynamical seasonal forecast system. Using a hindcast set for the period 1982–2006, POAMA is shown to provide skillful forecasts of El Niño and La Niña many months in advance and, because the model faithfully simulates the spatial and temporal variability of rainfall associated with displacements of the southern Pacific convergence zone (SPCZ) and ITCZ during La Niña and El Niño, it also provides good predictions of rainfall throughout the tropical Pacific region. The availability of seasonal forecasts from POAMA should be beneficial to Pacific island countries for the production of regional climate outlooks across the region.

Corresponding author address: Andrew Cottrill, Australian Bureau of Meteorology, 700 Collins St., Docklands, Melbourne VIC 3181, Australia. E-mail: a.cottrill@bom.gov.au

Abstract

The development of a dynamical model seasonal prediction service for island nations in the tropical South Pacific is described. The forecast model is the Australian Bureau of Meteorology's Predictive Ocean–Atmosphere Model for Australia (POAMA), a dynamical seasonal forecast system. Using a hindcast set for the period 1982–2006, POAMA is shown to provide skillful forecasts of El Niño and La Niña many months in advance and, because the model faithfully simulates the spatial and temporal variability of rainfall associated with displacements of the southern Pacific convergence zone (SPCZ) and ITCZ during La Niña and El Niño, it also provides good predictions of rainfall throughout the tropical Pacific region. The availability of seasonal forecasts from POAMA should be beneficial to Pacific island countries for the production of regional climate outlooks across the region.

Corresponding author address: Andrew Cottrill, Australian Bureau of Meteorology, 700 Collins St., Docklands, Melbourne VIC 3181, Australia. E-mail: a.cottrill@bom.gov.au
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