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Number of years covered: 1981-2013
Produced on the fly or fix re-forecasts? fix
Frequency: on 1st, 6th, 11th, 16th, 21st, 26th of each month. 33-members are run for 9 months for 1980-2013.
Ensemble size: 33 members
Initial conditions: Nudged atmos-land using ERA Interim. Ocean from PEODAS reanalyses. Is the model physics and resolution the same as for the real-time forecasts: Yes
If not, what are the differences: NA
Is the ensemble generation the same as for real-time forecasts? Yes, coupled bred vectors
If not, what are the differences: NA
Other relevant informationsinformation:
8. References:
Comprehensive description of the model physics:
Cottrill, A., H. H. Hendon, E.-P. Lim, S. Langford, K. Shelton, A. Charles, D. McClymont, D. Jones, and Y. Kuleshov, 2013: Seasonal Forecasting in the Pacific using the coupled model POAMA-2.Weather and Forecasting. doi.org/10.1175/WAF-D-12-00072.1
Description of the extended range forecasts/ensemble perturbations:
Hudson, D., A. Marshall, Y. Yin, O. Alves, and H. Hendon, 2013: Improving intraseasonal prediction with a new ensemble generation strategy. Monthly Weather Review, 141, 4429-4449, DOI: 10.1175/MWR-D-13-00059.1
Description of Ocean Reanalyses/Assimilation:
Yin, Y., O. Alves, and P. R. Oke, 2011: An ensemble ocean data assimilation system for seasonal prediction. Mon. Wea. Rev., 139, 786-808.
Description of Atmosphere/Land Initialization:
Hudson, D., Alves, O., Hendon, H.H. and Wang, G., 2011: The impact of atmospheric initialisation on seasonal prediction of tropical Pacific SST. Climate Dynamics. 36:1155-1171
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