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An approach to improving the dynamical extended-range(monthly) prediction
An approach to improving the dynamical extended—range(monthly) prediction

Chen Bomin,Ji Liren,Yang Peicai,ZHANG Daomin,WANG Geli,

科学通报(英文版) , 2003,
Abstract: Focusing on common and significant forecast errorsthe zonal mean errors in the numerical prediction model, this report proposes an approach to improving the dynamical extended-range (monthly) prediction. Firstly, the monthly pentad-mean nonlinear dynamical regional predic-tion model of the zonal-mean height based on a large num-ber of historical data is constituted by employing the recon-struction phase space theory and the spatio-temporal series predictive method. The zonal height thus produced is trans-formed to its counterpart in the numerical model and fur-ther used to revise the numerical model prediction during the integration process. In this way, the two different kinds of prediction are combined. The forecasting experimenal results show that the above hybrid approach not only re-duces the systematical error of the numerical model, but also improves the forecast of the non-axisymmetric components due to the wave-flow interaction.
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