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gaps in data are filled in using spatial mapping involving observations at nearby locations, while relatively smaller gaps are accounted for by the statistical technique of multiple regressions in temporal mode.It is found that by doing so the long-interval forecasting is tremendously improved, with corresponding accuracy levels becoming close to those of the short-interval forecasts.If the amount of gaps is restricted to around per year or so it is possible to obtain h ahead forecasts with.m accuracy on an average and h ahead forecast with a mean accuracy of.m.However, in
observations, artificial, significant, appropriate, considerable trialsfurther, informationlarger, statistical technique, regressions, long-interval forecasting, forecasting corresponding, corresponding accuracy, short-interval,
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