Sentence examples for monthly rainfall forecasting from inspiring English sources

The results show that the HWNN model improves the monthly rainfall forecasting accuracy over Australia in comparison to the reference models, and the improvement is more significant for the inland stations in southeast Australia and stations in west Australia.

Research findings of this study indicate that GP-derived monthly rainfall forecasting models, that use large-scale atmospheric circulation information are successful in prediction of All India Summer Monsoon Rainfall with correlation coefficient as good as 0.866, which may appears attractive for such a complex system.

Finally, the monthly rainfall forecast is achieved by summing all the predicted anomaly subseries and applying the inverse transform of standardized monthly rainfall.

In this study, we take a first step towards a monthly streamflow modelling approach by harnessing a coupled ocean atmosphere general circulation model (CGCM) to produce monthly rainfall forecasts for three catchments across Australia.

In this paper, a hybrid wavelet neural network (HWNN) model is developed for effectively forecasting monthly rainfall from antecedent monthly rainfall and climate indices by incorporating the multiresolution analysis (MRA), mutual information (MI) and particle swarm optimization (PSO) into artificial neural network (ANN) models.

In addition, zero forecasts assuming no rainfall in the coming days, and monthly average forecasts assuming average monthly rainfall in the coming days, were used.

The center is forecasting an additional three inches of rain to fall in this region through May 31, which could push Oklahoma City's monthly rainfall total past 20 inches.

The average monthly rainfall for the area is 61mm.

Annual and monthly rainfall was homogenous between 1965 and 2000.

This study develops and applies a novel classification-forecasting model, namely Binary GP (BGP), for teleconnection studies between sea surface temperature (SST) variations and maximum monthly rainfall (MMR) events.

The distribution from all 4200 modelled January monthly rainfall totals is shown in Fig. 1b alongside the observed January rainfall.