Weather-Predictions

A synoptic-climatology approach to increase the skill of numerical weather predictions over Iran

Simplifications used in regional climate models decrease the accuracy of the regional climate models. To overcome this deficiency, usually a statistical technique of MOS is used to improve the skill of gridded outputs of the Numerical Weather Prediction (NWP) models. In this paper, an experimental synoptic-climatology based method has been used to calibrate, and decrease amount of errors in GFS...

REFORECASTS An Important Dataset for Improving Weather Predictions

Environmental Prediction (NCEP)–National Center for Atmospheric Research (NCAR) reanalysis (Kalnay et al. 1996) and the European Centre for Medium-Range Weather Forecasts (ECMWF) 40-year reanalysis (ERA-40; Uppala et al. 2005) have become heavily used products for geophysical science research. These reanalyses run a practical, consistent data assimilation and short-range forecast system over a ...

Towards Improving Numerical Weather Predictions by Evolutionary Computing Techniques

Weather forecasting is complex and not always accurate, moreover, it is generally defined by its very nature as a process that has to deal with uncertainties. In a previous work, a new weather prediction scheme was presented, which uses evolutionary computing methods, particularly, Genetic Algorithms in order to find the most timely ‘optimal’ values of model closure parameters that appear in ph...

New weather forecast system makes predictions faster and more accurate

Visualization of Neural Network Predictions for Weather Forecasting

Recurrent neural networks are prime candidates for learning relationships and evolutions in multi-dimensional time series data. The performance of such a network is judged by the loss function, which is aggregated into a single scalar value that decreases during successful training. Observing only this number hides the variation that occurs within the typically large training and testing data s...