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Improving Weather Forecasts with AI

I did my physics master’s thesis at Uppsala University in cooperation with the Swedish Meteorological and Hydrological Institute (SMHI). In the thesis I show that neural network based post-processing of meteorological temperature forecasts is a usable method to improve forecast accuracy.

The neural network based method had better performance than the contemporary error-filtering methods used at SMHI. The neural network architecture used was a convolutional neural network followed by fully connected neural network.

The full thesis is available here.

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Master's thesis front page.