Názov:Temperature correction in meteorological forecasts
Vedúci:doc. RNDr. Robert Luko»ka PhD.
Kµúčové slová:temperature forecasting, linear regression, rolling window
Abstrakt:This thesis deals with improving temperature forecasts created by meteorological model Aladin, that is used by Slovak Hydrometeorological Institute. The goal is to further improve results achieved in the diploma thesis written by Michal Hajdin in 2016 and experiment with models which include their previous errors as new features. We present analysis of data we worked with, new approaches that further improved the results, and the results reached after experimenting with various learning algorithms and using previous error terms. Finally, we present improvement obtained for all the meteoro- logical stations, whose data were available for our thesis. Our final model decreased absolute error of Aladin predictions from 18.95% up to 73.61%.

Súbory diplomovej práce: