Data-driven models for atmospheric air temperature forecasting at a continental climate region

season. According to the Fig 7, the RF and SVR model provided the least amount of prediction error for almost all months, followed by the GBR model. It can be observed that the highest forecasted error is observed in January, February and December. Two reasons may efficiently explain this problem. The first reason may be associated with variability of temperature in the Fig 6. Percentage of data length used in this study. https://doi.org/10.1371/journal.pone.0277079.g006 Fig 7. The performance of proposed models in predicting the air temperature for each month. https://doi.org/10.1371/journal.pone.0277079.g007 PLOS ONE Air temperature forecasting: Mutli-time scale PLOS ONE | https://doi.org/10.1371/journal.pone.0277079 November 3, 2022 19 / 31