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

Fig 13. a) Boxplot of the forecasting error in weekly temperature prediction for all proposed models. b) Quantile percent of the forecasting error. https://doi.org/10.1371/journal.pone.0277079.g013 Fig 14. Daily residual: testing phase. a) GBR-M6, b) RT-M5. c)SVR-M5. d)QRT-M9. e) RF-M1. https://doi.org/10.1371/journal.pone.0277079.g014 PLOS ONE Air temperature forecasting: Mutli-time scale PLOS ONE | https://doi.org/10.1371/journal.pone.0277079 November 3, 2022 26 / 31