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A STUDY OF THE ATMOSPHERIC AIR TEMPERATURE REGIME USING THE AUTOREGRESSION-MOVING AVERAGE MODEL (translation of the original publication in English)
Table 1 - Results of forecasting average atmospheric air temperatures in the retrospective section 2017-2022 according to the ARIMA(2,1,1) model
Date | Actual values | Forecast values | Aabsolute forecast error | ||
with a constant | without a constant | with a constant | without a constant | ||
1 | 2 | 3 | 4 | 5 | 6 |
2017 | 10.43 | 10.91 | 10.74 | 4.60 | 2.97 |
2018 | 11.63 | 11.18 | 11.02 | 3.90 | 5.27 |
2019 | 10.90 | 10.98 | 10.82 | 0.73 | 0.73 |
2020 | 12.67 | 10.98 | 10.79 | 13.32 | 14.82 |
2021 | 10.07 | 11.03 | 10.83 | 9.57 | 7.58 |
2022 | 10.53 | 11.05 | 10.83 | 4.91 | 2.82 |
Mean absolute forecast error | 6.17 | 5.70 |