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Author  |
Murat, M.; Malinowska, I.; Gos, M.; Krzyszczak, J. | ||||
| Title | Forecasting daily meteorological time series using ARIMA and regression models | Type | Journal Article | ||
| Year | 2018 | Publication | International Agrophysics | Abbreviated Journal | Int. Agrophys. |
| Volume | 32 | Issue | 2 | Pages | 253-264 |
| Keywords | regression models; forecast; time series; meteorological quantities; Response Surfaces; Extreme Heat; Wheat; Climate | ||||
| Abstract | The daily air temperature and precipitation time series recorded between January 1, 1980 and December 31, 2010 in four European sites (Jokioinen, Dikopshof, Lleida and Lublin) from different climatic zones were modeled and forecasted. In our forecasting we used the methods of the Box-Jenkins and Holt-Winters seasonal auto regressive integrated moving-average, the autoregressive integrated moving-average with external regressors in the form of Fourier terms and the time series regression, including trend and seasonality components methodology with R software. It was demonstrated that obtained models are able to capture the dynamics of the time series data and to produce sensible forecasts. | ||||
| Address | 2018-06-14 | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | English | Summary Language | Original Title | ||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 0236-8722 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | CropM, ft_macsur | Approved | no | ||
| Call Number | MA @ admin @ | Serial | 5202 | ||
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