Statistical Analysis of weather variables of Antofagasta
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2019
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| _version_ | 1866909938742198272 |
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| author | Farfan, H. Castillo, A. Curilef, S. |
| author_facet | Farfan, H. Castillo, A. Curilef, S. |
| contents | The statistical behavior of weather variables of Antofagasta is described, especially the daily data of air as temperature, pressure and relative humidity measured at 08:00, 14:00 and 20:00. In this article, we use a time series deseasonalization technique, Q-Q plot, skewness, kurtosis and the Pearson correlation coefficient. We found that the distributions of the records are symmetrical and have positive kurtosis, so they have heavy tails. In addition, the variables are highly autocorrelated, extending up to one year in the case of pressure and temperature. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_1911_04232 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | Statistical Analysis of weather variables of Antofagasta Farfan, H. Castillo, A. Curilef, S. Atmospheric and Oceanic Physics Data Analysis, Statistics and Probability Applications The statistical behavior of weather variables of Antofagasta is described, especially the daily data of air as temperature, pressure and relative humidity measured at 08:00, 14:00 and 20:00. In this article, we use a time series deseasonalization technique, Q-Q plot, skewness, kurtosis and the Pearson correlation coefficient. We found that the distributions of the records are symmetrical and have positive kurtosis, so they have heavy tails. In addition, the variables are highly autocorrelated, extending up to one year in the case of pressure and temperature. |
| title | Statistical Analysis of weather variables of Antofagasta |
| topic | Atmospheric and Oceanic Physics Data Analysis, Statistics and Probability Applications |
| url | https://arxiv.org/abs/1911.04232 |