Ricardo Oses Rodriguez
Climate Department., Provincial Meteorological Center of Villa Clara, Cuba
Publications
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Research Article
Evaluation of the Change in Some Meteorological Variables Measured with the Automatic Station at the Yabu Meteorological Station, Cuba
Author(s): Ricardo Oses Rodriguez* and Nancy Ruiz Cabrera
For this work, the Regressive Objective Regression (ROR) methodology was used to model the three meteorological variables: extreme temperatures, maximum and minimum temperatures, and maximum rainfall within 24 hours. For this purpose, a step variable was designed, which takes a value of zero before the change, that is, before 2023, month 8, day 31, and takes a value of 1 after this date, which corresponds to the new automatic station. It can be seen that the model depends on temperatures and rainfall regressed over 11 years.Specifically, the new station represents a 1.39°C drop in minimum temperature. The trend is positive but very small and highly significant at 100%. For maximum temperature, the trend is positive but very small and highly significant at 100%. Similarly, for minimum temperature, the new station represents a 1.48°C drop. It is further confirmed that with the a.. Read More»

