Modeling the historical temperature in the province of laguna using ornstein-uhlenbeck process

Abstract

The behavior of temperature is one of the major factors in the study of climate change which has already invited a lot of researchers and policymakers. Studies in this area help in deciding the best adaptation and mitigation strategy. However, there are little studies on the progression of climate change in a local setting, such as in a municipal or provincial level. This study explored to model, using regression, the daily temperature in the province of Laguna, Philippines. The daily maximum and minimum temperature from 1960 to 2018 were modeled using the Ornstein- Uhlenbeck (OU) process with additive seasonality. The model showed that the province saw an increase of 1:16°C (resp. 0:55deg;C) in the mean daily minimum (resp. maximum) temperature from 1960 to 2018. It was also found that the minimum temperature showed a consistent increase than the maximum temperature, which poses threats to agricultural activities. Consistent with other international predictions, there was a 0:02 deg;C annual increase in 1960 to a 0:05 deg;C annual increase in 2010. The proposed model can be used by policymakers in designing and creating adaptive measures that would be more effective to the province of Laguna.