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Time Series Analysis and Projection of Climate Variables of Piracicaba, SP

Overview: In this task, we used the long timeseries of climatic attributes, from Piracicaba Weather Station. This timeseries data started to be recorded in 1905, gathering more than a century of climate information. The spreadsheet with these data contains attributes such as Temperature (maximum, minimum and average), Air Relative Humidity, Precipitation and Global Radiation.

Questions: Using these climate data, we formulated the following scientific questions: 1-Is Piracicaba climate getting warmer, dryer and more rainless? 2-The tendency of increasing temperatures and decreasing relative humidities and precipitation will continue 100 years ahead?

Procedures Description: Using these climate data, we formulated the following scientific questions: 1-Is Piracicaba climate getting warmer, dryer and more rainless? 2-The tendency of increasing temperatures and decreasing relative humidities and precipitation will continue 100 years ahead?

Outcomes Interpretation: FALAR AQUI DEPOIS.

Raw Data and Code used

Plots Generated

Figure 1. Modelling of Minimum Temperature using 1920-2025 data and its projection to 2120.

Figure 2. Modelling of Average Temperature using 1920-2025 data and its projection to 2120.

Figure 3. Modelling of Maximum Temperature using 1920-2025 data and its projection to 2120.

Figure 4. Modelling of Annual Average Precipitation using 1920-2025 data and its projection to 2120.

Figure 5. Modelling of Air Relative Humidity using 1920-2025 data and its projection to 2120.