## 4 Conclusions
This work is supported by the project Centro-01-0145-FEDER000017-EMaDeS-Energy, Materials, and Sustainable Development, co-funded by the Portugal 2020 Program (PT 2020), within the Regional Operational Program of the Center (CENTRO 2020) and the EU through the European Regional Development Fund (ERDF). Fundacao para a Ciencia e a Tecnologia (FCT--MCTES) also provided financial support via project UIDB/00151/2020 (C-MAST). We would like to express our sincere gratitude for the support provided by AppiZeere and DRAP-Centro with the data from the meteorological stations near Fadagosa. P.D.G. and T.M.L. acknowledge Fundacao para a Ciencia e a Tecnologia (FCT--MCTES) for its financial support via the project UIDB/00151/2020 (C-MAST). The authors declare no conflict of interest. \begin{table}
\begin{tabular}{l c c c c c c c c} \hline \hline \begin{table}
\begin{tabular}{l c c c c c c c c c c c c c c c} \hline
**Variables** & **T\({}_{\text{Min}}\)** & **T\({}_{\text{Avg}}\)** & **T\({}_{\text{Max}}\)** & **HR\({}_{\text{Min}}\)** & **HR\({}_{\text{Avg}}\)** & **HR\({}_{\text{Max}}\)** & **SR\({}_{\text{Avg}}\)** & **WS\({}_{\text{Avg}}\)** & **WS\({}_{\text{Max}}\)** & **Prec** & **ETo** & **SWC1\({}_{1}\)** & **SWC1\({}_{2}\)** & **SWC1\({}_{3}\)** \\ \hline \multicolumn{11}{c}{**Loc. 3**} \\ \hline \(T_{\text{Min}}\) & 1 & 0.94 & 0.86 & \(-\)0.49 & \(-\)0.55 & \(-\)0.52 & \(-\)0.07 & 0.57 & \(-\)0.09 & \(-\)0.08 & 0.73 & \(-\)0.66 & \(-\)0.64 & \(-\)0.50 \\ \(T_{\text{Avg}}\) & 0.94 & 1 & 0.98 & \(-\)0.68 & \(-\)0.70 & \(-\)0.56 & \(-\)0.21 & 0.74 & \(-\)0.18 & \(-\)0.14 & 0.833 & \(-\)0.79 & \(-\)0.74 & \(-\)0.55 \\ \(T_{\text{Max}}\) & 0.86 & 0.98 & 1 & \(-\)0.77 & \(-\)0.75 & \(-\)0.56 & \(-\)0.28 & 0.79 & \(-\)0.22 & \(-\)0.18 & 0.84 & \(-\)0.82 & \(-\)0.77 & \(-\)0.55 \\ \(HR_{\text{Min}}\) & \(-\)0.49 & \(-\)0.68 & \(-\)0.77 & 1 & 0.93 & 0.68 & 0.49 & \(-\)0.81 & \(-\)0.05 & \(-\)0.04 & \(-\)0.77 & 0.77 & 0.68 & 0.42 \\ \(HR_{avg}\) & \(-\)0.55 & \(-\)0.70 & \(-\)0.75 & 0.93 & 1 & 0.87 & 0.44 & \(-\)0.76 & \(-\)0.17 & \(-\)0.12 & \(-\)0.80 & 0.77 & 0.66 & 0.40 \\ \(HR_{Max}\) & \(-\)0.52 & \(-\)0.56 & 0.68 & 0.87 & 1 & 0.28 & \(-\)0.51 & \(-\)0.28 & \(-\)0.17 & \(-\)0.67 & 0.59 & 7.04 & 0.31 \\ \(SR_{avg}\) & 0.57 & 0.74 & 0.79 & \(-\)0.81 & \(-\)0.76 & \(-\)0.51 & \(-\)0.40 & 1 & 0.02 & 0.03 & 0.86 & \(-\)0.70 & \(-\)0.60 & \(-\)0.30 \\ \(WS_{avg}\) & \(-\)0.09 & \(-\)0.18 & \(-\)0.22 & \(-\)0.05 & \(-\)0.17 & \(-\)0.28 & 0.05 & 0.02 & 1 & 0.85 & 0.121 & 0.11 & 0.13 & 0.18 \\ \(WS_{Max}\) & \(-\)0.08 & \(-\)0.14 & \(-\)0.18 & \(-\)0.04 & \(-\)0.12 & \(-\)0.17 & 0.12 & 0.03 & 0.85 & 1 & 0.118 & 0.08 & 0.09 & 0.12 \\ Pre & \(-\)0.07 & \(-\)0.21 & \(-\)0.28 & 0.49 & 0.44 & 0.28 & 1 & \(-\)0.40 & 0.05 & 0.12 & \(-\)0.284 & 0.35 & 0.25 & 0.09 \\ ETo & 0.73 & 0.833 & 0.84 & \(-\)0.77 & \(-\)0.80 & \(-\)0.67 & 0.86 & 0.121 & 0.118 & \(-\)0.284 & 1 & \(-\)0.79 & \(-\)0.70 & -0.40 \\ \(SWC1_{1}\) & \(-\)0.66 & \(-\)0.79 & \(-\)0.82 & 0.77 & 0.77 & 0.59 & 0.35 & \(-\)0.70 & 0.11 & 0.08 & \(-\)0.79 & 1 & 0.95 & 0.68 \\ \(SWC1_{2}\) & \(-\)0.64 & \(-\)0.74 & \(-\)0.77 & 0.68 & 0.66 & 0.49 & 0.25 & \(-\)0.60 & 0.13 & 0.09 & \(-\)0.70 & 0.95 & 1 & 0.79 \\ \(SWC1_{3}\) & \(-\)0.50 & \(-\)0.55 & \(-\)0.55 & 0.42 & 0.40 & 0.31 & 0.09 & \(-\)0.30 & 0.18 & 0.12 & \(-\)0.40 & 0.68 & 0.79 & 1 \\ \(SWC1_{4}\) & 0.03 & 0.04 & 0.03 & \(-\)0.05 & \(-\)0.05 & \(-\)0.03 & \(-\)0.02 & 0.23 & 0.10 & 0.06 & 0.154 & 0.06 & 0.15 & 0.431 \\ \hline \end{tabular}
\end{table} 
Table 11: Collinear coefficient between parameters in dataset (Loc. 3).