## 3 Results and Discussion  
### Assessment of Satellite Rainfall Data  
Figure 3 and Table 5 present the relationship between the rain gauge data and the CHIRPS rainfall estimates. The correlation coefficients (\(r\)), ranging from 0.65 to 0.9, indicate a strong correlation between the observed precipitation and the CHIRPS estimates. Twelve stations showed \(r\) > 0.7, suggesting a strong positive correlation, while six stations had 0.65 \(\leq r\leq\) 0.69, indicating a moderately strong positive correlation. Additionally, all the stations had \(p\)-values below 0.05, confirming that the correlations are statistically significant. \begin{table}
\begin{tabular}{c c} \hline
**SYRS Values** & **SYRS Classification** \\ \hline \(>\)1.50 & High yield increment \\
1.00 to 1.49 & Moderate yield increment \\
0.51 to 0.99 & Low yield increment \\
0.50 to \(-\)0.50 & Normal \\ \(-\)0.51 to \(-\)0.99 & Low yield losses \\ \(-\)1.00 to \(-\)1.49 & Moderate yield losses \\ \(\sphericalangle\)\(-\)1.50 & High yield losses \\ \hline \end{tabular}
\end{table} 
Table 4: Classification of SYRS values [5]. \begin{table}
\begin{tabular}{c c c c c c c} \hline
**N\({}^{\circ}\)** & **Stations** & **BIAS** & \(r\) & **RMSE** & **MAE** & \(R^{2}\) & \(p\)**-Values** \\ \hline
1 & Abadla & \(-\)5.90 & 0.77 & 14.90 & 10.97 & 0.59 & \(9.25\times 10^{-91}\) \\
2 & Adamna & 4.95 & 0.86 & 27.11 & 14.13 & 0.73 & \(1.18\times 10^{-13}\) \\
3 & Aghbalou & 0.89 & 0.68 & 35.20 & 24.27 & 0.46 & \(1.29\times 10^{-63}\) \\
4 & Benguerir & \(-\)0.37 & 0.74 & 16.07 & 10.34 & 0.55 & \(2.37\times 10^{-70}\) \\
5 & [PERSON] & \(-\)5.15 & 0.86 & 14.33 & 9.93 & 0.74 & \(1.08\times 10^{-89}\) \\
6 & [PERSON] & 1.75 & 0.77 & 14.62 & 8.46 & 0.59 & \(4.63\times 10^{-90}\) \\
7 & Dyke of Safi & 6.64 & 0.90 & 26.35 & 13.41 & 0.82 & \(7.77\times 10^{-17}\) \\
8 & Elmassira Dam & \(-\)8.58 & 0.84 & 16.21 & 11.57 & 0.70 & \(4.02\times 10^{-10}\) \\
9 & [PERSON] & 3.68 & 0.67 & 24.78 & 16.20 & 0.45 & \(9.17\times 10^{-47}\) \\
10 & Imin-Elhammam & \(-\)12.64 & 0.69 & 32.73 & 22.14 & 0.48 & \(1.81\times 10^{-66}\) \\ \hline \end{tabular}
\end{table} 
Table 5: Monthly comparison between CHIRPS and rain gauge data. The R\({}^{2}\) values range from 0.42 to 0.82, reflecting a moderate-to-good correlation between the CHIRPS estimates and the observed precipitation. These results suggest that the CHIRPS explains 42-82% of the observed variability, demonstrating reasonable predictive accuracy. However, from 18% to 58% of variability remains unexplained, possibly due to unaccounted environmental factors or measurement errors. Notably, Haouz Plain (represented by the Abadla, Chichaoua, Marrakech, and Sidi Rahal stations), Rehamna Plain (Benguerir and Bouchane stations), the Rehamna Plateaus (El Massira Dam and Skhor Rehamna stations), the coastal zone (Dyke of Safi), and Essaouira-Chichaoua Basin (Adamna and Talmest stations) exhibited a good CHIRPS performance. In contrast, the High Atlas foothills (represented by the Aghbalou, Iloudjane, Imin-Elhammam, Sidi Bouchman, Taferiat, and Tahanout stations) and the mountainous regions (Nkouris) showed relatively a poorer performance (Figure 3 and Table 5). Distinct altitudinal trends were observed in the BIAS values. The stations in the Haouz Plain (except Abadla, with BIAS = \(-5.90\)) had positive BIAS values, indicating that the CHIRPS overestimated rainfall. Conversely, the stations in Rehamna Plain, the Rehamna Plateaus, the mountainous regions, and the High Atlas foothills (except Aghbalou, Iloudjane, and Taferiat) showed negative BIAS values, indicating underestimation. Most stations in the coastal zone (BIAS = 6.64) and Essaouira-Chichaoua Basin (except Talmest, with BIAS = \(-2.08\)) had high positive BIAS values (Figure 3 and Table 5). The RMSE and MAE values were generally higher for the stations in the mountainous regions and the High Atlas foothill, such as Nkouris (RMSE = 47.49 mm/month and MAE = 32.56 mm/month), compared to those in the plains (Figure 3 and Table 5).