## 5 Results and Discussion
### Comparative and Qualitative Analysis
The ConvGRU-L\({}_{\rm C}\) model accurately reflects these observations, depicting the intense activity with high fidelity and capturing subtle nuances in scintillation spread. However, it slightly underrepresents scintillation in the periphery compared to the observed data. The ConvGRU-L\({}_{\rm log-cosh}\) model, while identifying the general activity region correctly, fails to delineate the sharp transitions between high and low scintillation zones, presenting a blurred view of the equatorial anomaly. The ConvGRU-L\({}_{\rm S}\) model markedly diverges from the observed conditions, inadequately representing both the intensity and breadth of the ionospheric disturbances. The sunset map shows even lower levels of scintillation than at noon, with very localized areas of disturbance. This decrease aligns with the expected behaviors during a solar minimum, with minimal disruptions as solar radiation wanes. The ConvGRU-L\({}_{\rm C}\) model replicates these observations precisely, accurately depicting the intense scintillation zones and their gradations. The ConvGRU-L\({}_{\rm log-cosh}\) model exhibits a broader dispersion of scintillation, diluting the intensity of peak zones and offering a less localized depiction. Conversely, the ConvGRU-L\({}_{\rm S}\) model significantly underestimates the ionospheric disturbances, with a notable reduction in both intensity and extent. Across all observation times, the ConvGRU-L\({}_{\rm C}\) model consistently provides the most accurate simulations of ionospheric conditions, proving indispensable for detailed monitoring and forecasting. The ConvGRU-L\({}_{\rm log-cosh}\) model, while suitable for broad-trend analyses, lacks the granularity required for precise detection. Conversely, the ConvGRU-L\({}_{\rm S}\) model demonstrates considerable deficiencies, particularly in accurately modeling the complex ionospheric behaviors observed during high-activity periods. The observed S4 map for 31 July 2015 at sunrise shows pronounced ionospheric activity concentrated around the equatorial anomaly, characterized by intense scintillation and vibrant color transitions. This phenomenon is primarily attributed to increased solar radiation at sunrise, which significantly impacts ionospheric dynamics. The ConvGRU-L\({}_{\rm C}\) model demonstrates exceptional predictive accuracy, capturing both the intensity and spatial distribution of the central hotspot, though it slightly overestimates the affected area. Despite this minor discrepancy, the model exhibits strong correspondence with the observed data, highlighting its robust predictive capabilities. Conversely, the ConvGRU-L\({}_{\rm log-cosh}\) model provides a more generalized depiction, capturing the primary activity region but with diffused peak intensities and an expanded affected area. This results in a less precise representation of localized high-intensity zones, potentially leading to overestimations of ionospheric disturbances. The ConvGRU-L\({}_{\rm S}\) model significantly diverges from the observed patterns, underestimating scintillation intensity and inaccurately representing its spatial distribution, with a narrower focus and muted intensity. At solar noon, there was a significant spread of ionospheric activity, with intensity still concentrated around the equatorial anomaly but extending further into the mid-latitudes. This expansion aligned with peak solar irradiation at noon, exacerbating ionospheric responses. The ConvGRU-L\({}_{\text{C}}\) model closely replicates the observed features, accurately capturing the intensity and extent of ionospheric activity, albeit with a slight overestimation to the south. This model effectively models the spatial dynamics and preserves the structural details of ionospheric peaks, making it highly suitable for operational scenarios requiring precision. The ConvGRU-L\({}_{\text{log-cosh}}\) model, while accurately identifying the main region of activity, smooths out sharp intensity transitions, creating a generalized scintillation pattern that lacks the specificity of the observed map.