Temperature fluctuations have profound impacts on both human society and the natural environment. However, the diversity of geographical temperature data and the non-linearity and complexity of meteorological phenomena present significant challenges to accurate prediction. Previous studies in temperature prediction have faced certain limitations, such as inadequate consideration of correlations between multiple meteorological factors in some models or limited modeling capability for non-linear and spatiotemporal relationships. To address these shortcomings, we propose a hybrid model based on C...
