The air temperature is one of the most frequently measured meteorological parameters. Air temperature forecasting is a crucial climatic factor-related task required in many different applications in areas such as agriculture, industry, energy, the environment, and tourism (Abdel-Aal, 2004;Cifuentes et al., 2020). Certain applications include short-term load forecasting for power utilities (Li et al., 2016), protection against freezing injury of various fruits (Chung et al., 2006), adaptive temperature control in greenhouses (Dombaycı & Gölcü, 2009), prediction of cooling and energy consumption in residential buildings (Ben-Nakhi & Mahmoud, 2004), and establishment of a planning horizon for infrastructure upgrades, insurance, energy policy, and business development purposes (Smith et al., 2007). Therefore, accurate forecasting of the air temperature with high spatiotemporal resolution has always been an important goal for meteorologists and weather forecasters.Mountainous areas also represent important areas of human activities, such as fruit cultivation, tourism, and skiing in the winter season. Therefore, hourly air temperature forecasting and high-resolution prediction in mountainous areas is necessary and important for human activities. In contrast to plain areas, the topography of a mountainous area is very complex, which can cause the air temperature to vary within small terrain units. For example, in a 1-km grid, the difference in altitude between the slope top and foot can reach as much as 500 m, and the temperature difference as high as 3°C, assuming that the slope of the grid is 0.5. It is a difficult task for air temperature forecasting and modeling in complex geographical zones because the temperature is influenced by several nonlinear processes, such as the interaction between large-scale air mass circulation and local airflow, airflow-topography interactions, and the interplay between radiation and topographic shading.Currently, many numerical weather prediction (NWP) models are available for air temperature prediction, for example, the European Centre for Medium-Range Weather Forecasts (ECMWF) model, the fifth-generation mesoscale model (MM5), and the Weather Research and Forecasting (WRF) model. All these NWP models allow day-ahead air temperature prediction, which is usually adopted in practice. However, uncertainties in model