Rock slopes are dynamic geomorphic systems whose stability is influenced by an interplay between geological structures and environmental forcing. Among these, meteorological variables, particularly temperature and precipitation, are recognised as key drivers of both long-term slope evolution and short to medium-term joint deformation expressed through diurnal and annual displacement cycles. However, their influence on block scale displacement remains poorly explored.</p> <p>This study investigates meteorologically driven rock slope surficial dynamics using high-resolution crack meter measurements of blocks ranging in volume from 0.3 to 150 m<sup>3</sup> and environmental monitoring data collected from four instrumented sites in Czechia, Central Europe. Each site comprises unique geological and morphological conditions and is equipped with joint displacement sensors, a weather station, and an in-depth thermal probe. A total of twelve representative rock blocks were monitored across the sites, capturing both thermally driven and potentially gravitationally induced displacements.</p> <p>We analysed multi-year time series data (≥2 years) to assess the relationships between joint movements and meteorological variables, including air temperature, in-depth rock temperature up to 3 m and rainfall. Statistical observations revealed distinct seasonal and diurnal cycles in joint dilation linked to thermal forcing. Moreover, several blocks exhibited signs of compound kinematics, with joint displacements influenced by thermal cycles, rainfall and irreversible gravitational destabilisation trends.</p> <p>This study provides new insights into the temporal dynamics of rock slope instability in temperate climates. The observed thermal sensitivity highlights the importance of temperature variations in driving short-term reversible joint deformation and potentially contributing to progressive rock-slope destabilization. This study demonstrates the value of long-term, high-frequency monitoring for quantifying weather–rock mass interactions and supports the integration of kinematical interpretations into future monitoring system designs.