An Integrated Assessment of Thermodynamic and Dynamic Linkages Across Land, Atmosphere, and Ocean Systems

This study investigates the interactions between surface atmospheric variables such as temperature, relative humidity, dew point, solar radiation, wind speed, and pressure to understand how thermodynamic and dynamic processes effect local weather conditions. Four diagnostic analyses were performed, viz. (i) the inverse relationship between temperature and relative humidity, (ii) the positive coupling between wind speed and pressure variability, (iii) the association between temperature and dew point during warm and moist conditions, and (iv) the multivariate correlations between all variables. The results show that cooler temperatures correspond to higher relative humidity, while higher temperatures follow with higher dew point values, which indicates improved heat–moisture interaction during warm periods. Wind speed increases with decreasing pressure, reflecting dynamic instability during disturbed weather. The correlation structure reveals two coherent clusters, such as a thermodynamic cluster (temperature, dew point, humidity, solar radiation) and a dynamic cluster (pressure and wind). These findings provide a foundational understanding of weather behavior and offer valuable perceptions for climate modelling, forecasting, and risk assessment.