Long-term trend of surface relative humidity in Hungary

Abstract The long-term trends of relative humidity and its relationship with the change temperature are some unsolved problems climate research. In this paper, results analysis changes (1961–2020) in Hungary presented. Homogenized station data series were used to perform analyses. While warming was significant each season, a reduction observed only spring summer. seasonal variability dependence on indicates that directly impacts summer, enhancement evaporation due increase may mitigate impact other seasons. datasets study daily variation trend humidity. Significant found at noon except for autumn. However, more scattered during night, depending season and/or geographical location station. between surface by radio sounding (00 UTC 12 time period 2007–2018) studied predict lower, 100-m deep layer planetary boundary from suggest prediction can be reasonable if daytime considered.