Objectives As China’s political center and the economic hub of the north, the Beijing-Tianjin-Hebei (BTH) region features a dense population and a complex industrial structure. Driven by global warming, summer extreme humid-heat events in this region have become increasingly frequent. These events severely disrupt daily life and economic activity, raising significant public concern. Data and Methods This study evaluates the ability of various datasets to capture the fine spatiotemporal characteristics of daytime and nighttime extreme humid-heat events. The analysis utilizes data from 2016 to 2023 derived from national meteorological stations, regional automatic weather stations, and the China Meteorological Administration Land Data Assimilation System (CLDAS).

Results The results show high consistency across the three datasets regarding the annual climatic cycles of temperature and relative humidity, confirming the general reliability of this data for the region. However, discrepancies exist regarding the frequency, intensity, and intraseasonal probability of extreme humid-heat events.

Conclusions  Further analysis reveals that these differences are closely linked to underlying terrain and surface features. For daytime events, regional stations in urban and plain areas record notably higher frequencies and intensities than both national stations and CLDAS, whereas the differences remain minor in mountainous regions. For nighttime events, discrepancies among the datasets are more prominent in urban and mountainous areas (with CLDAS exhibiting the most significant underestimation), whereas data consistency in plain areas is relatively better. Given that most national stations are located in urban areas, these discrepancies indirectly reflect the climatic impact of urbanization on regional extreme humid-heat events.