Urbanization exacerbates continental-to regional-scale warming. The study, conducted by TC Chakraborty and Yun Qian, demonstrates that urban areas have become more detectable in large-scale warming signals, particularly in rapidly urbanizing regions and countries in Asia. Between 1992 and 2019, global urban area increased by approximately 226%, with the highest increases in Asia (312%) and Africa (251%). The urban influence on continental- to regional-scale land surface temperature (LST) has become significant, with the strongest trends observed in North America during the day and in Asia at night. The urban LST signal is 0.005 K per decade during the day and 0.006 K per decade at night. While the global fractional urban contribution to LST trends is small (0.013% for daytime and 0.011% for nighttime), it is non-negligible. The study also estimates these urban warming signals under different socioeconomic pathways (SSPs) and finds that urbanization should be explicitly included in future climate change assessments. This requires incorporating dynamic urban extent and biophysical changes into Earth system models to better understand the potential feedbacks on the climate system.Urbanization exacerbates continental-to regional-scale warming. The study, conducted by TC Chakraborty and Yun Qian, demonstrates that urban areas have become more detectable in large-scale warming signals, particularly in rapidly urbanizing regions and countries in Asia. Between 1992 and 2019, global urban area increased by approximately 226%, with the highest increases in Asia (312%) and Africa (251%). The urban influence on continental- to regional-scale land surface temperature (LST) has become significant, with the strongest trends observed in North America during the day and in Asia at night. The urban LST signal is 0.005 K per decade during the day and 0.006 K per decade at night. While the global fractional urban contribution to LST trends is small (0.013% for daytime and 0.011% for nighttime), it is non-negligible. The study also estimates these urban warming signals under different socioeconomic pathways (SSPs) and finds that urbanization should be explicitly included in future climate change assessments. This requires incorporating dynamic urban extent and biophysical changes into Earth system models to better understand the potential feedbacks on the climate system.