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Urban areas experience significant alterations in their local surface energy balance due to changes in the thermal properties of impervious surfaces, albedo, land use, and land cover. In addition, the embedded influence of urbanization and heat-trapping in the urban canopy cause city temperature warmer compared to its surroundings peri-urban regions. However, the influence of urbanization on winter surface temperatures remains unclear. In this study, the urbanization influence on winter surface temperature in Bhubaneswar, a tropical two-tier city in India, is assessed using a high-resolution (4 km × 4 km) urban canopy model coupled with the Weather Research and Forecasting model. Numerical experiments are conducted with no urban coupling (CTL) and with coupling of a single-layer urban canopy model (UCM) for the winters of 2004 and 2015. The study suggests that both model simulations exhibit a similar warm bias in mean surface temperature (~ 2.2 °C), but UCM’s surface temperature better agrees with the observations compared to CTL. The warm bias in both experiments is primarily contributed by a higher nighttime warm bias (~ 3.2 °C). The study reveals that urbanization contributes to ~ 0.4 °C increase in surface temperature in 2015, especially in the eastern lowland regions of the city, while the impact is minimal in 2004. In the western region, the influence is nullified, possibly due to lower surface specific humidity affecting longwave radiation in a higher terrain setting. This study underscores the significance of terrain and local microclimate conditions in shaping winter urban surface temperatures, shedding light on the complex interplay between urbanization and climate.

One of the important consequences of changing climate is the increase in temperature extremes and heat stress over many regions of the world. Understanding the various factors that modulate these events on different time scales is of utmost importance due to their great societal relevance. For example, understanding and prediction on sub‐seasonal time scales is crucial for reducing losses due to extremes and diligent management of limited resources. In this study, the effect of tropical intraseasonal oscillations like convectively coupled equatorial waves (CCEWs) such as equatorial Rossby wave (ER), Kelvin wave, mixed Rossby gravity waves and the Madden and Julian Oscillations (MJO) in modulating heatwaves occurrence over India is explored. We find that these oscillations significantly modulate extreme heat events. The extent of the modulation is also found to be highly dependent on the location, type and phase of these waves. The maximum effect is observed in case of ER with positive phase (defined as high outgoing longwave radiation phase) enhancing the frequency of the events by almost twice the normal values, and supporting long duration and more intense heatwaves while the opposite phase totally suppresses the heatwave events. The effect of MJO is region dependent with positive (negative) phase increasing (decreasing) the heatwave frequency over South and Eastern (North‐western) parts of the country. Kelvin and MT waves are also found to have lesser but significant effect on heatwaves, and mostly reduces the occurrence of heatwaves. Overall, the study shoes that the ER wave has the most significant effect on the frequency and duration of heatwaves over the study region. [ABSTRACT FROM AUTHOR]