Observations and climate models consistently indicate that, during the past decades in the tropics and subtropics, land surfaces at higher altitudes have been warming faster than lower-elevated ones, a phenomenon denoted as elevation-dependent warming (EDW). In this study, Byrne and co-authors quantify the magnitude of this effect, attribute it to greenhouse gas forcing, and provide a very thorough and comprehensive analysis of the underlying mechanisms. They identify Planck and surface albedo feedback as well as atmospheric energy transport as most important drivers of EDW, while water vapor and cloud feedback oppose EDW. In this way, the authors substantially improve our understanding of a fundamental aspect of current climate warming.

High-impact medicanes, like Ianos September 2020, are occasionally poorly predicted by operational numerical weather prediction models, and it is therefore very important to understand the factors that limit their predictability and to eventually improve predictions. The well-written study by Pantillon et al. investigates simulations of medicane Ianos performed with 10 model setups, using different models, horizontal grid spacings, and representations of moist convection. Their results highlight the critical importance of a high-resolution representation of moist convection, and the coupling of convective and baroclinic processes in the cyclogenesis phase of the medicane. These results from the major modelling undertaking in this study have important ramifications also for practical forecasting.