The climate change scenarios, especially global warming, have raised significant concerns, and the Himalayan regions such as Uttarakhand are highly vulnerable to climatic shifts. Considering 10 Coordinated Regional Climate Downscaling Experiments in South Asia (CORDEX-SA), experiments with 3 regional models (RCMs), driven by 13 models, historical estimates future projections analyzed from mid-c...

Abstract High spatio‐temporal resolution near‐surface projected data is vital for climate change impact studies and adaptation. We derived the highest statistically downscaled multivariate ensemble currently available: daily 1 km until end of century. Deep learning models were employed to develop transfer functions precipitation, water vapor pressure, radiation, wind speed, and, maximum, mean m...

Climate change is undeniable, and its effects, like droughts intense precipitation, evidence this reality. However, many questions remain unanswered, such as climate extremes’ future frequency intensity. International collaboration projects the Coordinated Regional Downscaling Experiment (CORDEX)-Coordinated Output for Evaluations (CORE) have emerged to address these questions, creating protoco...

Climate change adaptation planning at the municipal level has become mandatory due to increasing frequency of extreme weather and climate events. The availability near-future data is first step towards creating an plan for a city. We created CP_OdU (Climate Projections Odesa, Ukraine) dataset, which contains daily output variables from 102 model runs monthly (yearly) indices calculated 2021–205...