Expansion of wind energy installed capacity is poised to play a key role in climate change
mitigation. However, wind energy is also susceptible to global climate change. Some …

The increasing size of wind turbines, with rotors already spanning more than 150 m
diameter and hub heights above 100 m, requires proper modeling of the atmospheric …

Tropospheric trace gas and aerosol pollutants have adverse effects on health, environment
and climate. In order to quantify and mitigate such effects, a wide range of processes leading …

A statistical method is developed to generate local cumulative distribution functions (CDFs)
of surface climate variables from large‐scale fields. Contrary to most downscaling methods …

A comprehensive intercomparison of historical wind speed trends over the contiguous
United States is presented based on two observational data sets, four reanalysis data sets …

Empirical-statistical downscaling (ESD) is a method for estimating how local climatic
variables are affected by large-scale climatic conditions. ESD has been applied to local …

We review work on extreme events, their causes and consequences, by a group of
European and American researchers involved in a three-year project on these topics. The …

We analyze the applicability of convolutional neural network (CNN) architectures for
downscaling of short‐range forecasts of near‐surface winds on extended spatial domains …

The impact of climate change on wind power generation potentials over Europe is
investigated by considering ensemble projections from two regional climate models (RCMs) …

Using statistically downscaled output from four general circulation models (GCMs), we have
investigated scenarios of climate change impacts on wind power generation potential in a …