Dynamical and statistical downscaling of multidecadal global climate models provides finer
spatial resolution information for climate impact assessments [Wilby and Fowler, 2010] …

Downscaling, or translation across scales, is a term adopted in recent years to describe a set
of techniques that relate local-and regional-scale climate variables to the larger scale …

Increasingly reliable regional climate change projections are now available for many
regions of the world due to advances in modelling and understanding of the physical …

Downscaling is a term that has been used to describe the range of methods that are used to
infer regional‐scale or local‐scale climate information from coarsely resolved climate …

An important challenge in current climate modeling is to realistically describe small-scale
weather statistics, such as topographic precipitation and coastal wind patterns, or regional …

Dynamical downscaling is a crucial process for providing regional climate information for
broad uses, using coarser-resolution global models to drive higher-resolution regional …

A novel climate downscaling methodology that attempts to correct climate simulation biases
is proposed. By combining an advanced statistical bias correction method with a dynamical …

Regional climate models (RCMs) have been developed and extensively applied for
dynamically downscaling coarse resolution information from different sources, such as …

Downscaling is a widely used technique for translating information from large-scale climate
models to the spatial and temporal scales needed to assess local and regional climate …

The traditional dynamical downscaling (TDD) method employs continuous integration of
regional climate models (RCM) with the general circulation model (GCM) providing the initial …