Guides & Case Studies

Analyzing and interpreting spatial information.

Multivariate Adaptive Constructed Analogs(MACA) Downscaling Method

Statistical Downscaling

Climate scenarios from global climate models (GCM) provide the primary scientific basis for our understanding of future climates. However, output data from GCMs are at coarse scales (i.e. 100-300 km) resulting in significant biases in regions of complex climate such as the Northwestern US making direct application of such data intractable. To overcome these limitations, GCM output must be translated (or downscaled) to local scales for modeling and value-added decision-making.

MACA Statistical Downscaling

The Multivariate Adaptive Constructed Analogs (MACA) (Abatzoglou, Brown, 2012;...