Search

MACA Downscaled Future Climate Projections from CMIP5 The Multivariate Adaptive Constructed Analogs (MACA) is a statistical method for downscaling Global Climate Models (GCMs) from their native coarse resolution to a higher spatial resolution. This has been used to produce two different downscaled...

Dr. Katherine Hegewisch is a project scientist in the Sierra Nevada Research Institute at the University of California Merced. She earned a Ph.D. in Physics from Washington State University in 2010 and also has degrees in Applied Mathematics and Statistics. Since 2011, she has been working with...

I am currently a web developer for Climate Engine. Climate Engine is a web tool for visualizing large climate and remote sensing datasets through summaries processed on-the-fly and shown on maps and graphs.