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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...

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...

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.