Carlos F. M. Coimbra, Ph.D.
Mechanical and Aerospace Engineering, Jacobs School of Engineering and Center for Renewable Resource Integration/Center for Energy Research
University of California, San Diego
La Jolla, CA 92093-0411
Our research interests cover many different areas, including: Energy Meteorology; Atmospheric Radiation; Cloud Physics; Fluid Mechanics, Heat and Mass Transfer; Pattern Recognition; Machine Learning Methods; Variable Order Methods; Nonlinear Chaos Dynamics; Optimization Methods, and Image Processing. We have developed efficient solar forecast engines that employ a hybrid mix of physical models and data science techniques to predict shortwave solar irradiance at high spatial and temporal resolutions, from intra-minute to multiple days ahead forecasts, and from single point radiometers to continental regions.