Dr. Lima studied the application of machine learning algorithms in environmental sciences. He used artificial neural networks to forecast streamflow, precipitation, and surface air temperature. His research advances the use of model output statistics and extends predictions to variables not computed by the current numerical weather prediction model.

A randomly-selected Doctoral citation each day: today from the Doctor of Philosophy in Atmospheric Science (PhD) - graduated in 2016