2 papers
physics.ao-ph2019
Gaussian Process Regression for Estimating EM Ducting Within the Marine Atmospheric Boundary Layer
Hilarie Sit, Christopher J. Earls
We show that Gaussian process regression (GPR) can be used to infer the electromagnetic (EM) duct height within the marine atmospheric boundary layer (MABL) from sparsely sampled p…
physics.ao-ph2019
Characterizing Evaporation Ducts Within the Marine Atmospheric Boundary Layer Using Artificial Neural Networks
Hilarie Sit, Christopher J. Earls
We apply a multilayer perceptron machine learning (ML) regression approach to infer electromagnetic (EM) duct heights within the marine atmospheric boundary layer (MABL) using spar…