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20192024
most citedCharacterizing Evaporation Ducts Within the Marine Atmospheric Boundary Layer Using Artificial Neural Networks

16 citations · 42 across the 4 of their papers we have counts for

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physics.ao-ph2019★ 13 cited

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★ 16 cited

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…