Turbulence parameterizations for convective boundary layer in coarse-scale atmospheric models usually consider a combination of the eddy-diffusive transport and a non-local transport, typically in the form of a mass flux ...

Abstract: We apply a multilayer perceptron machine learning (ML) regression approach to infer electromagnetic (EM) duct heights within the marine atmospheric boundary layer (MABL) using sparsely sampled EM propagation data ...

The number of applications for ALB data has grown exponentially since the first systems became operational in the late 1980's and early 1990's. In those early days, the primary application was nautical charting. Since then, ...

This chapter details the various data processing steps used to retrieve useful data from the lidar waveform (other than depth of an individual pulse). The introductory section describes the sequence of coordinate transformations ...