Classification of Convective Areas Using Decision Trees in: Journal of Atmospheric and
Oceanic Technology Volume 26 Issue 7 (2009) Jump to Content Jump to Main Navigation …

A Method for Identifying Midlatitude Mesoscale Convective Systems in Radar Mosaics. Part I:
Segmentation and Classification in: Journal of Applied Meteorology and Climatology Volume …

An Engineering Research Center for the Collaborative Adaptive Sensing of the Atmosphere
(CASA) was formed in the fall of 2003 by the National Science Foundation to develop a …

Weather radar observations are called to play an important role in offshore wind energy. In
particular, they can enable the monitoring of weather conditions in the vicinity of large-scale …

Using imagery from NOAA's Advanced Very High Resolution Radiometer (AVHRR) orbiting
sensor, one of the authors (RLB) earlier developed a probabilistic neural network cloud …

An automated neural network cloud classifier that functions over both land and ocean
backgrounds is presented. Motivated by the development of a combined visible, infrared …

An automated approach to storm classification that relies on identifying storms from
observed radar data and classifying them based on their shape, radar, and near-storm …

An ability to accurately detect convective regions is essential for initializing models for short-
term precipitation forecasts. Radar data are commonly used to detect convection, but radars …

Abstract Using Advanced Very High Resolution Radiometer data, 16 pixel× 16 pixel sample
areas are classified into one of ten output classes using a probabilistic neural network …

A multilayer perceptron neural network was trained in order to classify shallow and deep
convective airmasses for trial operational use in the GANDOLF thunderstorm flood …