Predictive accuracies ranging from 89.4 % to as high as 99.1 % show that trained deep learning neural networks (DNNs) can
identify weather fronts, tropical cyclones, and long narrow air flows that transport water vapor from the tropics called atmospheric rivers.
Not exact matches
In 2016, researchers reported the first use of a deep - learning system to
identify tropical cyclones, atmospheric rivers and
weather fronts: loosely defined features whose identification depends on expert judgement.
Students
identify fronts,
weather patterns, and air masses in this fun, individual or group, PowerPoint game!
The ITCZ was originally
identified from the 1920s to the 1940s as the «Intertropical
Front» («ITF»), but after the recognition in the 1940s and 1950s of the significance of wind field convergence in tropical
weather production, the term ITCZ was then applied.