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RISMachine Learning for Real-Time Prediction of Damaging Straight-Line Convective Wind
Publisher: American Meteorological Society
Abstract: AbstractThunderstorms in the United States cause over 100 deaths and $10 billion (U.S. dollars) in damage per year, much of which is attributable to straight-line (nontornadic) wind. This paper describes a machine-learning ...
Deep Learning for Spatially Explicit Prediction of Synoptic-Scale Fronts
Publisher: American Meteorological Society
Abstract: AbstractThis paper describes the use of convolutional neural nets (CNN), a type of deep learning, to identify fronts in gridded data, followed by a novel postprocessing method that converts probability grids to objects. ...
Using Deep Learning to Nowcast the Spatial Coverage of Convection from Himawari-8 Satellite Data
Publisher: American Meteorological Society
Creating and Evaluating Uncertainty Estimates with Neural Networks for Environmental-Science Applications
Publisher: American Meteorological Society
Estimating Full Longwave and Shortwave Radiative Transfer with Neural Networks of Varying Complexity
Publisher: American Meteorological Society
Creating and Evaluating Uncertainty Estimates with Neural Networks for Environmental-Science Applications
Publisher: American Meteorological Society
Using Deep Learning to Emulate and Accelerate a Radiative Transfer Model
Publisher: American Meteorological Society
Using Artificial Intelligence to Improve Real-Time Decision Making for High-Impact Weather
Publisher: American Meteorological Society
Abstract: is paper demonstrates that modern AI techniques can aid forecasters on a wide variety of high-impact weather phenomena.
Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School
Publisher: American Meteorological Society