Jebb Stewart

TL;DR: In this article, the authors evaluated the impact of ground-based Global Positioning System (GPS) remote sensing techniques for operational weather forecasting, climate monitoring, atmospheric research and other applications such as satellite calibration and validation.

TL;DR: In this article, the authors investigated the diurnal evolution of thermally driven plain-mountain winds, up and down-valley winds and up-and down-slope winds for summer fair weather conditions in four regions of the Intermountain West where dense wind networks were operated.

TL;DR: It is illustrated how ML can accelerate the pace of improvement in environmental data exploitation and weather prediction—first, by complementing existing systems, and second, where appropriate, as an alternative to some components of the NWP processing chain from observations to forecasts.

TL;DR: The first National Oceanic and Atmospheric Administration (NOAA) workshop on "Leveraging AI in the Exploitation of Satellite Earth Observations and Numerical Weather Prediction" as discussed by the authors was held in April 2019, which brought together over 400 scientists, program managers, and leaders from the public, academic, and private sectors in order to enable experts involved in the development and adaptation of AI tools and applications.

TL;DR: This paper discusses four different state-of-the-art U-Net models designed for detection of tropical and extratropical cyclone Regions Of Interest (ROI) from two separate input sources: total precipitable water output from the GFS model and water vapor radiance images from the Geostationary Operational Environmental Satellite.