Deep Learning on Three-Dimensional Multiscale Data for Next-Hour Tornado Prediction in:
Monthly Weather Review Volume 148 Issue 7 (2020) Jump to Content Logo Logo Logo Logo …

The scientific community has expressed interest in the potential of phased array radars
(PARs) to observe the atmosphere with finer spatial and temporal scales. Although …

In this study, we use machine learning (ML) to improve hail prediction by postprocessing
numerical weather prediction (NWP) data from the new High-Resolution Ensemble Forecast …

This article summarizes research and risk reduction that will inform acquisition decisions
regarding NOAA's future national operational weather radar network. A key alternative being …

In 2009, advancements in NWP and computing power inspired a vision to advance
hazardous weather warnings from a warn-on-detection to a warn-on-forecast paradigm. This …

Andra, DL, Jr., EM Quoetone, and WF Bunting, 2002: Warning decision making: The relative
roles of conceptual models, technology, strategy, and forecaster expertise on 3 May 1999 …

The Evolving Role of Humans in Weather Prediction and Communication in: Bulletin of the
American Meteorological Society Volume 103 Issue 8 (2022) Jump to Content Logo Logo Logo …

We discuss the challenge of managing the Multifunction Phased Array Radar (MPAR)
timeline to satisfy the requirements of its multiple missions, with a particular focus on …

Important requirements for a future generation of weather surveillance radars include
improvements in data quality and more rapid update of volumetric data. Phased array radar …

Physiological indicators, including eye tracking measures, may provide insight into human
decision making and cognition in many domains, including weather forecasting. Situation …