Making the Black Box More Transparent: Understanding the Physical Implications of Machine
Learning in: Bulletin of the American Meteorological Society Volume 100 Issue 11 (2019) Jump …

We present an overview of recent work on using artificial intelligence (AI)/machine learning
(ML) techniques for forecasting convective weather and its associated hazards, including …

Recently, the use of machine learning in meteorology has increased greatly. While many
machine learning methods are not new, university classes on machine learning are largely …

The increasing impact of severe weather over Europe on lives and weather‐sensitive
economies can be mitigated by accurate 0–6 h forecasts (nowcasts), supporting a vital 'last …

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 …

Abstract The Geostationary Lightning Mapper (GLM) on the Geostationary Operational
Environmental Satellite‐R series of weather satellites provides point geolocations of …

A primary goal of the National Oceanic and Atmospheric Administration Warn-on-Forecast
(WoF) project is to provide rapidly updating probabilistic guidance to human forecasters for …

This book is about making weather warnings more effective in saving lives, property,
infrastructure and livelihoods, but the underlying theme of the book is partnership. The book …

Aggarwal, SK, and LM Saini, 2014: Solar energy prediction using linear and non-linear
regularization models: A study on AMS (American Meteorological Society) 2013–14 solar …

NOAA ProbSevere v2.0—ProbHail, ProbWind, and ProbTor in: Weather and Forecasting
Volume 35 Issue 4 (2020) Jump to Content Jump to Main Navigation Logo Logo Logo Logo …