This review paper summarizes current knowledge available for aviation operations related
to meteorology and provides suggestions for necessary improvements in the measurement …

The purpose of this paper is to delineate the research challenges of human—machine
collaboration in risky decision-making. Technological advances in machine intelligence …

This paper describes the development of convolutional neural networks (CNN), a type of
deep-learning method, to predict next-hour tornado occurrence. Predictors are a storm …

Lightning discharges in the atmosphere owe their existence to the combination of complex
dynamic and microphysical processes. Knowledge discovery and data mining methods can …

With increasing interest in explaining machine learning (ML) models, this paper synthesizes
many topics related to ML explainability. We distinguish explainability from interpretability …

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 …

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 …

Artificial intelligence (AI) techniques have had significant recent successes in multiple fields.
These fields and the fields of satellite remote sensing and NWP share the same fundamental …

Using nine years of historical forecasts spanning April 2003–April 2012 from NOAA's
Second Generation Global Ensemble Forecast System Reforecast (GEFS/R) ensemble …

Water managers in the western United States (US) rely on longterm forecasts of temperature
and precipitation to prepare for droughts and other wet weather extremes. To improve the …