Atmospheric extreme events cause severe damage to human societies and ecosystems.
The frequency and intensity of extremes and other associated events are continuously …

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 …

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

Enhanced interaction between solar‐wind and Earth's magnetosphere can cause space
weather and geomagnetic storms that have the potential to damage critical technologies …

All sorts of chemicals get degraded under various environmental stresses, and the
degradates coexist with the parent compounds as mixtures in the environment. Antibiotics …

To better understand the regional changes in summertime temperatures across the
conterminous United States (CONUS), we adopt a recently developed machine learning …

Research on weather and climate extremes has become integral to climate science due to
their increasing societal relevance and impacts in the context of anthropogenic climate …

High concentrations of ozone in the Uinta Basin, Utah, can occur after sufficient snowfall and
a strong atmospheric anticyclone creates a persistent cold pool that traps emissions from oil …

Imagine that high-impact weather phenomena, such as those described above, are forecast
with sufficiently advanced warning and precision that humankind is able to significantly …

The optical flow technique has advantages in motion tracking and has long been employed
in precipitation nowcasting to track the motion of precipitation fields using ground radar …