Classifying the diverse ways that plants respond to hydrologic stress into generalizable
'water‐use strategies' has long been an eco‐physiological research goal. While many …

Earth's surface is composed of a staggering diversity of particulate–fluid mixtures: dry to wet,
dilute to dense, colloidal to granular and attractive to repulsive particles. This material variety …

This paper presents a recurrent neural network model to make medium-to-long term
predictions, ie time horizon of⩾ 1 week, of electricity consumption profiles in commercial and …

Rapid identification of anomalous methane sources in oil/gas fields could enable corrective
action to fight climate change. The GHGSat‐D satellite instrument measuring atmospheric …

Several very large high‐impact fires burned nearly 4,000 km2 of mesic forests in western
Oregon during September 7–9, 2020. While infrequent, very large high‐severity fires have …

In this paper, we tackle air quality forecasting by using machine learning approaches to
predict the hourly concentration of air pollutants (eg, ozone, particle matter (PM 2.5) and …

The response of forests to climate change depends in part on whether the photosynthetic
benefit from increased atmospheric CO2 (∆ Ca= future minus historic CO2) compensates for …

Vegetation alters urban climates via transpirational cooling; however, unlike shorter
vegetation, trees additionally provide shade and shelter. Urban canopy models (UCMs) are …

Over the past 100 years, the collaborative effort of the international science community,
including government weather services and the media, along with the associated …

In recent years, adopting renewable energy, such as wind power, has become a national
energy policy for many countries due to concerns of pollution and climate change from fossil …