Methane emissions from solid waste may represent a substantial fraction of the global
anthropogenic budget, but few comprehensive studies exist to assess inventory …

With the increasing level of offshore wind energy investment, it is correspondingly important
to be able to accurately characterize the wind resource in terms of energy potential as well …

Mercury (Hg) is a global atmospheric pollutant. In its oxidized form (Hg II), it can readily
deposit to ecosystems, where it may bioaccumulate and cause severe health effects. High …

Abstract The High-Resolution Rapid Refresh (HRRR) is a convection-allowing
implementation of the Advanced Research version of the Weather Research and Forecast …

Abstract The National Weather Service (NWS) Office of Water Prediction (OWP), in
conjunction with the National Center for Atmospheric Research and the NWS National …

Deep learning foundation models are revolutionizing many facets of science by leveraging
vast amounts of data to learn general-purpose representations that can be adapted to tackle …

Cloud microphysics parametrizations control the transfer of water between phases and
hydrometeor species in numerical weather prediction and climate models. As a fundamental …

In the realm of weather forecasting, the implementation of Artificial Intelligence (AI)
represents a transformative approach. However, AI weather forecasting method still faces …

Foundation models have enormous potential in advancing Earth and climate sciences,
however, current approaches may not be optimal as they focus on a few basic features of a …

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 …