Researchers developed a high-resolution mesoscale convective systems database by synthesizing satellite and radar network observations available from 2004 to 2016.

This research addresses two topics that are not well understood in literature: the interplay between organic linkers and substrates during MOF crystallization, as well as the mechanisms that control heterostructure formation in solutions.

Cloud and precipitation characteristics observed by the Global Precipitation Measurement spaceborne radar allowed researchers to establish, for the first time, a global map of mesoscale convective systems in mid- and high-latitude regions.

As the planet has warmed during recent history, summer sea ice extent has been decreasing in the Arctic but expanding in the Antarctic at modest but significant rates. This study helps explain why the hemispheres are behaving differently.

Ecological modeler Kate Buenau discusses how the Triton Initiative can use modeling to predict potential environmental effects of marine energy systems.

Researchers from PNNL have helped colleagues at OHSU identify lipid molecules required for Zika infection in human cells. The specific lipids involved could also be a clue to why the virus primarily infects brain tissue.

A new version of the E3SM Atmosphere Model (EAM) has been released to the community. This study provides an overview of the model and the science behind it, describing advances made to address E3SM science challenges.

A study led by researchers at PNNL reveals physical mechanisms that link declining Arctic sea ice to increasing winter air stagnation and pollution extremes in China based on Earth system modeling results.

A new PNNL report says the western U.S. power system can handle large-scale vehicle electrification up to 24 million vehicles through 2028, but more than that and cities could start feeling the squeeze.

A technology that can quickly detect explosive vapors, deadly chemicals and illicit drugs with unparalleled accuracy has been named the 2020 Innovation of the Year by GeekWire, the Seattle-based technology news company.

Researchers performed controlled laboratory experiments using river sediment to test organic matter thermodynamics as a mechanism of metabolic control in areas where groundwater and surface water mix.

Researchers performed a combined analysis of metabolic and gene co-expression networks to explore how the soil microbiome responds to changes in moisture and nutrient conditions.

By studying discrete functional components of the soil microbiome at high resolution, researchers obtained a more complete picture of soil diversity compared to analysis of the entire soil community.

Researchers trained deep neural networks to accurately predict microbial interactions captured by fluorescence microscopy.

In this study, researchers probed the ice nucleation ability of different aerosol types by combining 11-year observations from multiple satellites and cloud-resolving model simulations.

PNNL scientists led a study to explore the characteristics of seasonal precipitation changes and investigate the underlying mechanisms, with a focus on clarifying the roles of moisture and circulation in the western U.S.

Scientists at PNNL used an integrated Earth System Model (ESM) and an economically oriented energy-land model to examine how human-natural feedbacks operate under high and medium warming scenarios.

The U.S. Department of Energy’s Office of Science bestows one of its highest honors on James De Yoreo, distinguished PNNL materials scientist.

New study provides a key reference for Demeter users and is expected to help reduce uncertainties in downstream hydrologic and Earth system simulations.

To help close the gap between observed and modeled ice-nucleating particles (INPs), researchers simulated concentrations of dust, sea spray, and other types of atmospheric particles within a global atmospheric model.