The overlooked impact of regional hydroclimate changes on lake evaporation implies more robust regional lake volume changes around the globe.

To improve the study of human-Earth interactions, a 10-year vision report by the MultiSector Dynamics community of practice encourages the use of emerging human systems datasets, embedded intelligence in modeling, and workforce diversity.

Steven Spurgeon, a materials scientist and microscopy researcher at PNNL, has accepted an affiliate associate professorship at the University of Washington Department of Physics.

The rapid growth of urban nanoparticles via the condensation of organic vapors substantially alters shallow cloud formation and suppresses precipitation.

The annual Secretary’s Honor Awards recognize federal and contractor employees who have shown exceptional creativity, drive, and commitment to projects that have lasting impact on the Department of Energy's mission.

AMS Hydrologic Sciences Medal is presented to researchers who make outstanding contributions to scientific knowledge in hydrology, hydrometeorology, and/or hydroclimatology, including interactions between land surface and the atmosphere.

Vanda Glezakou and Laboratory Fellow Roger Rousseau collaborated with other experts to write an American Chemical Society book chapter.

A hybrid computing approach for solving quantum chemical problems offers a practical bridge between classical and quantum computing.

Changes in the downward flow of infrared energy in clear skies are a key factor influencing recent rapid wintertime Arctic warming.

Ensembles of 20–25 members, notably smaller than traditional large ensembles, can accurately represent changes in extremes of temperature and precipitation.

Researchers achieved the complete assignment of the infrared spectrum of a hydronium-water “magic number” cluster reported in Science in 2004.

Researchers developed a new model to understand the initiation of summer-time mesoscale convective systems over the central United States.

Researchers have been investigating if machine learning techniques could be used to help create novel beers.

Using a novel settlement-related dataset produced more accurate population downscaling than using other, more traditional datasets.

Implementing and evaluating a new radiative transfer scheme that accounts for various topographic effects on solar radiation in an Earth system model.

A multi-institutional team has developed a deep learning framework to identify novel molecules as drug candidates.

Despite an increase in future electricity demands, virtual water trading in the U.S. electricity sector is expected to decline as renewable energy expands.

PNNL researchers uncover the mechanics behind dwindling Arctic sea ice and its influence on wildfire weather in the western United States.

City living translates to an extra two to six hours of uncomfortable weather per day in the summer for people in much of the United States.

Human-machine teaming may sound like something from the distant future. In “Human-Machine Teaming: A Vision of Future Law Enforcement” in Domestic Preparedness, Corey Fallon, Kris Cook, and Grant Tietje of PNNL examine this topic.