Wendy Shaw begins an initial two-year term on the Advisory Board of Chemical Society Reviews.

Lili Yao named associated editor at the Journal of Hydrology, a leading journal in the field of hydrological sciences.

Building new climate outcome scenarios by stitching together pieces of existing ones.

In a water-containing system, the open circuit potential stabilizes positively charged species and lowers the energy barrier of the reaction.

The flux of carbon dioxide from forest soil may acclimate to some aspects of climate change.

Identifying links between large-scale and local-scale model biases in tropical precipitation.

Radha Kishan Motkuri lends skill and knowledge to co-lead special edition journal.

Johannes Lercher receives award from the North American Catalysis Society and the European Federation of Catalysis Societies.

Haewon McJeon will co-edit a special issue of Energy and Climate Change focused on national decarbonization strategies across the globe.

PNNL scientists carve a path to profit from carbon capture by creating a system that efficiently captures CO2 and converts it into one of the world’s most widely used chemicals: methanol.

Extreme winter storms are growing wetter and changing shape in the Western United States—such changes could compromise infrastructure designed to withstand only so much water.

Interactive freshwater flux works to prolong density anomalies over deep water formation areas in the North Atlantic.

PNNL’s contributions over the last year span scientific discovery, sustainable energy and national security.

Abigail Snyder named to international team focused on designing and scoping models for use in large intercomparison project.

The American Geophysical Union will honor Andrew Gettelman at their Fall Meeting as a new Fellow.

Interactions between fronts and the land-sea breeze lead to strong vertical exchange in the northern Gulf of Mexico.

Steven Smith joins an international team that will evaluate current data and identify what should be included for future climate modeling.

Data-driven experiments can help determine best practices for Random Forest machine learning to predict water quality, particularly nitrate levels.

When wildfires burn in the west, the heat and airborne particles they release inflict stronger rain and larger hail upon central states.

Evaluating the relative roles of soil water stress and vapor pressure deficit at limiting canopy conductance in coupled land-atmosphere simulations.