Report for the Oregon Public Utility Commission highlights innovations and best practices for resilience and utility planning could be helpful to other states as well.

Ben Bond-Lamberty, an Earth scientist, was recently awarded the Outstanding Editor Award 2022 for the scientific journal Biogeosciences.

Improving a snow albedo model to account for non-spherical snow grain shapes and the mixing of dust inside snowflakes in an Earth system model.

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.

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.

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

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.

Harnessing the sea for decarbonized energy is the focus of a new collaboration between PNNL and the University of Guam.

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

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.

A PNNL team developed and used a model framework to understand the performance and structural reliability of a state-of-the-art solid oxide electrolysis cell design.

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.

Tailoring hydrogen-based energy storage solutions to specific real-world applications.