Satellite observations provide insight into the processes that control the spatial distributions of dust in global climate models.

Scientists discovered that a warming climate delays monsoonal rain, but only over land.

Regional climate models reveal irrigation’s role in strong precipitation and low-level winds across the Central United States.

Comparing large datasets from coordinated aircraft flights provides critical information about data researcher use in a range of analyses.

Urbanization-induced land cover and anthropogenic aerosol changes result in stronger thunderstorms with enhanced precipitation in the Houston area.

Long term power grid planning needs to consider regional dependencies in climate adaption plans.

Despite the challenges, the talented and dedicated staff at Pacific Northwest National Laboratory kept delivering for the nation.

Interdisciplinary review blends advanced scientific understanding to help predict how materials behave in extreme operating conditions.

Ettringite, a mineral found in cement, can latch on to and detain the wily and worrisome radioactive contaminant, pertechnetate.

Integrating information on irrigation processes into Earth system models allows for more accurate representation of the global water cycle.

The effects of too much CO2 can cause clouds covering the oceans to dissipate and be unable to reform.

Hector, a reduced complexity climate model, can be calibrated to emulate 30 different complex, computationally expensive Earth System Models.

New experiments show organic aerosol can be lost from the atmosphere faster than most models predict.

Magazine cover article—“Combating corrosion in the world’s nuclear reactors”—features PNNL research leaders Mark Nutt, Aaron Diaz, and Mychailo Toloczko.

PNNL’s Steven Spurgeon, a materials scientist, was recently elected leader of the Microscopy Society of America (MSA) aberration-corrected microscopy focused interest group.

Historical weather data informs projections of global yields of economically important crops.

To accurately model future U.S. agricultural production, changes in international crop yields cannot be ignored.

Researchers introduced a simulated carbon cycle to the Energy Exascale Earth System Model, broadening its utility and enabling new research directions.

Ecosystem feedback fire model opens new investigative pathways into impacts of fire on future climate.

Hybrid land use model incorporates key factors to understanding agriculture’s potential response to climate change.