PNNL created an assessment method and maturity model that helps manufacturers building products for the power grid implement consistent cybersecurity best practices throughout their development lifecycle.

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.

Ann Lesperance, national security advisor, joins the National Academies of Sciences, Engineering, and Medicine Committee on Applied Research Topics for Hazard Mitigation and Resilience.

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.

Buildings account for around 40 percent of our nation's energy use and consume 75 percent of our nation’s electricity each year. Energy use is also one of the biggest costs for facility owners.

Data Scientist Sam Chatterjee to chair security and defense specialty group of the Society for Risk Analysis.

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

Researchers at PNNL revisit a disaster recovery framework for relevance to COVID-19 pandemic.

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

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

David Manz is a cybersecurity researcher who is working with cyber-physical systems to better protect the critical infrastructure.

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.

PNNL’s longstanding grid and buildings capabilities are driving two projects that test transactive energy concepts on a grand scale and lay the groundwork for a more efficient U.S. energy system.

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.