A new process-oriented diagnostic approach provides new insights into simulated storms and their environments.

Demonstrating methods for using a portable optical particle spectrometer, a miniaturized and highly sensitive instrument, to measure atmospheric aerosol size distributions.

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.

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

A recent edition of the Infrastructure Resilience Research Group Journal featured an article written by PNNL researchers Rob Siefken and Jake Burns about “Design Basis Threat and the Low Threat Environment.”

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.

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.

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.