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.

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.

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

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

Differences in the rainfall intensity of mesoscale convective systems and other types of warm—season rainfall in the central United States lead to differences in their impacts over land.

Floodplain inundation simulations shed light on flood generation mechanisms and the increasing role of extreme rainfall.

Atmospheric rivers that make landfall on the U.S. West Coast show broad increases in size and intensity with warmer local sea surfaces.

Information extracted from a variety of atmospheric observations can correct the behavior of a model and improve simulated clouds.

Aerosol treatments in E3SM affect clouds, heat reflected to space, and Earth’s snow-or-ice-covered surface.

Researchers created an open database for soil-atmosphere greenhouse gas flux data.

PNNL researchers used the Global Change Analysis Model (GCAM) to explore 15 different global scenarios that consisted of combinations of five different socioeconomic futures and four different climatic futures.

New-particle formation driven by natural biogenic emissions produces a large number of small particles in the Amazon free troposphere.

A team of researchers led by scientists from PNNL simulated carbon cycling and community composition during 100 years of forest regrowth following disturbance.