Machine learning applied to model cloud-cloud interactions traditionally absent in global climate models.

Atmosphere model errors in this region originate from their own limitations rather than lack of air–sea coupling.

Aerosols, El Niño, and sea surface temperature over the northern Gulf of Mexico influence variation.

New analysis assesses the realism and biases of tropical cyclones at various resolutions in E3SM.

Researchers at PNNL have developed a bacteria testing system called OmniScreen that combines biological and synthetic chemistry with machine learning to hunt down pathogens before they strike.

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

PNNL is one of the collaborating partners on a new grid-scale solar and energy storage installation near the PNNL campus in a project led by Energy Northwest.

A small collection of naturally interacting soil microbes could enable new studies of community interactions and metabolism.

PNNL researchers are looking for protein signatures that could provide information about how the body's immune system responds to COVID-19.

PNNL scientists have developed a catalyst that converts ethanol into C5+ ketones that can serve as the building blocks for everything from solvents to jet fuel.

PNNL’s new Smart Power Grid Simulator, or Smart-PGSim, combines high-performance computing and artificial intelligence to optimize power grid simulations without sacrificing accuracy.

Like a toxic Trojan horse, microplastics can act as hot pockets of contaminant transport. But, can microplastics get into plant cells? Recent research shows that they can't.

Miscanthus and switchgrass are promising alternatives to traditional annual crops.

A new study provides insights on the location of forcing that yields the optimal cooling effect.

New research improves chemical understanding of how ultrafine atmospheric particles grow into climatically active sizes.

A zoonotic coronavirus known as SADS-CoV that has killed many pigs has the ability to infect human cells, surprising scientists.

PNNL researchers evaluated the accuracy of their software system designed to track bird and bat behavior around remote offshore wind turbines.

The MIT-sponsored competition encourages community approaches to developing new solutions for analyzing graphs and sparse data; PNNL has placed a winner in each year.

In a new video series, PNNL is highlighting six scientific and technical experts in the national security domain throughout the fall. Each was promoted to scientist and engineer level 5 earlier this year.

Community Land Model 5.0 can represent how irrigation influences water, carbon, and nitrogen budgets throughout a highly managed semiarid watershed.