Current representations of shallow clouds in climate models have biases that lead to inaccuracies in models.

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.

Project manager Alicia Amerson brings the Triton Initiative’s research on environmental monitoring for marine energy applications to life.

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.

Introducing a publicly available and global gridded high-resolution land use dataset based on diverse future socioeconomic and climate scenarios.

New mathematical tools developed at PNNL hold promise to transform the way we operate and defend complex cyber-physical systems, such as the power grid.

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

A simple method produces a complex, atomically precise model catalyst for use in fundamental science studies.

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.

Earth system model highlights the role of chemical sources and sinks of aerosols

Researchers propose and test foundational concepts for the new subdiscipline of “meta-metabolome ecology.”

Marine scientist Joe Haxel leads Triton Field Trials research studying methods to monitor underwater noise associated with marine energy systems.

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

Rigorous mathematical methods can help avoid unnecessary simplifications in numerical models of atmospheric clouds.

More accurate methods provide better results in numerical simulations of atmospheric clouds by avoiding accidental contradictions.

PNNL researchers have developed a new class of chemistry focused on carbon capture technology and made incremental strides in driving down costs.

A code comparison study demonstrates a leap in the accuracy and reliability of modeling gas hydrate for the discovery and production of natural gas.