A newly developed diagnostic framework helps explain an origin of the persistent “double ITCZ” error in many climate models.

An overview of the Energy Exascale Earth System Model project describing its goals, science drivers, and development and highlighting its key findings.

Using the connected moments mathematical technique decreases the time and computational power needed for performing quantum computing simulations.

Two different nickelate phases spontaneously form during oxygen-plasma-assisted molecular beam epitaxy deposition.

A new framework facilitates scenario evaluation of models with high regional detail—a key component for credible analysis.

Decadal variations in the tropical ocean warming pattern have previously masked but will later amplify the anthropogenically forced changes in the tropical rainband.

Scientists used the strength of land-atmosphere coupling to improve predictions of East Asian summer monsoon rainfall.

Operations specialist, Sue Southard helps the Triton Initiative conduct marine energy field research safely.

A new type of ice chamber allows researchers to understand how ice forms on atmospheric aerosol particles.

Variability in field measurement conditions likely does not impact estimates of an important flux in the global carbon cycle.

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.