George Karniadakis receives award highlighting 30 years of work developing computational methods to solve real-world problems.

Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.

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.

Earth scientist Susannah Burrows selected as one of seven new members of the Atmospheric Research Measurement facility user executive committee

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

Explainable AI helps scientists understand and untangle the threads of information that the system uses to make choices or recommendations.

PNNL data scientists Henry Kvinge and Ted Fujimoto presented their research on few-shot learning and reinforcement learning, respectively, at workshops during the 2021 AAAI Conference on Artificial Intelligence.

Sriram Krishnamoorthy, a computer scientist at PNNL, collaborated with a University of Utah team on a student computing research project that won Best Student Paper at SC20.

PNNL streamlines environmental review process for advanced reactors, saving years and millions of dollars toward deployments of new nuclear power projects.

Earth scientist Jiwen Fan appointed to a four-year term as an editor of the Journal of Advances in Modeling Earth Systems handling atmosphere papers.

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.

As a member of the NAM board of directors, Brett Jefferson, PNNL data scientist, will help lead the professional association’s mission to advance mathematical excellence of underrepresented minorities.

Bin Zhao was appointed as an associate editor to both Geophysical Research Letters and Frontiers in Environmental Science.

New Distinguished Graduate Research Program will provide opportunities for North Carolina State University doctoral students to tackle real-world data science challenges alongside PNNL scientists.

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

New approach allows nonexperts to optimize control of a building's energy systems without adding computing power or proprietary software.

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