Hailong Wang is a non-federal co-lead for the Arctic Systems Interactions Collaboration Team that will explore the Arctic’s dynamic interconnected systems.

Ben Bond-Lamberty, an Earth scientist, was recently awarded the Outstanding Editor Award 2022 for the scientific journal Biogeosciences.

Lili Yao named associated editor at the Journal of Hydrology, a leading journal in the field of hydrological sciences.

Haewon McJeon will co-edit a special issue of Energy and Climate Change focused on national decarbonization strategies across the globe.

Abigail Snyder named to international team focused on designing and scoping models for use in large intercomparison project.

The American Geophysical Union will honor Andrew Gettelman at their Fall Meeting as a new Fellow.

Steven Smith joins an international team that will evaluate current data and identify what should be included for future climate modeling.

Jiwen Fan honored for improving fundamental atmospheric science and modeling capabilities by being named a Fellow of the American Meteorological Society.

We are pleased to welcome 20 new joint appointees to PNNL.

Qiu Yang begins a one-year term as an associate editor of the Journal of the Atmospheric Sciences.

Dalei Hao joined the editorial board of the journal Earth System Science Data, covering land and ice.

In an invited review article, PNNL researchers examined the literature surrounding modeling and measuring the ice-nucleating particles that help form clouds.

Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.

PNNL scientist Brian O’Neill led the compilation of an IPCC chapter about climate-related risks.

Vanda Glezakou and Laboratory Fellow Roger Rousseau collaborated with other experts to write an American Chemical Society book chapter.

A hybrid computing approach for solving quantum chemical problems offers a practical bridge between classical and quantum computing.

The U.S. Department of Energy has selected the Scalable Predictive Methods for Excitations and Correlated Phenomena project to receive funding to develop software for chemical research.

The project received an Innovative and Novel Computational Impact on Theory and Experiment (INCITE) award, a highly competitive U.S. Department of Energy Office of Science program.