PNNL

Jingyi Chen and Claudia Tebaldi, Earth scientists at Pacific Northwest National Laboratory (PNNL), were named 2022 Outstanding Reviewers by American Geophysical Union (AGU) journals. Chen was honored for her work with the Journal of Geophysical Research: Atmospheres (JGR: Atmospheres). Tebaldi was honored for her work with Geophysical Research Letters (GRL). The researchers were selected by the journals’ editorial teams based on their contributions to the peer review process during the previous year.

A list published in Eos highlights the reviewers who made exceptional contributions to the peer review process. Their thoughtful contributions helped improve the final articles and overall quality of AGU journals. JGR: Atmospheres publishes original research focused on atmospheric processes and properties. Topics also include how the atmosphere interacts with other parts of the Earth system and the climate. GRL publishes impactful, communications-length articles across all major geosciences disciplines. Papers in GRL represent innovative and timely work with implications for the planet.

Chen joined PNNL in 2018, as a postdoctoral researcher. Her primary focus is on advancing the process-level understanding and parameterization of convective and stratiform clouds. Some of her recent work involves understanding the formation and evolution of shallow cumulus clouds across diverse land surfaces and urban areas. She also explores the intriguing processes of stratiform cloud morphology transitions in marine environments. Chen received her PhD from the School of Marine and Atmospheric Sciences at Stony Brook University and a BS from the School of Physics at Peking University. 

Tebaldi is a global expert in climate change projections, widely recognized for her application of statistical analysis. She has served in prominent roles with the Intergovernmental Panel on Climate Change, the leading international body for the assessment of climate change. Her work is rooted in the analysis and statistical characterization of climate change projections and their uncertainty, as derived from climate models, with particular interest in the characterization of changes in extremes and changes at the regional scales. Tebaldi has a MS and PhD in statistics from Duke University and a bachelor’s in economics from Bocconi University in Milan, Italy.