Contributions from researchers across Pacific Northwest National Laboratory (PNNL) were recently recognized in the preliminary findings of a Secretary of Energy Advisory Board (SEAB) report.

This study, led by by PNNL researchers, highlights the substantial role of soil erosion in the carbon cycle simulated by Earth system models.

DOE lab and university researchers used the Community Atmospheric Model 5.3 to investigate the power sea surface temperature has on the intensification or widening of the Hadley cell in the Northern and Southern hemispheres.

A team of researchers led by PNNL scientists have developed an open-source modeling platform, called Metis, that combines global human and Earth system dynamic tools with local datasets.

A study led by PNNL scientists reveals the influence of Arctic and midlatitude black carbon—or soot particles—on the frequency of extreme El Niño-Southern Oscillation (ENSO) events.

This study explores the relative role of temperature and humidity in extreme wet-bulb events and spurs further research into how these factors may change the frequency and intensity of life-threatening events in the future.

In this study, PNNL researchers identified the seasonality changes in extreme precipitation over California under warming.

PNNL materials scientist Ram Devanathan named Fellow and chemist Dave Heldebrant keynotes at the American Chemical Society (ACS) Fall 2020 meeting.

PNNL researchers explored the impacts of short-term shocks on both long-term electric capacity investment and on sub-annual power system operations.

A team of researchers, including PNNL scientists, used 13 years of data to develop an automated algorithm that identifies seven different cloud types at the Atmospheric Radiation Measurement (ARM) site in the U.S. Southern Great Plains.

PNNL researchers used a new method for fingerprinting the sources of rainfall changes in tropical circulations. This new method was applied to the Asian Summer Monsoon (ASM) in DOE’s Energy Exascale Earth System Model.

By using the new reservoir storage-area depth dataset, PNNL researchers were able to improve surface temperature simulation for ~70% of validated reservoirs compared to using simplified reservoir geometry as in previously available models.

Researchers who explore the interactions between human and natural systems will now have the ability to generate thousands of scenarios that can include different kinds of extreme events to study.

Yong Wang, associate director of PNNL’s Institute for Integrated Catalysis, has been recognized with 2021 American Chemical Society’s E.V. Murphree Award in Industrial and Engineering Chemistry.

Earth-abundant metals could potentially rival platinum-group metals as catalysts in chemical reactions, according to an article published in the Aug. 14 journal Science. But more research is needed.

Pacific Northwest marsh carbon stocks are twice the global average. Long-term sea-level rise impacts will likely decrease ecosystem carbon stocks.

The results of this study provide an analysis of the ice nucleation efficiency of bare and acid coated loess from the Columbia Plateau region of the northwestern United States.

PNNL researchers performed and analyzed a large set of sensitivity experiments carried out with the Energy Exascale Earth System Model (E3SM) atmosphere model to identify implementations of a technique called nudging.

Researchers at PNNL tested an alternative approach to determining the mean size of atmospheric particles from remote sensing instruments.

Using machine learning, PNNL researchers identified four types of environments with favorable circulation patterns for spring mesoscale convective systems (MCSs) to form.