Ice Nucleation Ability: Loess and More
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.
Roadmap for Net-Zero Emissions in California by 2050 Also Brings Health Benefits
Early achievement of net-zero greenhouse gas emissions in California brings much larger health benefits than economic cost.
Toward Optimal Simulation Strategies for Understanding Model Biases and Sensitivities
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.
Deriving Atmospheric Particle Size Information From Optical Measurements
Researchers at PNNL tested an alternative approach to determining the mean size of atmospheric particles from remote sensing instruments.
Quality Assessment of Aerosol Data from Combined Aircraft Measurements
A research team, led by scientists at PNNL, analyzed aerosols’ physical, chemical, and optical properties collected by a suite of airborne instruments during winter as part of a year-long measurement campaign in Cape Cod, Massachusetts.
Understanding the Conditions of Efficient Ice Nucleation
Using two ice nucleation chambers, PNNL researchers found that ice particles, once nucleated, are more efficient at forming ice in the next ice nucleation event.
Identifying Water’s Scale-Specific Impacts on Resilient Electricity System Design
This research provides the first description of incremental water-electricity resilience in the U.S. that considers multiple scales of system inter-dependencies and associated ranges of system decision making.
Building a Storm Tracker Archive
Researchers developed a high-resolution mesoscale convective systems database by synthesizing satellite and radar network observations available from 2004 to 2016.
Contrasting Seasonal Large-Scale Environments Associated with Mesoscale Convective Systems
Using machine learning, PNNL researchers identified four types of environments with favorable circulation patterns for spring mesoscale convective systems (MCSs) to form.