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.
Predicting Warm Season Precipitation
PNNL and University of Arizona researchers evaluated the performance of the Weather Research and Forecasting (WRF) model in simulating precipitation under different weather patterns.
A New Perspective on the Asian Summer Monsoon
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.
New Earth System Module Better Represents Temperature Changes in Reservoirs
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.
Rapidly Exploring Earth System Model Temperature and Precipitation Uncertainty
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.