Improving Drought and Flooding Predictions from Land Surface Models
New study identifies crucial factors for more accurate hydrological predictions in the Community Land Model version 5.
Exploring How Excess Irrigation Becomes Streamflow in Mountainous Watersheds
Groundwater modeling of irrigation return flow dynamics is important for improving estimates of water availability.
Early Viral Samples Among Laboratory Staffers Were Remarkably Diverse
COVID-19 infections at PNNL early in the pandemic were caused by a wide variety of viral sequences, according to a new analysis by Laboratory researchers.
Taking Marine Energy Research to New Heights
The Triton Initiative deployed a tethered balloon system for the Marine Wildlife Detection and Tracking Project to test methods for monitoring behavioral responses of marine wildlife when they encounter a marine energy device.
The Meteorological Conditions that Promote Deep Cloud Growth
Assessing observed weather conditions that support or suppress the growth of clouds into deep precipitating storms during the Cloud, Aerosol, and Complex Terrain Interactions experiment.
PNNL Scientist Elected Fellow of the American Physical Society
PNNL's Xue Bin Wang has been elected to the rank of fellow of the American Physical Society for his contributions in condensed phase chemical physics.
Particle Acidity Drives Kinetics and Oligomer Formation in Aqueous Secondary Organic Aerosols
Multiple concurrent single-particle measurements help develop a quantitative and predictive understanding of secondary organic aerosols.
Jennifer Webster, PhD
Dr. Jennifer Webster is a senior data scientist and group leader for the Cyber Analytics and Analysis group in the Emerging Threats and Technologies division.
Try This to Integrate Your Multi-Omics Data with Missing Values
Methods review suggests ways to use artificial intelligence and machine learning to handle missing data when integrating two or more omics approaches.
Ecological Strategies of Soil Bacteria Measured Using Multiple Stable Isotopes
The popular approach of organizing soil bacteria into fast- or slow-growing groups is problematic because most bacteria grow at comparable rates in soil.