Region and Cloud Regime Dependence of Parametric Sensitivity in E3SM Atmosphere Model
Researchers seeking to enhance a climate model’s predictive capability identify parameters that cause the largest sensitivities for several important cloud-related fidelity metrics.
Tailoring a Convection-Cloud Chamber for Optimizing Droplet Collisions
This study uses numerical simulations to explore various configurations of a convection‐cloud chamber that may intensify collision‐coalescence.
2024 GCAM Annual Meeting
The Global Change Analysis Model (GCAM) Annual Meeting convenes discussion on the latest developments and current uses of GCAM.
More Accurate Aerosol Emission Needed for High-Resolution Earth System Models
Researchers introduce revised emission treatment that conserves mass and preserves the original heterogeneity.
Advanced Causal Analysis Identifies Key Features Governing Secondary Organic Aerosols
Researchers show application of a causal model better identifies direct and indirect causal relations compared to correlation and random forest analyses performed over the same dataset.
New Model Explains Missing Aerosol and Cloud Condensation Nuclei
Researchers synthesize molecular-level laboratory experiments to develop comprehensive model representations of new particle formation and the chemical transformation of precursor gases.
Careful Coupling Improves High-Resolution Climate Simulation
Study demonstrates that choosing more accurate numerical process coupling helps improve simulation of dust aerosol life cycle in a global climate model.
How to Identify Good Coupling Methods With Error Analysis
Study introduces a mathematically rigorous analysis framework that provides insight into the features and implications of coupling method choices.
Detecting Atmospheric Rivers with Satellite Observations
Atmospheric rivers, filaments of intense moisture transport in the atmosphere, can now be automatically detected in satellite observations.
How Leafcutter Ants Cultivate a Fungal Garden to Degrade Plants and Provide Insights into Future Biofuels
PNNL scientists developed a new method to map exactly how a fungus works with leafcutter ants in a complex microbial community to degrade plant material at the molecular level. The team’s insights are important for biofuels development.