More Urbanization Could Mean More Rain for Cities
A new study shows that urban heat island effects and increased urban aerosols can spur intense rainfall.
Computational and Applied Geophysical and Geomechanics Laboratory
The Computational and Applied Geophysical and Geomechanics Laboratory enables subsurface fluid dynamics modeling, stability prediction of perforation tunnels, simulation test design, fluid removal or injection monitoring, and more.
Emulating Interactions Between Atmospheric Particles and Light with Machine Learning
Randomly constructed neural networks can learn how to represent light interacting with atmospheric aerosols accurately at a low computational cost and improve climate modeling capabilities.
Sulfur Dioxide Emission Height Reveals Uncertainty in Radiative Forcing Across Earth System Models
The Emissions Model Intercomparison Project examined how selected emissions-related properties affected results in 11 global chemistry and Earth-system models.
Spatial Heterogeneity of Clouds Impacts Rain Initiation in Global Models
The rate of conversion of cloud droplets to precipitation, known as the autoconversion rate, remains a major source of uncertainty in characterizing aerosol’s cloud lifetime effects and precipitation in global and regional models.
E4D
E4D is a 3D geophysical modeling and inversion program designed for subsurface imaging and monitoring using static and time-lapse electrical resistivity tomography (ERT), spectral induced polarization (SIP) and travel-time tomography data.
A Decade of GoAmazon
PNNL researchers have used field campaign data to better understand clouds, aerosols, and the interactions between humans and the atmosphere.
Atmospheric Measurements Laboratory
The Atmospheric Measurements Laboratory at PNNL is one of the nation's leading research facilities for understanding aerosols, clouds, and their interactions.
Scientists Take to the Skies over Azores to Gather Cloud Data
Clouds in the eastern North Atlantic region will come under scrutiny from a bevy of airplane-based instruments this summer as scientists analyze the physical and chemical properties of clouds and aerosols.
Increasing Model Spatial Resolution Fails to Reduce Simulated Storm Biases
The ability of a storm-resolving weather model to predict the growth of storms over central Argentina was evaluated with data from the Clouds, Aerosols, and Complex Terrain Interactions (CACTI) field campaign in central Argentina.