
Bridging the Model-Data Divide for Elusive Clouds
To help researchers examine important cloud processes, a DOE user facility activity combines high-resolution simulations with real-world observations
To help researchers examine important cloud processes, a DOE user facility activity combines high-resolution simulations with real-world observations
Predictions of the direct impacts of greenhouse gases must account for local temperature and humidity conditions.
Surface measurements of rain drop sizes shed light on cloud processes and cloud types.
Six cameras are revolutionizing observations of shallow cumulus clouds.
Ultrafine aerosol particles produce bigger storm clouds and more precipitation than larger aerosols in pristine conditions.
Atmospheric Radiation Measurement (ARM) observations provide clues on atmospheric contributions to an Antarctic melt event.
Teamwork provides insight into complicated cloud processes that are important to potential environmental changes in the Arctic.
Aircraft data show that ice particles are smaller and fall faster than models had assumed; correcting this issue in models improves simulation of deep, raining cloud systems.
Data from three Arctic measurement sites show how clouds, temperature, and water vapor impact the Arctic surface energy budget, which could enhance future warming and sea ice melt.
Scientists use LIDAR and radar data to study bird migration patterns, thanks to the Atmospheric Radiation Measurement (ARM) Climate Research Facility.
Research uncovers the errors that prevent modeled precipitation variations from matching real-world results.
Data derived from these instruments will support climate model simulations of cloud processes.