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.
Understanding the differences and similarities will help improve how models represent storm clouds and other convective processes.
ARM study reveals surprising amount of light absorption by large aerosol particles.
Model comparison evaluates black carbon levels and impacts.
Combining the strengths of existing techniques, new algorithm could help improve climate models.
Cloud, radiation, and drizzle measurements lead to better simulations.
Long-term ARM data used to evaluate precipitation simulations.
