Alfonso Ladino-Rincon, who attended ARM's 2024 summer school, works on projects to support the growth of the open science community.

A new phased approach for artificial intelligence (AI) prioritizes transparent governance, AI‑ready infrastructure, and user engagement to accelerate discovery across the ARM community.

A recent paper uses observations from ARM and other field campaigns to evaluate simulations from the U.S. Department of Energy's Energy Exascale Earth System Model at kilometer-scale resolution.

The product provides an automated cloud type classification for the Coast-Urban-Rural Atmospheric Gradient Experiment (CoURAGE) in Baltimore, Maryland, and ARM's Bankhead National Forest (BNF) atmospheric observatory in Alabama.

This machine learning value-added product for the 2024–2025 Coast-Urban-Rural Atmospheric Gradient Experiment (CoURAGE) provides key insights into the variability of large-scale circulations over the Baltimore, Maryland, region.

The Aerosol Optical Depth (AOD) value-added product derived from 7-channel normal incidence multifilter radiometer measurements is now available for the Southern Great Plains (SGP) and North Slope of Alaska (NSA) atmospheric observatories.

Snow and ice accumulation, called snowpack, act as the nation’s largest natural water reservoir. Snow in the Rocky Mountains supplies rivers that flow to both sides of the Continental Divide, providing both drinking water and water for irrigation. The Upper Colorado River Basin (UCRB) provides water for 40 million people, so knowing how much snow is stored and understanding the processes that increase and degrade snowpack is vital. The Atmospheric Radiation Measurement (ARM) User Facility, working with Colorado State University, deployed a high-resolution weather radar to the ARM User Facility’s Surface Atmosphere Integrated Laboratory (SAIL) site near Mount Crested Butte to build better maps of snow water and mountain snowfall patterns. Researchers developed a gridded Surface QUantitative pRecipitation Estimates (SQUIRE) product from the radar observations. They used different methods to show the range of possible outcomes as snow is difficult to measure and can affect radar signals in many ways. This approach helps communicate the remaining uncertainty to the many groups who will rely on these snowfall maps.

Medium chain chlorinated paraffins (MCCPs) are toxic compounds that can undergo long-range transport via the atmosphere. Measuring their atmospheric abundances is challenging because of the large number of similar compounds that make up this chemical class.

Ice microphysical processes are inherently complex because of the diversity of ice crystal habits and their interaction with supercooled liquid water and turbulence. We investigate the radar signatures of ice particle habits and the role of turbulence on ice particle growth in the arctic mixed-phase clouds.