Kehoe, the associate manager of the ARM Data Quality Office, passed away August 13, 2025, at age 48.

Continuous data and measurements from recent intensive operations, including ArcticShark uncrewed aerial system flights, are available from ARM’s atmospheric observatory in Alabama.

ARM.gov has gotten a refresh after more than eight years with its previous look. Peruse the site's new features!

A value-added product that merges aerosol size distributions from the scanning mobility particle sizer and aerodynamic particle sizer is now in production for ARM sites in Alabama, Maryland, and the eastern Atlantic Ocean.

Processed using a per-event approach, this new value-added product cuts overhead and streamlines the use of ARM precipitation data for process understanding and model evaluation studies.

These products make it easier for scientists to use scanning ARM cloud radar observations from the Bankhead National Forest (BNF) atmospheric observatory for analyses of clouds.

The surface energy budget couples the atmosphere with the annual evolution of sea ice. Direct measurements from the Multidisciplinary drifting Observatory for the study of Arctic Climate (MOSAiC) have been used to derive a yearly cycle of surface energy budget process relationships that are used to characterize the seasonal evolution of atmosphere-surface interactions and evaluate process interactions in operational models.

New research reveals a fundamental imbalance in the composition of mixed-phase clouds between Earth's two hemispheres. Using U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) User Facility and National Science Foundation airborne observations from 75°S to 87°N, clouds in the Southern Ocean were found to contain significantly higher occurrence frequencies and mass fractions of supercooled liquid water than their northern counterparts. These findings imply an asymmetric response of clouds to a changing Earth's system in the two hemispheres.

This work introduces a machine learning (ML) approach to generate a best-estimate planetary boundary-layer height (PBLHT-BE-ML) by integrating four PBLHT estimates obtained from different remote-sensing measurements.