A field campaign hosted by Arizona State University will explore how extreme heat, urban growth, and dust influence storm intensity.

Jim Mather, who is retiring this summer after three decades with ARM, reflects on his life and career.

Atmospheric scientist Larry Berg will guide ARM into the next era of scientific observations and succeed Jim Mather, who has led ARM since 2007.

A full seasonal cycle of data from the Synoptic Weather Regime Classification (SynopWeaReg) machine learning value-added product is now available for ARM’s Bankhead National Forest (BNF) atmospheric observatory in Alabama.

Along with releasing new production data from its Improved Continuous Baseline Microphysical Retrieval (MICROBASE) product with uncertainty estimation, ARM has reprocessed previously released versions of MICROBASE products and renamed them as MICROBASE.

The Microwave Radiometer Retrievals (MWRRET) value-added product is available for the first time for several ARM sites. In addition, the MWRRET data set for ARM’s North Slope of Alaska atmospheric observatory has been extended.

We systematically investigated the influence of water vapor fluctuations on turbulence statistics in the convective atmospheric boundary-layer using a series of numerical simulations. Although water vapor is typically assumed to play a passive role in turbulence dynamics, we find that it plays an active role, where it contributes to buoyancy independently of temperature and influences the nature of turbulent transport under humid conditions.

New aerosol particle formations within the marine boundary layer (MBL) have been difficult to pin down, limiting how well earth system models represent this aerosol source. Using measurements from the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) Aerial Facility's G-1 aircraft during the Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) campaign, researchers applied a continuous wavelet transformation technique to derive vertical turbulent fluxes of freshly nucleated 3-10nm particles. This approach sidesteps the stationarity assumptions that limit traditional eddy covariance methods on a fast-moving aircraft platform, and it uses flux direction—upward versus downward—to infer whether a nucleation source lies above or below the aircraft.

95% of the impact on clouds by aerosols emitted by ships is realized through invisible routes instead of explicitly visible ship tracks. This highlights the importance of detecting and attributing aerosol effects on clouds.