ARM

Tag: AMF1

  • Micropulse Lidar Cloud Mask Machine Learning VAP Released for 2 ARM Campaigns

    This sample quicklook plot from the TRACER ARM Mobile Facility site shows the log of the normalized relative backscatter (log10 NRB), linear depolarization ratio (LDR), and cloud mask from the MPLCMASKML value-added product for September 6, 2022. In addition, the plot contains the machine learning model’s confidence in its prediction, as well as cloud base…

  • Black Carbon Data Product Available for Use

    Sample plots show black carbon mass concentrations and size distributions from February 16, 2020, at ARM’s North Slope of Alaska (NSA) atmospheric observatory. On this day, smoke from biomass burning approached the NSA. The Atmospheric Radiation Measurement (ARM) user facility developed a data product for scientists to measure the black carbon (BC) mass loadings in…

  • New Aerosol Hygroscopicity Kappa Data Available

    Sample CCNSMPSKAPPA plots from the Surface Atmosphere Integrated Field Laboratory (SAIL) field campaign in Colorado show kappa values within critical diameter-supersaturation field space (top) and a time series of kappa (bottom) on March 15, 2022, at ARM’s Aerosol Observing System (AOS) site on Crested Butte Mountain. The CCN particle counter and SMPS operated as part…

  • ARM Expands Collection of Merged Aerosol Size Distribution Data

    The plots show a selection of hand-labeled quality assessments (good, indeterminate, and bad) for MERGEDSMPSAPS aerosol size distributions from ARM data. These distributions and labels were used to train the MERGEDSMPSAPSML value-added product. The Atmospheric Radiation Measurement (ARM) user facility currently operates at least four instruments that measure a portion of the ambient aerosol size…

  • Large-Scale Forcing Data Released for TRACER Campaign

    Continuous large-scale forcing data are now available for the TRacking Aerosol Convection interactions ExpeRiment (TRACER), conducted by the Atmospheric Radiation Measurement (ARM) user facility from October 2021 through September 2022 in the Houston, Texas, area. The derived forcing data are based on a constrained variational analysis approach (Zhang and Lin 1997; Zhang et al. 2001).…

  • TRACER 3-Channel Microwave Radiometer Retrieval Data Now Available

    This Microwave Radiometer Retrievals version 2 (MWRRETv2) quicklook image provides data from February 2, 2022, at the ARM Mobile Facility site in La Porte, Texas, during the TRacking Aerosol Convection interactions ExpeRiment (TRACER). From top to bottom, panels show observed brightness temperatures at 23.8 (blue), 30 (red), and 89 GHz (green); physically (red and blue)…

  • TRACER Cell Tracking Data Shed Light on Convective Evolution

    Using data from the second-generation C-Band Scanning ARM Precipitation Radar (CSAPR2), the panels provide reflectivity (a, c, e, g) and Doppler velocity (b, d, f, h) processed from three range-height indicator scans (a–f) and the lowest plan position indicator scan (g, h) during the TRacking Aerosol Convection interactions ExpeRiment (TRACER) on August 17, 2022, in…

  • New Microwave Radiometer Retrieval Data Now Available

    This Microwave Radiometer Retrievals (MWRRET) quicklook image provides information from the TRacking Aerosol Convection interactions ExpeRiment (TRACER) near Houston, Texas, on June 22, 2022. The image shows, from top to bottom, observed brightness temperatures at 23.8 GHz (blue) and 31.4 GHz (red); retrieved precipitable water vapor from the physical method (blue) and statistical method (green);…

  • New ARM Data Epoch Assembled From COMBLE Campaign

    In this satellite image of the Norwegian Sea on March 28, 2020, a cold-air outbreak spurs the formation of “cloud streets.” As these broken cloud decks stream southward, they evolve into cellular patterns. In red are the two instrument locations in Norway during ARM’s Cold-Air Outbreaks in the Marine Boundary Layer Experiment (COMBLE). This event…

  • New Data Product Determines Thermodynamic Phase of Cloud Hydrometeors

    Thermodynamic cloud phase identification is important to understand many cloud processes such as ice particle production, precipitation formation, and cloud life-cycle evolution, and it is essential to improve our understanding of cloud radiative properties and the atmospheric radiative budget. Because ice particles and liquid droplets have distinct sizes, shapes, fall velocities, and refractive indexes, clouds…