Tag: AWR

  • ARM Releases Products for Evaluating Climate Model and Radar and Lidar Simulator Outputs

    The left and right panels show differences between the original and CloudSat-aligned Ka-Band ARM Zenith Radar reflectivities (top) and contoured frequency altitude diagrams (CFADs) generated with those reflectivities (bottom) for January 5, 2014, at ARM’s Southern Great Plains atmospheric observatory. Image is courtesy of Yuying Zhang, Lawrence Livermore National Laboratory. To facilitate the direct comparison…

  • 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…

  • Micropulse Lidar Cloud Mask Machine Learning VAP Now In Production

    This sample quicklook plot from the Southern Great Plains atmospheric observatory shows the log of the normalized relative backscatter (log10 NRB), linear depolarization ratio (LDR), and cloud mask from the MPLCMASKML value-added product for January 1, 2015. In addition, the plot contains the machine learning model’s confidence in its prediction, and cloud base and cloud…

  • Satellite-Aligned Version of Ka-Band ARM Zenith Radar Product Now Available

    The top image shows best-estimate reflectivity from the Ka-Band ARM Zenith Radar Active Remote Sensing of CLouds (KAZRARSCL) product for a sample day at the Southern Great Plains atmospheric observatory. The middle image provides the KAZRARSCL best-estimate reflectivity after statistical alignment with CloudSat. The bottom image shows the CloudSat reflectivity offset that was applied at…

  • New Micropulse Lidar Cloud Mask Machine Learning VAP Released

    This sample MPLCMASKML plot from the Southern Great Plains atmospheric observatory shows the log of the normalized relative backscatter (log10 NRB), linear depolarization ratio (LDR), and cloud masks from the MPLCMASKML and MPLCMASK value-added products for December 24, 2017. The strength of the machine learning approach is apparent on this day when moderate aerosol loading…