Comprehensive Radar Data for the Contiguous United States: Multi-Year Reanalysis of Remotely Sensed Storms
نویسندگان
چکیده
Abstract The Multi-Year Reanalysis of Remotely Sensed Storms (MYRORSS) dataset blends radar data from the WSR-88D network and Near-Storm Environmental (NSE) model analyses using Multi-Radar Multi-Sensor (MRMS) framework. MYRORSS uses archive starting in 1998–2011, processing all valid single-radar volumes to produce a seamless three-dimensional reflectivity volume over entire contiguous United States with an approximate 5-min update frequency. grid has 1 km × horizontal dimension is on stretched vertical that extends 20 MSL maximal spacing km. Several reflectivity-derived, severe-storm-related products are also produced, which leverage ability merge MRMS NSE data. Two Doppler velocity-derived azimuthal shear layer maximum produced at higher resolution approximately 0.5 initial period record for 1998–2011. underwent intensive manual quality control ensure available were included while excluding highly problematic negligible percentage overall dataset, but caused large errors some cases. This applications toward radar-based climatologies, postevent analysis, machine learning applications, verification, warning improvements. Details process examples these presented.
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ژورنال
عنوان ژورنال: Bulletin of the American Meteorological Society
سال: 2022
ISSN: ['1520-0477', '0003-0007']
DOI: https://doi.org/10.1175/bams-d-20-0316.1