949 Initial Results from MYRORSS: A Multi-Radar/Multi-Sensor Climatology of the United States

Tuesday, 24 January 2017
4E (Washington State Convention Center )
Travis M. Smith, Univ. of Oklahoma/NSSL, Norman, OK; and K. L. Ortega, K. M. Calhoun, C. Karstens, D. M. Kingfield, R. A. Lagerquist, M. C. Mahalik, A. McGovern, T. C. Meyer, H. Obermeier, A. E. Reinhart, and B. R. Smith

The Multi-Year Reanalysis of Remotely Sensed Storms (MYRORSS) project is a reprocessing, quality controlling, and blending of all WSR-88D data from the NEXRAD (1996-present) era. The data are initially quality controlled using automated techniques, and then manually analyzed and corrected by meteorologists. These radar data are combined with information from other sources (e.g. lightning, surface observations, model analyses) to create a robust, curated observational data set that lends itself to a variety of purposes such as data mining and climatological studies.

The initial data set includes data from 2000-2011 covering the 48 contiguous United States with an approximately 1 km2 spacing on a 3500 by 7000 grid with 5 minute temporal resolution and 35 vertical levels created with Warning Decision Support System-Integrated Information (WDSS-II) Multi-Radar/Multi-Sensor integration software.

The electronic poster presentation summarizes the results and allows viewing of the details for climatologies of radar reflectivity, echo tops, and hail size distribution over the initial 12-year analysis period. We discuss initial results from machine learning studies of convective wind gust probability and storm longevity, as well as other areas for investigation using the data set.


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