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A Crowdsourced Hail Dataset: Potential, Biases, And Inaccuracies, Joseph Robert Pehoski
A Crowdsourced Hail Dataset: Potential, Biases, And Inaccuracies, Joseph Robert Pehoski
Theses and Dissertations
Hail is a substantial severe weather hazard in the USA, with significant damage to property and
crops occurring annually. Traditional methods of forecasting hail size have limited accuracy, and despite
improvements in remote sensing of precipitation, the fall characteristics of hail make quantification of
hail imprecise. Research into hail is ongoing, but traditional hail datasets have known biases and low
spatiotemporal resolution. The increased usage of smartphones creates the opportunity to use a
crowdsourced dataset provided by the Precipitation Identification Near the Ground (PING) program, a
program developed by the National Severe Storms Laboratory. PING data is compared to approximate …