Abstract
A system and method are disclosed to predict location of a thunderhead using crowd sourced mobile technology. The system comprises multiple smartphones enabled to detect relative wind speed, direction and pressure gradients. The crowd-sourced wind movements determine thermal rise locations that are fed into weather models. The system software uses this information to provide targeted emergency weather alerts with pinpoint precision. The resulting thunderhead discoverability is valuable to any group that provides or relies on accurate weather predictions.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Hoy, Jeffrey and Klein, Daniel, "Mobile Crowdsourcing for High-Accuracy Thunderhead Prediction", Technical Disclosure Commons, (June 03, 2016)
https://www.tdcommons.org/dpubs_series/207