[HTML][HTML] Using artificial intelligence to improve real-time decision-making for high-impact weather
Bulletin of the American Meteorological Society, 2017•journals.ametsoc.org
… Karstens, CD, and Coauthors, 2016: Forecaster decision-making with automated probabilistic
guidance in the 2015 Hazardous Weather Testbed probabilistic hazard information experiment.
Fourth Symp. on Building a Weather-Ready Nation: Enhancing Our Nation’s Readiness,
Responsiveness, and Resilience to High Impact Weather Events, New Orleans, LA, Amer. Meteor.
Soc., 4.2. … Witt, 2005: A neural network for detecting and diagnosing tornadic circulations
using the mesocyclone detection and near storm environment algorithms. 21st Int. Conf. …
guidance in the 2015 Hazardous Weather Testbed probabilistic hazard information experiment.
Fourth Symp. on Building a Weather-Ready Nation: Enhancing Our Nation’s Readiness,
Responsiveness, and Resilience to High Impact Weather Events, New Orleans, LA, Amer. Meteor.
Soc., 4.2. … Witt, 2005: A neural network for detecting and diagnosing tornadic circulations
using the mesocyclone detection and near storm environment algorithms. 21st Int. Conf. …
Adams-Selin, RD, and CL Ziegler, 2016: Forecasting hail using a one-dimensional hail growth model within WRF. Mon. Wea. Rev., 144, 4919–4939, doi: 10.1175/MWR-D-16-0027.1.
journals.ametsoc.org
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