A deep‐learning model to predict thunderstorms within 400 km 2 South Texas domains

Author:

Kamangir Hamid12ORCID,Collins Waylon3,Tissot Philippe2,King Scott A.1

Affiliation:

1. Department of Computing SciencesTexas A&M University Corpus Christi Corpus Christi TX USA

2. Conrad Blucher Institute for Surveying and ScienceTexas A&M University Corpus Christi Corpus Christi TX USA

3. National Weather Service Corpus Christi TX USA

Publisher

Wiley

Subject

Atmospheric Science

Reference81 articles.

1. Baldi P. 2012.Autoencoders unsupervised learning and deep architectures. In Proceedings of ICML Workshop on Unsupervised and Transfer Learning (pp. 37–49).

2. Bengio Y. Lamblin P. Popovici D.andLarochelle H. 2007.Greedy layer‐wise training of deep networks. In Advances in Neural Information Processing Systems (pp. 153–160).

3. Bjerknes V. 1904. Das Problem der Wettervorhers‐age betrachtet vom Standpunkte der Mechanik und der Physik. Meteor. Z. 21 pp.1–7.

4. Probabilistic thunderstorm forecasting by blending multiple ensembles

5. The use of the area under the ROC curve in the evaluation of machine learning algorithms

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