Severe Weather Forecasting via the Sole Use of Satellite Data

The forecasting of (severe) weather/climate systems using satellite telemetry and Machine Learning (ML) is generally held back by the size and availability of the pertaining datasets. This research outlines a newly devised pipeline for the automated construction of concise datasets designed to conve...

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Hlavní autoři:	Brianna D'Urso, Sheikh Rabiul Islam, Kamruzzaman Sarker, Ingrid Russell
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	LibraryPress@UF 2024-05-01
Edice:	Proceedings of the International Florida Artificial Intelligence Research Society Conference
Témata:	machine learning meteorology severe weather data mining weather forecasting weather prediction forecasting nowcasting satellite telemetry satellite data atmospheric motion vectors atmosphere ms-lstm ms-rnn convlstm climate climatology climate change satellite image time series
On-line přístup:	https://journals.flvc.org/FLAIRS/article/view/135558
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Severe Weather Forecasting via the Sole Use of Satellite Data

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