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Zhangping Wei and Hai Cong Nguyen
This study presents an encoder?decoder neural network model to forecast storm surges on the US North Atlantic Coast. The proposed multivariate time-series forecast model consists of two long short-term memory (LSTM) models. The first LSTM model encodes t...
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Aikaterini P. Kyprioti, Ehsan Adeli, Alexandros A. Taflanidis, Joannes J. Westerink and Hendrik L. Tolman
During landfalling tropical storms, predictions of the expected storm surge are critical for guiding evacuation and emergency response/preparedness decisions, both at regional and national levels. Forecast errors related to storm track, intensity, and si...
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Victoria L. Ford, Nan D. Walker and Iam-Fei Pun
The 2014 Northeast Pacific hurricane season was highly active, with above-average intensity and frequency events, and a rare landfalling Hawaiian hurricane. We show that the anomalous northern extent of sea surface temperatures and anomalous vertical ext...
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Michael D. Dettinger, Fred Martin Ralph, Tapash Das, Paul J. Neiman and Daniel R. Cayan
California?s highly variable climate and growing water demands combine to pose both water-supply and flood-hazard challenges to resource managers. Recently important efforts to more fully integrate the management of floods and water resources have begun,...
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ERNESTO JÁUREGUI
The potential for damage from hurricanes landfalling in Mexico is assessed. During the 1951-2000 period, Pacific hurricane hits were more frequent on coastal areas of the northwest of the country (e.g., Sinaloa and the southern half of Baja California...
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