Filling gaps in significant wave height time series records using bidirectional gated recurrent unit and cressman analysis-Reference-Cited by-同舟云学术

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Filling gaps in significant wave height time series records using bidirectional gated recurrent unit and cressman analysis

Published:2023-03 Issue: Volume:101 Page:101339
ISSN:0377-0265
Container-title:Dynamics of Atmospheres and Oceans
language:en
Short-container-title:Dynamics of Atmospheres and Oceans

Author:

Wang Jichao,Wen Kaihang,Deng Fangyu

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

Atmospheric Science,Computers in Earth Sciences,Geology,Oceanography

Reference34 articles.

1. Estimating extremely large amounts of missing precipitation data;Aguilera;J. Hydroinform.,2020

2. A hybrid genetic algorithm—extreme learning machine approach for accurate significant wave height reconstruction;Alexandre;Ocean Model.,2015

3. The reconstruction of significant wave height time series by using a neural network approach;Arena;J. Offshore Mech. Arct. Eng.,2004

4. Predictions of missing wave data by recurrent neuronets;Balas;J. Waterw. Port. Coast. Ocean Eng.,2004

5. Study of cubic splines and Fourier series as interpolation techniques for filling in short periods of missing building energy use and weather data;Baltazar;ASME. J. Sol. Energy Eng.,2006

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