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Improving NCEP’s global-scale wave ensemble averages using neural networks

  • Published:2020-05 Issue: Volume:149 Page:101617
  • ISSN:1463-5003
  • Container-title:Ocean Modelling
  • language:en
  • Short-container-title:Ocean Modelling

Author:

Campos Ricardo Martins,Krasnopolsky Vladimir,Alves Jose-Henrique,Penny Stephen G.

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Subject

Atmospheric Science,Geotechnical Engineering and Engineering Geology,Computer Science (miscellaneous),Oceanography

Reference49 articles.

1. The NCEP–FNMOC combined wave ensemble product. Expanding benefits of interagency probabilistic forecasts to the oceanic environment;Alves;Bull. Am. Meteorol. Soc.,2013

2. ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis;Amante,2009

3. Development of an ensemble prediction system for ocean surface waves in a coastal area;Behrens;Ocean. Dyn.,2015

4. Application of neural networks and support vector machine for significant wave height prediction;Berbić;Oceanologia,2017

5. Artificial intelligence may be key to better weather forecasts;Boukabara,2019

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