Articles | Volume 14, issue 8
https://doi.org/10.5194/nhess-14-2145-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-14-2145-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Aug 2014
Research article |
| 22 Aug 2014
Automated classification of the atmospheric circulation patterns that drive regional wave climates
J. Pringle
Centre for Research in Environmental, Coastal & Hydrological Engineering, School of Engineering, University of KwaZulu-Natal, 4041 Durban, South Africa
D. D. Stretch
Centre for Research in Environmental, Coastal & Hydrological Engineering, School of Engineering, University of KwaZulu-Natal, 4041 Durban, South Africa
A. Bárdossy
Centre for Research in Environmental, Coastal & Hydrological Engineering, School of Engineering, University of KwaZulu-Natal, 4041 Durban, South Africa
Institute of Hydraulic Engineering, Universität Stuttgart, 70569 Stuttgart, Germany
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Cited
14 citations as recorded by crossref.
- An atmospheric-to-marine synoptic classification for statistical downscaling marine climate P. Camus et al. https://doi.org/10.1007/s10236-016-1004-5
- Extreme wave analysis based on atmospheric pattern classification: an application along the Italian coast F. De Leo et al. https://doi.org/10.5194/nhess-20-1233-2020
- Study on the bivariate distribution characteristics of extreme wave height and wave direction under different weather systems J. Li et al. https://doi.org/10.1063/5.0281361
- Assimilation of ocean wave spectra and atmospheric circulation patterns to improve wave modelling S. Corbella et al. https://doi.org/10.1016/j.coastaleng.2015.03.003
- Extracting independent and identically distributed samples from time series significant wave heights in the Yellow Sea Z. Shao et al. https://doi.org/10.1016/j.coastaleng.2020.103693
- A Review of Classification Problems and Algorithms in Renewable Energy Applications M. Pérez-Ortiz et al. https://doi.org/10.3390/en9080607
- Classification of synoptic weather patterns associated with extreme wave events in different regions of Western South Atlantic M. da Silva et al. https://doi.org/10.1007/s11069-025-07166-7
- On a new statistical wave generator based on atmospheric circulation patterns and its applications to coastal shoreline evolution J. Pringle & D. Stretch https://doi.org/10.1016/j.cageo.2021.104707
- A Dirichlet-multinomial mixture model-based approach for daily solar radiation classification Â. Frimane et al. https://doi.org/10.1016/j.solener.2018.06.059
- Regional frequency analysis of extreme significant wave heights with long return periods based on complete distribution characteristics J. Li et al. https://doi.org/10.1016/j.apor.2025.104566
- On linking atmospheric circulation patterns to extreme wave events for coastal vulnerability assessments J. Pringle et al. https://doi.org/10.1007/s11069-015-1825-4
- A New Approach for the Stochastic Simulation of Regional Wave Climates Conditioned on Synoptic-Scale Meteorology J. Pringle & D. Stretch https://doi.org/10.2112/JCOASTRES-D-18-00158.1
- Gridded daily precipitation data for Iran: A comparison of different methods A. Bárdossy et al. https://doi.org/10.1016/j.ejrh.2021.100958
- Synoptic-scale to mesoscale atmospheric circulation connects fluvial and coastal gravel conveyors and directional deposition of coastal landforms in the Dead Sea basin H. Eyal et al. https://doi.org/10.5194/esurf-11-547-2023
14 citations as recorded by crossref.
- An atmospheric-to-marine synoptic classification for statistical downscaling marine climate P. Camus et al. https://doi.org/10.1007/s10236-016-1004-5
- Extreme wave analysis based on atmospheric pattern classification: an application along the Italian coast F. De Leo et al. https://doi.org/10.5194/nhess-20-1233-2020
- Study on the bivariate distribution characteristics of extreme wave height and wave direction under different weather systems J. Li et al. https://doi.org/10.1063/5.0281361
- Assimilation of ocean wave spectra and atmospheric circulation patterns to improve wave modelling S. Corbella et al. https://doi.org/10.1016/j.coastaleng.2015.03.003
- Extracting independent and identically distributed samples from time series significant wave heights in the Yellow Sea Z. Shao et al. https://doi.org/10.1016/j.coastaleng.2020.103693
- A Review of Classification Problems and Algorithms in Renewable Energy Applications M. Pérez-Ortiz et al. https://doi.org/10.3390/en9080607
- Classification of synoptic weather patterns associated with extreme wave events in different regions of Western South Atlantic M. da Silva et al. https://doi.org/10.1007/s11069-025-07166-7
- On a new statistical wave generator based on atmospheric circulation patterns and its applications to coastal shoreline evolution J. Pringle & D. Stretch https://doi.org/10.1016/j.cageo.2021.104707
- A Dirichlet-multinomial mixture model-based approach for daily solar radiation classification Â. Frimane et al. https://doi.org/10.1016/j.solener.2018.06.059
- Regional frequency analysis of extreme significant wave heights with long return periods based on complete distribution characteristics J. Li et al. https://doi.org/10.1016/j.apor.2025.104566
- On linking atmospheric circulation patterns to extreme wave events for coastal vulnerability assessments J. Pringle et al. https://doi.org/10.1007/s11069-015-1825-4
- A New Approach for the Stochastic Simulation of Regional Wave Climates Conditioned on Synoptic-Scale Meteorology J. Pringle & D. Stretch https://doi.org/10.2112/JCOASTRES-D-18-00158.1
- Gridded daily precipitation data for Iran: A comparison of different methods A. Bárdossy et al. https://doi.org/10.1016/j.ejrh.2021.100958
- Synoptic-scale to mesoscale atmospheric circulation connects fluvial and coastal gravel conveyors and directional deposition of coastal landforms in the Dead Sea basin H. Eyal et al. https://doi.org/10.5194/esurf-11-547-2023
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