Advances in Science and Research
Advances in Science and Research
ASR
Articles | Volume 16
Articles | Volume 16
https://doi.org/10.5194/asr-16-11-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/asr-16-11-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16
22 Mar 2019
 | 22 Mar 2019

Teleconnections and Extreme Ocean States in the Northeast Atlantic Ocean

Emily Gleeson, Colm Clancy, Laura Zubiate, Jelena Janjić, Sarah Gallagher, and Frédéric Dias

Related authors

Using machine learning to produce a cost-effective national building height map of Ireland to categorise local climate zones
Eoghan Keany, Geoffrey Bessardon, and Emily Gleeson
Adv. Sci. Res., 19, 13–27, https://doi.org/10.5194/asr-19-13-2022,https://doi.org/10.5194/asr-19-13-2022, 2022
Short summary
Using machine learning to produce a very high resolution land-cover map for Ireland
Eoin Walsh, Geoffrey Bessardon, Emily Gleeson, and Priit Ulmas
Adv. Sci. Res., 18, 65–87, https://doi.org/10.5194/asr-18-65-2021,https://doi.org/10.5194/asr-18-65-2021, 2021
Short summary
HARMONIE-AROME single-column tools and experiments
Emily Gleeson, Stephen Outten, Bjørg Jenny Kokkvoll Engdahl, Eoin Whelan, Ulf Andrae, and Laura Rontu
Adv. Sci. Res., 17, 255–267, https://doi.org/10.5194/asr-17-255-2020,https://doi.org/10.5194/asr-17-255-2020, 2020
Short summary
Modelling Glaciers in the HARMONIE-AROME NWP model
Ruth Mottram, Kristian Pagh Nielsen, Emily Gleeson, and Xiaohua Yang
Adv. Sci. Res., 14, 323–334, https://doi.org/10.5194/asr-14-323-2017,https://doi.org/10.5194/asr-14-323-2017, 2017
Short summary
The HIRLAM fast radiation scheme for mesoscale numerical weather prediction models
Laura Rontu, Emily Gleeson, Petri Räisänen, Kristian Pagh Nielsen, Hannu Savijärvi, and Bent Hansen Sass
Adv. Sci. Res., 14, 195–215, https://doi.org/10.5194/asr-14-195-2017,https://doi.org/10.5194/asr-14-195-2017, 2017
Short summary
More articles (5)

Cited articles

Ardhuin, F., Rogers, E., Babanin, A. V., Filipot, J.-F., Magne, R., Roland, A., van der Westhuysen, A., Queffeulou, P., Lefevre, J.-M., Aouf, L., and Collard, F.: Semiempirical Dissipation Source Functions for Ocean Waves. Part I: Definition, Calibration, and Validation, J. Phys. Oceanogr., 40, 1917–1941, https://doi.org/10.1175/2010JPO4324.1, 2010. a
Atan, R., Goggins, J., and Nash, S.: A Detailed Assessment of the Wave Energy Resource at the Atlantic Marine Energy Test Site, Energies, 9, 967, https://doi.org/10.3390/en9110967, 2016. a, b
Barnston, A. and Livezey, E.: Classification, seasonality and persistence of low-frequency atmospheric circulation patterns, Mon. Weather Rev., 115, 1083–1126, 1987. a, b
Bertin, X., Prouteau, E., and Letetrel, C.: A significant increase in waveheight in the North Atlantic Ocean over the 29th century, Global Planet. Change, 106, 77–83, 2013. a
Bueh, C. and Nakamura, H.: Scandinavian pattern and its climatic impact, Q. J. Roy. Meteor. Soc., 133, 2117–2131, https://doi.org/10.1002/qj.173, 2007. a
More articles (39)
Download
Short summary
The Northeast Atlantic possesses an energetic and variable wind and wave climate which has a large potential for renewable energy extraction. The role of surface winds in the generation of ocean waves means that global atmospheric circulation patterns and wave climate characteristics are inherently connected. In this study we investigated the influence of large scale atmospheric oscillations on waves in the Northeast Atlantic using a high resolution wave projection dataset.
Read more