Articles | Volume 9, issue 2
Earth Syst. Sci. Data, 9, 955–968, 2017
https://doi.org/10.5194/essd-9-955-2017
Earth Syst. Sci. Data, 9, 955–968, 2017
https://doi.org/10.5194/essd-9-955-2017
Review article
04 Dec 2017
Review article | 04 Dec 2017

A multi-decadal wind-wave hindcast for the North Sea 1949–2014: coastDat2

Nikolaus Groll and Ralf Weisse

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Cited articles

Bertin, X., Prouteau, E., and Letetrel, C.: A significant increase in wave height in the North Atlantic Ocean over the 20th century, Global Planet. Change, 106, 77–83,https://doi.org/10.1016/j.gloplacha.2013.03.009, 2013.
Bidlot, J., Janssen, P., and Abdalla, S.: A revised formulation for ocean wave dissipation in CY29R1, ECMWF Technical Memorandum, File: R60.9/JB/0516, 2005.
Bidlot, J., Janssen, P., and Abdalla, S.: A revised formulation for ocean wave dissipation and its model impact, ECMWF Technical Memorandum, 509, ECMWF, Reading, UK, 2007.
Charles, E., Idier, D., Thiébot, J., Cozannet, G. L., Pedreros, R., Ardhuin, F., and Planton, S.: Present Wave Climate in the Bay of Biscay: Spatiotemporal Variability and Trends from 1958 to 2001, J. Climate, 25, 2020–2039, https://doi.org/10.1175/JCLI-D-11-00086.1, 2012.
Chawla, A., Spindler, D. M., and Tolman, H. L.: Validation of a thirty year wave hindcast using the Climate Forecast System Reanalysis winds, Ocean Model., 70, 189–206, https://doi.org/10.1016/j.ocemod.2012.07.005, 2013.
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Short summary
A wave hindcast for the North Sea covering the period 1949–2014 using the third-generation spectral wave model WAM was produced. The hindcast is part of the coastDat database representing a consistent and homogeneous met-ocean data set. It is shown that, despite not being perfect, data from the wave hindcast are generally suitable for wave climate analysis.