Articles | Volume 9, issue 2
https://doi.org/10.5194/essd-9-955-2017
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

Related authors

Surface drifters in the German Bight: model validation considering windage and Stokes drift
Ulrich Callies, Nikolaus Groll, Jochen Horstmann, Hartmut Kapitza, Holger Klein, Silvia Maßmann, and Fabian Schwichtenberg
Ocean Sci., 13, 799–827, https://doi.org/10.5194/os-13-799-2017,https://doi.org/10.5194/os-13-799-2017, 2017
Short summary

Related subject area

Data, Algorithms, and Models
Improved maps of surface water bodies, large dams, reservoirs, and lakes in China
Xinxin Wang, Xiangming Xiao, Yuanwei Qin, Jinwei Dong, Jihua Wu, and Bo Li
Earth Syst. Sci. Data, 14, 3757–3771, https://doi.org/10.5194/essd-14-3757-2022,https://doi.org/10.5194/essd-14-3757-2022, 2022
Short summary
The Fengyun-3D (FY-3D) global active fire product: principle, methodology and validation
Jie Chen, Qi Yao, Ziyue Chen, Manchun Li, Zhaozhan Hao, Cheng Liu, Wei Zheng, Miaoqing Xu, Xiao Chen, Jing Yang, Qiancheng Lv, and Bingbo Gao
Earth Syst. Sci. Data, 14, 3489–3508, https://doi.org/10.5194/essd-14-3489-2022,https://doi.org/10.5194/essd-14-3489-2022, 2022
Short summary
A high-resolution inland surface water body dataset for the tundra and boreal forests of North America
Yijie Sui, Min Feng, Chunling Wang, and Xin Li
Earth Syst. Sci. Data, 14, 3349–3363, https://doi.org/10.5194/essd-14-3349-2022,https://doi.org/10.5194/essd-14-3349-2022, 2022
Short summary
A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan
Amy McNally, Jossy Jacob, Kristi Arsenault, Kimberly Slinski, Daniel P. Sarmiento, Andrew Hoell, Shahriar Pervez, James Rowland, Mike Budde, Sujay Kumar, Christa Peters-Lidard, and James P. Verdin
Earth Syst. Sci. Data, 14, 3115–3135, https://doi.org/10.5194/essd-14-3115-2022,https://doi.org/10.5194/essd-14-3115-2022, 2022
Short summary
HOTRUNZ: an open-access 1 km resolution monthly 1910–2019 time series of interpolated temperature and rainfall grids with associated uncertainty for New Zealand
Thomas R. Etherington, George L. W. Perry, and Janet M. Wilmshurst
Earth Syst. Sci. Data, 14, 2817–2832, https://doi.org/10.5194/essd-14-2817-2022,https://doi.org/10.5194/essd-14-2817-2022, 2022
Short summary

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.
Download
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.
Altmetrics
Final-revised paper
Preprint