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OS | Articles | Volume 15, issue 2
Ocean Sci., 15, 249–268, 2019
https://doi.org/10.5194/os-15-249-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Coastal modelling and uncertainties based on CMEMS products

Ocean Sci., 15, 249–268, 2019
https://doi.org/10.5194/os-15-249-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 13 Mar 2019

Research article | 13 Mar 2019

A multi-collocation method for coastal zone observations with applications to Sentinel-3A altimeter wave height data

Johannes Schulz-Stellenfleth and Joanna Staneva
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Cited articles  
Alari, V., Staneva, J., Breivik, O., Bidlot, J.-R., Mogensen, K., and Janssen, P.: Surface wave effects on water temperature in the Baltic Sea: simulations with the coupled NEMO-WAM model, Ocean Dynam., 66, 917–930, https://doi.org/10.1007/s10236-016-0963-x, 2016. a
Anderson, G., Carse, F., Turton, J., and Saulter, A.: Quantification of bias of wave measurements from lightvessels, J. Oper. Oceanogr., 9, 93–102, https://doi.org/10.1080/1755876X.2016.1239242, 2016. a, b
Bidlot, J. and Holt, M.: Verification of operational global and regional wave forecasting systems against measurements from moored buoys, JCOMM Technical Report 30, WMO & IOC, Geneva, Switzerland, available at: http://hdl.handle.net/11329/101 (last access: 28 February 2019), 2006. a
Bidlot, J.-R., Holmes, D. J., Wittmann, P. A., Lalbeharry, R., and Chen, H. S.: Intercomparison of the performance of operational ocean wave forecasting systems with buoy data, Weather Forecast., 17, 287–310, https://doi.org/10.1175/1520-0434(2002)017<0287:IOTPOO>2.0.CO;2, 2002. a
Boukhanovsky, A., Lopatoukhin, L., and Soares, G.: Spectral wave climate of the North Sea, Appl. Ocean Res., 29, 146–154, https://doi.org/10.1016/j.apor.2007.08.004, 2007. a
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Errors of observations and numerical model data are analysed with a focus on heterogeneous coastal areas. An extension of the triple collocation method is proposed, which takes into account gradients in the collocation of datasets separated by distances which may not be acceptable for a nearest-neigbour approximation, but still be feasible for linear or higher order interpolations. The technique is applied to wave height data from in situ stations, models, and the Sentinel-3A altimeter.
Errors of observations and numerical model data are analysed with a focus on heterogeneous...
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