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Operational Wave Modelling in the Adriatic Sea with the Wind Wave Model

  • Mathieu Dutour Sikirić
  • Damir Ivanković
  • Aron Roland
  • Stjepan Ivatek-Šahdan
  • Martina Tudor
Article
  • 37 Downloads

Abstract

The accurate modelling of sea surface gravity waves is essential for accurate oceanic forecasting with high sea waves being a major concern for navigation and coastal activities. It is also very important for oceanic modelling, with the wave input being key to the accurate modelling of oceanic surface stress, sediment resuspension, and also to oceanic current modelling. In the Croatian Meteorological Institute, we have implemented the Wind Wave Model III as an operational model. The wind forcing used is based on the numerical weather prediction model ALADIN/HR. The model uses near-surface winds dynamically adapted to 2 km grid spacing over the 3-day forecast range. The boundary condition at the Otranto Strait is obtained from the WAM model forecasts computed at ECMWF. The model setup uses an unstructured grid to make the forecasts. The numerical modellization uses an implicit scheme that we describe. We found an underestimate of significant wave height by 8 cm, an absolute error of 21 cm and a correlation of 91% on comparing with the altimeter of the SARAL satellite. Comparison with wave radar and buoys show no underestimate and smaller absolute errors.

Keywords

Implicit scheme altimeter buoy wave radar 

Notes

Acknowledgements

We thank the project Copernicus for making available buoy wave measurements and Ifremer for collecting the altimeter data from the satellites. We thank the project HAZADR (IPA Adriatic Cross-border Cooperation 2007–2013) for financing the installation of the HF radar. Part of the work presented in the paper was done under the frame of project Ecological response of northern Adriatic to climatic changes and anthropogenic impact (EcoRENA) by Croatian science Foundation. We thank the referees for careful reading and Fabrice Ardhuin for help with the altimeter.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Rudjer Bošković InstituteZagrebCroatia
  2. 2.Institute of Oceanography and FisheriesSplitCroatia
  3. 3.BGS IT&E GMBHDarmstadtGermany
  4. 4.Državni hidrometeorološki zavodZagrebCroatia

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