ANEMOC - Digital Atlas of Oceanic and Coastal Sea States

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Provided by Cerema

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Dataset information

Country of origin
Updated
2024.12.09 08:45
Created
2024.12.04
Available languages
English
Keywords
milieux-marins, caracteristiques-geographiques-oceanographiques, donnees-ouvertes
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Dataset description

The ANEMOC (Atlas of Oceanic and Coastal Sea States) model is a continuous database of sea states carried out by retrospective simulations. The dataset consists of several datasets with different rights-of-way and characteristics. **Datasets present consist only of simulation points.**&#x20; **The simulation results on these points are available, on request, from****<anemoc.prel.drel.dtecrem.cerema@cerema.fr>** by mesh points and time series in hourly step for the following parameters: significant spectral height, average direction, average directional spread, average energy period, average period and peak period. **Please note that this data comes from numerical simulations and should not be used for the design of structures. They are provided as an indication and are to be completed with in-situ measures.** ### Usage Knowledge of the swell regime, and more broadly of offshore and coastal sea states, is important in many areas: * coastal risks (PPR, marine submersions, wave action, natural disasters); - the study of climate change and its impact on the coastline&#x20; * Coastal morphodynamics and coastline monitoring * sizing of port and coastal structures&#x20; * navigation safety&#x20; * marine renewable energies ... ### Description of the different datasets | Emprise | Covered Period | |:---------------- |:-------------------------------------------------------------------------------------------------- | Atlantic Channel | 1979 to 2002 | | Mediterranean | 1979 to 2010 | | Meeting | 1979 to 2011 | | West Indies | 1979 to 2012 | ### Origin Simulations performed with the third generation spectral code TOMAWAC V6P1, (Benoit et al., 1996), part of the TELEMAC-MASCARET system. This base is the result of a collaboration between Cerema and EDF R\&D-LNHE.
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2019
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