A Global Ocean Wave (GOW) calibrated reanalysis from 1948 onwards

Wind wave reanalyses have become a valuable source of information for wave climate research and ocean and coastal applications over the last decade. Nowadays, wave reanalyses databases generated with third generation models provide useful wave climate information to complement, both in time and spac...

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Bibliographic Details
Authors: González Reguero, Borja, Menéndez García, Melisa|||0000-0002-7269-5476, Méndez Incera, Fernando Javier|||0000-0002-5005-1100, Mínguez Solana, Roberto, Losada Rodríguez, Iñigo|||0000-0002-9651-9709
Format: article
Publication Date:2012
Country:España
Institution:Universidad de Cantabria (UC)
Repository:UCrea Repositorio Abierto de la Universidad de Cantabria
Language:English
OAI Identifier:oai:repositorio.unican.es:10902/35311
Online Access:https://hdl.handle.net/10902/35311
Access Level:Open access
Keyword:Waves
Wave climate
Reanalysis
Validation
Calibration
Outliers
Description
Summary:Wind wave reanalyses have become a valuable source of information for wave climate research and ocean and coastal applications over the last decade. Nowadays, wave reanalyses databases generated with third generation models provide useful wave climate information to complement, both in time and space, the instrumental measurements (buoys and alimetry observations). In this work, a new global wave reanalysis (GOW) from 1948 onwards is presented. GOW dataset is intended to be periodically updated and it is based on a calibration of a model hindcast with satellite altimetry data, after verification against historical data. The outliers due to tropical cyclones (not simulated due to insufficient resolution in the wind forcing) are identified and not taken into account in the process to correct the simulated wave heights with the altimeter data. The results are validated with satellite measurements in time and space. This new calibrated database represents appropriately the wave climate characteristics since 1948 and aims to be the longest and up-to-date wave dataset for global wave climate variability analysis as well as for many coastal engineering applications.