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dc.contributor.authorLira Loarca, Andrea
dc.contributor.authorBerg, Peter
dc.contributor.authorBaquerizo Azofra, Asunción 
dc.contributor.authorBesio, Giovanni
dc.date.accessioned2023-05-15T07:18:42Z
dc.date.available2023-05-15T07:18:42Z
dc.date.issued2023-03-24
dc.identifier.citationLira Loarca, A., Berg, P., Baquerizo, A. et al. On the role of wave climate temporal variability in bias correction of GCM-RCM wave simulations. Clim Dyn (2023). [https://doi.org/10.1007/s00382-023-06756-0]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/81529
dc.description.abstractThis work presents the performance analysis of a multi-model ensemble of wave climate projections in the Mediterranean Sea against hindcast data. The wave projections were developed with the numerical model Wavewatch III forced by surface wind fields of 17 EURO-CORDEX GCM-RCMs providing time series of the main wave parameters on a 3-h and 10-km resolution. The performance of the wave GCM-RCM simulations during the baseline period (1979–2005) was assessed by means of the deterministic metrics RMSE and Bias. Different bias correction methodologies were analyzed by means of the application of the widespread Empirical Quantile Mapping method considering different time periods of significant wave height in order to analyze the ability of the bias-correcting methods to capture the different wave climate temporal scales ranging from storm events, monthly, seasonal and interannual variability. The results show that the use of the EQM method for the full-time series without taking into account other timescales, can lead to increased biases in some regions and seasons and that the use of time-dependent bias-correction techniques leads to an improved accurate characterization of biases considering the interannual temporal variability of significant wave height. More specifically the use of the EQM method for monthly data provides a good performance in capturing the correlation and interannual temporal variability of wave climate.es_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBias-correctiones_ES
dc.subjectWaves es_ES
dc.subjectEqmes_ES
dc.titleOn the role of wave climate temporal variability in bias correction of GCM‑RCM wave simulationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1007/s00382-023-06756-0
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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