On the ability of statistical wind-wave models to capture the variability and long-term trends of the North Atlantic winter wave climate

• Published in: Ocean Modelling
• Main Authors: Martínez-Asensio, Adrián, Marcos, Marta, Tsimplis, M. N., Jordá, Gabriel, Gomis, Damià
• Other Authors: Agencia Estatal de Meteorología (España), Consejo Superior de Investigaciones Científicas (España), Ministerio de Economía y Competitividad (España), Ministerio de Ciencia e Innovación (España)
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Elsevier 2016
• Subjects: Climate change; North Atlantic; Dynamical downscaling; Statistical downscaling; Wave climate; Marcos; Martínez
• Online Access: http://hdl.handle.net/10261/152564; https://doi.org/10.1016/j.ocemod.2016.02.006; https://doi.org/10.13039/501100003339; https://doi.org/10.13039/501100003329; https://doi.org/10.13039/501100004837

A dynamical wind-wave climate simulation covering the North Atlantic Ocean and spanning the whole 21st century under the A1B scenario has been compared with a set of statistical projections using atmospheric variables or large scale climate indices as predictors. As a first step, the performance of...