Buscar

Estamos realizando la búsqueda. Por favor, espere...

 Detalle_Publicacion

A Multiscale Approach to Shoreline Prediction

Abstract: Shorelines respond to a number of "drivers" operating on a variety of time-scales. For some time-scales (e.g., seasonal), the driver-shoreline relationship is often evident; however, at longer timescales (e.g., multiannual), the shoreline changes may be superimposed on changes at shorter time-scales and thus are diffcult to identify. Here, we predict shoreline evolution from storm events to decadal timescales, using a novel approach based on the Complete Ensemble Empirical Mode Decomposition. This approach identifies and links the primary time-scales in the model drivers (large-scale sea level pressure [SLP] and/or waves) with the same time-scales in the shoreline position. The multiscale approach reproduced shoreline changes at two beaches more skillfully than a common shoreline model when SLP and wave information were used in combination. In addition, the analysis can be applied to climate indices, providing the opportunity to link longer time-scales with climate patterns (e.g., El Niño Southern Oscillation).

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Fuente: Geophysical Research Letters, 2021, 48(1), e2020GL089263

Editorial: American Geophysical Union

 Fecha de publicación: 16/01/2021

Nº de páginas: 11

Tipo de publicación: Artículo de Revista

 DOI: 10.1029/2020GL090587

ISSN: 0094-8276,1944-8007

Autores/as

MONTAÑO, JENNIFER

COCO, GIOVANNI

LAURA CAGIGAL GIL

BRYAN, KARIN R.

HARLEY, MITCHELL D.