Estamos realizando la búsqueda. Por favor, espere...
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).
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
Consultar en UCrea Leer publicación
LAURA CAGIGAL GIL
FERNANDO JAVIER MENDEZ INCERA
ANA CRISTINA RUEDA ZAMORA
BRYAN, KARIN R.
HARLEY, MITCHELL D.