English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/97541
Compartir / Impacto:
Estadísticas
Add this article to your Mendeley library MendeleyBASE
Citado 10 veces en Web of Knowledge®  |  Ver citas en Google académico
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Título

New blending algorithm to synergize ocean variables: The case of SMOS sea surface salinity maps

AutorUmbert, Marta ; Hoareau, Nina ; Turiel, Antonio ; Ballabrera-Poy, Joaquim
Palabras claveMultifractal
Wavelet analysis
Singularity analysis
Physical oceanography
Data merging
Data fusion
Remote sensing
Fecha de publicaciónabr-2014
EditorElsevier
CitaciónRemote Sensing of Environment 146: 172-187 (2014)
ResumenUsing the information of an ocean variable of a given kind to improve another variable of a different kind may be a challenging task, especially when they undergo different physical processes. Statistical methods and assimilation in numerical models had been so far the main ways to perform this type of blending, but these are relatively complicated methods that usually introduce other sources of error and uncertainty. In this paper, the existence of a multifractal hierarchy pervading the structure of all ocean scalars is exploited to introduce a new blending method. This method is not parametric and requires no knowledge about the physics governing the evolution of the scalars, provided that both scalars have the same multifractal structure. We have applied this methodology to SMOS SSS maps, using OI SST maps as template variables, observing not only a qualitative but also a significant quantitative improvement. © 2013 Elsevier Inc.
Descripción16 pages, 13 figures
Versión del editorhttp://dx.doi.org/10.1016/j.rse.2013.09.018
URIhttp://hdl.handle.net/10261/97541
DOI10.1016/j.rse.2013.09.018
Identificadoresdoi: 10.1016/j.rse.2013.09.018
issn: 0034-4257
e-issn: 1879-0704
Aparece en las colecciones: (ICM) Artículos
Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro completo
 



NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.