Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/97541
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Umbert, Marta | - |
dc.contributor.author | Hoareau, Nina | - |
dc.contributor.author | Turiel, Antonio | - |
dc.contributor.author | Ballabrera-Poy, Joaquim | - |
dc.date.accessioned | 2014-06-02T10:36:18Z | - |
dc.date.available | 2014-06-02T10:36:18Z | - |
dc.date.issued | 2014-04 | - |
dc.identifier | doi: 10.1016/j.rse.2013.09.018 | - |
dc.identifier | issn: 0034-4257 | - |
dc.identifier | e-issn: 1879-0704 | - |
dc.identifier.citation | Remote Sensing of Environment 146: 172-187 (2014) | - |
dc.identifier.uri | http://hdl.handle.net/10261/97541 | - |
dc.description | 16 pages, 13 figures | - |
dc.description.abstract | Using 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. | - |
dc.description.sponsorship | M. Umbert is funded by a FPI grant from the Spanish Ministry of Economy. This work has been funded by the Spanish Ministry of Economy through the National R+D Plan by means of MIDAS-7 project AYA2012-39356-C05-03, MIDAS-6 project AYA2010-22062-C05 and previous grants | - |
dc.publisher | Elsevier | - |
dc.rights | closedAccess | - |
dc.subject | Multifractal | - |
dc.subject | Wavelet analysis | - |
dc.subject | Singularity analysis | - |
dc.subject | Physical oceanography | - |
dc.subject | Data merging | - |
dc.subject | Data fusion | - |
dc.subject | Remote sensing | - |
dc.title | New blending algorithm to synergize ocean variables: The case of SMOS sea surface salinity maps | - |
dc.type | artículo | - |
dc.identifier.doi | 10.1016/j.rse.2013.09.018 | - |
dc.relation.publisherversion | https://doi.org/10.1016/j.rse.2013.09.018 | - |
dc.date.updated | 2014-06-02T10:36:18Z | - |
dc.description.version | Peer Reviewed | - |
dc.language.rfc3066 | eng | - |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.openairetype | artículo | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
Aparece en las colecciones: | (ICM) Artículos |
CORE Recommender
SCOPUSTM
Citations
32
checked on 31-mar-2024
WEB OF SCIENCETM
Citations
26
checked on 28-feb-2024
Page view(s)
296
checked on 19-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.