Articles | Volume 5, issue 4
https://doi.org/10.5194/os-5-447-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/os-5-447-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
26 Oct 2009
The multifractal structure of satellite sea surface temperature maps can be used to obtain global maps of streamlines
A. Turiel
Institut de Ciències del Mar, CSIC, Barcelona, Spain
V. Nieves
Institut de Ciències del Mar, CSIC, Barcelona, Spain
E. Garcia-Ladona
Institut de Ciències del Mar, CSIC, Barcelona, Spain
J. Font
Institut de Ciències del Mar, CSIC, Barcelona, Spain
M.-H. Rio
CLS – Space Oceanography Division, Toulouse, France
G. Larnicol
CLS – Space Oceanography Division, Toulouse, France
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- Improving time and space resolution of SMOS salinity maps using multifractal fusion E. Olmedo et al. 10.1016/j.rse.2016.02.038
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- Operational assimilation of glider temperature and salinity for an improved description of the Cyprus eddy D. Hayes et al. 10.1016/j.dsr2.2019.05.015
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- Application of Phenomena‐Resolving Assessment Methods to Satellite Sea Surface Salinity Products S. Bao et al. 10.1029/2020EA001410
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- Debiased non-Bayesian retrieval: A novel approach to SMOS Sea Surface Salinity E. Olmedo et al. 10.1016/j.rse.2017.02.023
- Quality assessment of spaceborne sea surface salinity observations over the northern North Atlantic J. Köhler et al. 10.1002/2014JC010067
- On the potential of data assimilation to generate SMOS-Level 4 maps of sea surface salinity N. Hoareau et al. 10.1016/j.rse.2013.10.005
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- Upper-Bound General Circulation of the Ocean: A Theoretical Exposition H. Ou 10.3390/jmse9101090
- Remote sensing of ocean surface currents: a review of what is being observed and what is being assimilated J. Isern-Fontanet et al. 10.5194/npg-24-613-2017
- Synergy between Ocean Variables: Remotely Sensed Surface Temperature and Chlorophyll Concentration Coherence M. Umbert et al. 10.3390/rs12071153
- New blending algorithm to synergize ocean variables: The case of SMOS sea surface salinity maps M. Umbert et al. 10.1016/j.rse.2013.09.018
- Scaling Analysis of Ocean Surface Turbulent Heterogeneities from Satellite Remote Sensing: Use of 2D Structure Functions P. Renosh et al. 10.1371/journal.pone.0126975
- Sensibility to noise of new multifractal fusion methods for ocean variables A. Turiel et al. 10.5194/npg-21-291-2014
- Singularity analysis of digital signals through the evaluation of their unpredictable point manifold O. Pont et al. 10.1080/00207160.2012.748895
- Intermittent particle dynamics in marine coastal waters P. Renosh et al. 10.5194/npg-22-633-2015
- Exploring the synergy between along-track altimetry and tracer fronts to reconstruct surface ocean currents F. Nencioli & G. Quartly 10.1016/j.rse.2018.04.036
- A performance evaluation of remotely sensed sea surface salinity products in combination with other surface measurements in reconstructing three-dimensional salinity fields J. Chen et al. 10.1007/s13131-017-1079-y
- Nodal Sampling: A New Image Reconstruction Algorithm for SMOS V. Gonzalez-Gambau et al. 10.1109/TGRS.2015.2499324
- Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation R. Lguensat et al. 10.3390/rs11070858
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