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Verfasst von:Hernández-Carrasco, Ismael [VerfasserIn]   i
 Garçon, Véronique [VerfasserIn]   i
 Sudre, Jöel [VerfasserIn]   i
 Garbe, Christoph S. [VerfasserIn]   i
 Yahia, Hussein [VerfasserIn]   i
Titel:Increasing the resolution of ocean pCO2 maps in the South Eastern Atlantic ocean merging multifractal satellite-derived ocean variables
Verf.angabe:I. Hernández-Carrasco, V. Garçon, J. Sudre, C. Garbe, H. Yahia
E-Jahr:2018
Jahr:October 25 2018
Umfang:15 S.
Fussnoten:Im Titel ist „2“ tiefgestellt ; Date of current version October 25 2018 ; Gesehen am 24.09.2019
Titel Quelle:Enthalten in: Institute of Electrical and Electronics EngineersIEEE transactions on geoscience and remote sensing
Ort Quelle:New York, NY : IEEE, 1964
Jahr Quelle:2018
Band/Heft Quelle:56(2018), 11, Seite 6596-6610
Abstract:A new methodology has been developed in order to improve the description of the spatial and temporal variability of not well-resolved oceanic variables from other well-observed high-resolution oceanic variables. The method is based on the cross-scale inference of information, incorporating the common features of different multifractal high-resolution variables into a coarser one. An exercise of validation of the methodology has been performed based on the outputs of coupled physical-biogeochemical Regional Ocean Modeling System adapted to the eastern boundary upwelling systems at two spatial resolutions. Once the algorithm has been proved to be effective in increasing the spatial resolution of modeled partial pressure of CO2at the surface ocean (pCO2), we have investigated the capability of our methodology when it is applied to remote sensing data, focusing on the improvement of the temporal description. In this regard, we have inferred daily pCO2maps at high resolution (4 km, i.e., 1/24°) fusing monthly pCO2data at low resolution (100 km, i.e., 1°) with the small-scale features contained in daily high-resolution maps of satellite sea surface temperature and Chlorophyll-a. The algorithm has been applied to the South Eastern Atlantic Ocean opening the possibility to obtain an accurate quantification of the CO2fluxes in relevant coastal regions, such as the eastern boundary upwelling systems. Outputs of our algorithm have been compared with in situ measurements, showing that daily maps inferred from monthly products are in average 6 μatm closer to the in situ values than the original coarser monthly maps. Furthermore, values of pCO2have been improved in points close to the coast with respect to the original input data.
DOI:doi:10.1109/TGRS.2018.2840526
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1109/TGRS.2018.2840526
 DOI: https://doi.org/10.1109/TGRS.2018.2840526
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Carbon compounds
 Chaos
 Chlorophyll-a
 CO2
 CO₂
 CO2fluxes
 Coastal regions
 Coupled physical-biogeochemical Regional Ocean Modeling System
 Eastern boundary upwelling systems
 Fractals
 Fronts
 Geophysical signal processing
 Multifractal satellite-derived ocean variables
 Multifractality
 Nonlinear dynamical systems
 Ocean composition
 Ocean pCO2map
 Ocean temperature
 Ocean temperature
 Oceanographic regions
 Oceanographic techniques
 Remote sensing
 Remote sensing data
 Satellite image reconstruction
 Satellite sea surface temperature
 Satellites
 Sea measurements
 Sea surface
 Sea-air interface
 Singularity exponents
 South Eastern Atlantic Ocean
 Spatial resolution
 Surface ocean
 Upwelling systems
 Wavelet transforms
K10plus-PPN:1677586672
Verknüpfungen:→ Zeitschrift

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