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| Titel |
Inference of super-resolution ocean pCO2 and air-sea CO2 fluxes from non-linear and multiscale processing methods |
| VerfasserIn |
Ismael Hernández-Carrasco, Joel Sudre, Véronique Garçon, Hussein Yahia, Boris Dewitte, Christoph Garbe, Serena Illig, Ivonne Montes, Isabelle Dadou, Aurélien Paulmier, André Butz |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250099371
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| Publikation (Nr.) |
 EGU/EGU2014-15142.pdf |
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| Zusammenfassung |
| In recent years the role of submesoscale activity is emerging as being more and more
important to understand global ocean properties, for instance, for accurately estimating the
sources and sinks of Greenhouse Gases (GHGs) at the air-sea interface. The scarcity of
oceanographic cruises and the lack of available satellite products for GHG concentrations at
high resolution prevent from obtaining a global assessment of their spatial variability at small
scales. In this work we develop a novel method to reconstruct maps of CO2 fluxes at super
resolution (4km) using SST and ocean colour data at this resolution, and CarbonTracker CO2
fluxes data at low resolution (110 km). The responsible process for propagating
the information between scales is related to cascading properties and multiscale
organization, typical of fully developed turbulence. The methodology, based on the
Microcanonical Multifractal Formalism, makes use, from the knowledge of singularity
exponents, of the optimal wavelet for the determination of the energy injection
mechanism between scales. We perform a validation analysis of the results of our
algorithm using pCO2 ocean data from in-situ measurements in the upwelling region off
Namibia. |
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