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Inference of super-resolution ocean pCO2 and air-sea CO2 fluxes from non-linear and multiscale processing methods

Ismael Hernandez-Carrasco 1, * J. Sudre 2, 3 Veronique Garçon 2, 3 Hussein Yahia 4 Boris Dewitte 5 Christoph Garbe 6 Serena Illig 1 Ivonne Montes 7 I. Dadou 2 Aurélien Paulmier 2 André Butz 8
* Corresponding author
1 LEGOS NOUMEA - Laboratoire d'Etudes en Géophysique et Océanographie Spatiales
2 LEGOS - Laboratoire d'études en Géophysique et océanographie spatiales
3 DYNBIO LEGOS
LEGOS - Laboratoire d'études en Géophysique et océanographie spatiales
4 GeoStat - Geometry and Statistics in acquisition data
Inria Bordeaux - Sud-Ouest
5 ECOLA - Echanges Côte-Large
LEGOS - Laboratoire d'études en Géophysique et océanographie spatiales
6 Image Processing and Modeling
IWR - Interdisciplinary Center for Scientific Computing
7 GEOMAR - GEOMAR - Helmholtz Centre for Ocean Research [Kiel]
8 KIT - Karlsruhe Institute of Technology
Abstract : 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 of Namibia.
Complete list of metadatas
https://hal.inria.fr/hal-00942351
Contributor : H. Yahia <>
Submitted on : Thursday, February 6, 2014 - 10:13:05 AM
Last modification on : Wednesday, April 8, 2020 - 1:49:32 AM

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  • HAL Id : hal-00942351, version 1

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ECOLA | OMP-LEGOS | OMP | DYNBIO | SYSCO2 | CNRS | INRIA | TDS-MACS | UNIV-TLSE3 | INSU

Citation

Ismael Hernandez-Carrasco, J. Sudre, Veronique Garçon, Hussein Yahia, Boris Dewitte, et al.. Inference of super-resolution ocean pCO2 and air-sea CO2 fluxes from non-linear and multiscale processing methods. EGU General Assembly 2014, European Geophysical Union, Apr 2014, Vienna, Austria. ⟨hal-00942351⟩

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