English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/185325
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


Fine-scale thermohaline ocean structure retrieved with 2D Pre-stack full-waveform inversion of multichannel seismic data: Application to the Gulf of Cadiz

AuthorsDagnino, D. ; Sallarès, Valentí ; Biescas, Berta ; Ranero, César R.
Issue Date13-Apr-2018
PublisherEuropean Geosciences Union
CitationGeophysical Research Abstracts 20: EGU2018-18031 (2018)
AbstractIn this work we present a 2D time-domain, adjoint-state acoustic full-waveform inversion to retrieve high-resolution models of ocean physical parameters such as sound speed, temperature and salinity. The proposed method is first described and then applied to pre-stack multi-channel seismic (MCS) data acquired in the Gulf of Cadiz (SW Iberia) in 2007 in the framework of the Geophysical Oceanography project. The inversion strategy flow includes specifically-designed data pre-conditioning for acoustic noise reduction, followed by the inversion of sound speed in the shotgather domain. We show that the final sound speed model has a horizontal resolution of∼70m, which is two orders of magnitude better than that of the initial model constructed with coincident eXpend-able Bathy Thermograph (XBT) data, and close to the theoretical resolution of O (λ). Temperature (T) and salinity(S) are retrieved with the same lateral resolution as sound speed by combining the inverted sound speed model with the thermodynamic equation of seawater and a local, depth-dependent T-S relation derived from regional conductivity-temperature-depth (CTD) measurements of the National Oceanic and Atmospheric Administration database. The comparison of the inverted T and S models with XBT and CTD casts deployed simultaneously to the MCS acquisition shows that the thermohaline contrasts are resolved with an accuracy of0.18oCfor temperatureand0.08PSUfor salinity. The combination of oceanographic and MCS data into a common, pseudo-automatic inversion scheme allows to quantitatively resolve submeso-scale features that ought to be incorporated into larger-scale ocean models of ocean’s structure and circulation
DescriptionEuropean Geosciences Union (EGU) General Assembly 2018, 8-13 April 2018, Vienna, Austria.-- 1 page
Publisher version (URL)https://meetingorganizer.copernicus.org/EGU2018/pico/28015
Identifiersissn: 1607-7962
Appears in Collections:(ICM) Artículos
Files in This Item:
File Description SizeFormat 
Dagnino_et_al_2018.pdf21,71 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.