Towards an estimation of water masses formation areas from SMOS-based TS diagrams

European Geosciences Union General Assembly 2014 (EGU2014), 27 april - 2 may 2014, Vienna, Austria.-- 2 pages Temperature-Salinity (TS) diagrams emphasize the mutual variability of ocean temperature and salinity values, relating them to the corresponding density. Canonically used in oceanography, th...

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Main Authors: Klockmann, Marlene, Sabia, Roberto, Fernández-Prieto, Diego, Donlon, C.J., Font, Josep
Format: Still Image
Language:unknown
Published: European Geosciences Union 2014
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Online Access:http://hdl.handle.net/10261/115135
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spelling ftcsic:oai:digital.csic.es:10261/115135 2024-02-11T10:08:34+01:00 Towards an estimation of water masses formation areas from SMOS-based TS diagrams Klockmann, Marlene Sabia, Roberto Fernández-Prieto, Diego Donlon, C.J. Font, Josep 2014-04-28 http://hdl.handle.net/10261/115135 unknown European Geosciences Union http://meetingorganizer.copernicus.org/EGU2014/posters/15292 Geophysical Research Abstracts 16: EGU2014-15423 (2014) http://hdl.handle.net/10261/115135 1607-7962 open póster de congreso http://purl.org/coar/resource_type/c_6670 2014 ftcsic 2024-01-16T10:07:15Z European Geosciences Union General Assembly 2014 (EGU2014), 27 april - 2 may 2014, Vienna, Austria.-- 2 pages Temperature-Salinity (TS) diagrams emphasize the mutual variability of ocean temperature and salinity values, relating them to the corresponding density. Canonically used in oceanography, they provide a means to characterize and trace ocean water masses. In [1], a first attempt to estimate surface-layer TS diagrams based on satellite measurements has been performed, profiting from the recent availability of spaceborne salinity data. In fact, the Soil Moisture and Ocean Salinity (SMOS, [2]) and the Aquarius/SAC-D [3] satellite missions allow to study the dynamical patterns of Sea Surface Salinity (SSS) for the first time on a global scale. In [4], given SMOS and Aquarius salinity estimates, and by also using Sea Surface Temperature (SST) from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA, [5]) effort, experimental satellite-based TS diagrams have been routinely derived for the year 2011. They have been compared with those computed from ARGO-buoys interpolated fields, referring to a customised partition of the global ocean into seven regions, according to the water masses classification of [6]. In [7], moreover, besides using TS diagrams as a diagnostic tool to evaluate the temporal variation of SST and SSS (and their corresponding density) as estimated by satellite measurements, the emphasis was on the interpretation of the geographical deviations with respect to the ARGO baseline (aiming at distinguishing between the SSS retrieval errors and the additional information contained in the satellite data with respect to ARGO). In order to relate these mismatches to identifiable oceanographic structures and processes, additional satellite datasets of ocean currents, evaporation/precipitation fluxes, and wind speed have been super-imposed. Currently, the main focus of the study deals with the exploitation of these TS diagrams as a prognostic tool to derive water masses formation areas. ... Still Image Sea ice Digital.CSIC (Spanish National Research Council)
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language unknown
description European Geosciences Union General Assembly 2014 (EGU2014), 27 april - 2 may 2014, Vienna, Austria.-- 2 pages Temperature-Salinity (TS) diagrams emphasize the mutual variability of ocean temperature and salinity values, relating them to the corresponding density. Canonically used in oceanography, they provide a means to characterize and trace ocean water masses. In [1], a first attempt to estimate surface-layer TS diagrams based on satellite measurements has been performed, profiting from the recent availability of spaceborne salinity data. In fact, the Soil Moisture and Ocean Salinity (SMOS, [2]) and the Aquarius/SAC-D [3] satellite missions allow to study the dynamical patterns of Sea Surface Salinity (SSS) for the first time on a global scale. In [4], given SMOS and Aquarius salinity estimates, and by also using Sea Surface Temperature (SST) from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA, [5]) effort, experimental satellite-based TS diagrams have been routinely derived for the year 2011. They have been compared with those computed from ARGO-buoys interpolated fields, referring to a customised partition of the global ocean into seven regions, according to the water masses classification of [6]. In [7], moreover, besides using TS diagrams as a diagnostic tool to evaluate the temporal variation of SST and SSS (and their corresponding density) as estimated by satellite measurements, the emphasis was on the interpretation of the geographical deviations with respect to the ARGO baseline (aiming at distinguishing between the SSS retrieval errors and the additional information contained in the satellite data with respect to ARGO). In order to relate these mismatches to identifiable oceanographic structures and processes, additional satellite datasets of ocean currents, evaporation/precipitation fluxes, and wind speed have been super-imposed. Currently, the main focus of the study deals with the exploitation of these TS diagrams as a prognostic tool to derive water masses formation areas. ...
format Still Image
author Klockmann, Marlene
Sabia, Roberto
Fernández-Prieto, Diego
Donlon, C.J.
Font, Josep
spellingShingle Klockmann, Marlene
Sabia, Roberto
Fernández-Prieto, Diego
Donlon, C.J.
Font, Josep
Towards an estimation of water masses formation areas from SMOS-based TS diagrams
author_facet Klockmann, Marlene
Sabia, Roberto
Fernández-Prieto, Diego
Donlon, C.J.
Font, Josep
author_sort Klockmann, Marlene
title Towards an estimation of water masses formation areas from SMOS-based TS diagrams
title_short Towards an estimation of water masses formation areas from SMOS-based TS diagrams
title_full Towards an estimation of water masses formation areas from SMOS-based TS diagrams
title_fullStr Towards an estimation of water masses formation areas from SMOS-based TS diagrams
title_full_unstemmed Towards an estimation of water masses formation areas from SMOS-based TS diagrams
title_sort towards an estimation of water masses formation areas from smos-based ts diagrams
publisher European Geosciences Union
publishDate 2014
url http://hdl.handle.net/10261/115135
genre Sea ice
genre_facet Sea ice
op_relation http://meetingorganizer.copernicus.org/EGU2014/posters/15292
Geophysical Research Abstracts 16: EGU2014-15423 (2014)
http://hdl.handle.net/10261/115135
1607-7962
op_rights open
_version_ 1790607956568440832