English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  A first estimation of SMOS-based ocean surface T-S diagrams

Sabia, R., Klockmann, M., Fernández-Prieto, D., & Donlon, C. (2014). A first estimation of SMOS-based ocean surface T-S diagrams. Journal of Geophysical Research - Oceans, 119, 7357-7371. doi:10.1002/2014JC010120.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-609F-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-E815-E
Genre: Journal Article

Files

show Files
hide Files
:
jgrc20919.pdf (Publisher version), 2MB
View   Save
File Permalink:
https://hdl.handle.net/11858/00-001M-0000-0024-60A1-E
Name:
jgrc20919.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Sabia, Roberto, Author
Klockmann, Marlene1, 2, Author
Fernández-Prieto, Diego, Author
Donlon, Craig, Author
Affiliations:
1IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913547              
2Ocean Physics, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913557              

Content

show
hide
Free keywords: -
 Abstract: A first estimation of satellite-based ocean surface T-S diagrams is performed by using SMOS Sea Surface Salinity (SSS) and OSTIA Sea Surface Temperature (SST) and comparing them with in situ measurements interpolated fields obtained by the Argo-buoys for the North Atlantic and over the entire year 2011. The key objectives at the base of this study are: (1) To demonstrate the feasibility of generating routinely satellite-derived surface T-S diagrams, obviating the lack of extensive sampling of the surface open ocean, (2) To display the T-S diagrams variability and the distribution/dynamics of SSS, altogether with SST and the relative density with respect to in situ measurements, and (3) To assess the SMOS SSS data added value in detecting geophysical signals not sensed/resolved by the Argo measurements. To perform the latter analysis, the satellite-Argo mismatches have been overlapped with geophysical parameters of precipitation rates, surface heat and freshwater fluxes and wind speed data. Ongoing and future efforts focus on enlarging the study area and the temporal frame of the analysis and aim at developing a method for the systematic identification of surface water masses formation areas by remotely sensed data.

Details

show
hide
Language(s): eng - English
 Dates: 2014-102014-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/2014JC010120
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Geophysical Research - Oceans
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Hoboken, NJ : Wiley
Pages: - Volume / Issue: 119 Sequence Number: - Start / End Page: 7357 - 7371 Identifier: Other: 2169-9291
CoNE: https://pure.mpg.de/cone/journals/resource/2169-9291