DocumentCode
2662209
Title
Towards an ocean salinity error budget estimation within the SMOS mission
Author
Sabia, Roberto ; Camps, Adriano ; Vall-llossera, Mercè ; Talone, Marco ; Font, Jordi
Author_Institution
Univ. Polytech. de Catalunya, Barcelona
fYear
2007
fDate
23-28 July 2007
Firstpage
38
Lastpage
41
Abstract
The SMOS (Soil Moisture and Ocean Salinity) mission will provide from 2008 onwards global sea surface salinity estimations over the oceans. This work summarizes several insights gathered in the framework of salinity retrieval studies, aimed to address an overall salinity error budget. The paper covers issues ranging from the impact of auxiliary data on SSS error to the potential exploitation of GNSS-R signals as surface´s roughness descriptor, and establishes several guidelines to approach a quasi-realistic post-launch retrieval scenario. Having defined a retrieval setup, an error budget scheme has been built, listing the different contributions to the final retrieved SSS error. On-going activities refer to the fulfillment of the pending issues of the error budget, which are mostly relevant to residual bias mitigation techniques, and Sun and Faraday rotation effect characterization.
Keywords
error analysis; oceanography; remote sensing; AD 2008; Faraday rotation effect characterization; GNSS-R signals; Global Navigation Satellite System-Reflectometry; Soil Moisture and Ocean Salinity Mission; error budget scheme; global sea surface salinity estimations; ocean salinity error budget estimation; ocean surface roughness descriptor; residual bias mitigation techniques; salinity retrieval studies; Estimation error; Guidelines; Information retrieval; Ocean salinity; Rough surfaces; SMOS mission; Sea surface; Sea surface salinity; Sun; Surface roughness;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4422724
Filename
4422724
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