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Error Characterization of Sea Surface Salinity Products using Triple Collocation Analysis

AuthorsHoareau, Nina ; Portabella, Marcos ; Lin, Wenming ; Ballabrera-Poy, Joaquim ; Turiel, Antonio
Issue DateNov-2018
CitationInternational Conference on Marine Data and Information Systems (2018)
AbstractThe monitoring of the global distribution of sea surface salinity (SSS) is vital to understand the ocean’s role in the Earth’s climate. Until the advent of the spaceborne L-band radiometers, SSS observations were mainly acquired by in-situ sensors (moored buoys, drifters, and thermosalinographs). As a result, knowledge of the spatial and temporal variability of salinity has been scarce due to the lack of a comprehensive set of salinity observations. While in-situ data (e.g., Argo floats) were being used in a growing number of studies, numerical models were also widely used as a complementary source of such information. The spatiotemporal resolution achieved by satellite salinity measurements has no equivalent among the other existing salinity observations systems. Since the launch of the Soil Moisture and Ocean Salinity (SMOS) mission (2009) and then the Aquarius mission (2001), more than seven years of satellite-derived SSS data, with a spatial and temporal resolution adequate for climate and ocean general circulation studies, have become available. The L-band radiometers onboard SMOS and Aquarius have proven to be challenging and various spatial and temporal averaging and data fusion techniques have been implemented to better recover structured and meaningful geophysical information from remote sensing SSS retrievals. A comprehensive validation is therefore essential to characterize the information provided by the different salinity products
DescriptionInternational Conference on Marine Data and Information Systems (IMDIS 2018), 5-7 November 2018, Barcelona.-- 2 pages, 3 tables
Publisher version (URL)https://youtu.be/UDCeMQ0p-ro
Appears in Collections:(ICM) Comunicaciones congresos
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