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Evaluation and intercomparison of GHRSST formatted products at a global scale

Authors: González-Haro, Cristina;

Evaluation and intercomparison of GHRSST formatted products at a global scale

Abstract

GHRSST Talk Abstract Sea Surface Temperature (SST) plays an important role in the production of satellite based Sea Surface Salinity (SSS) observations. On the one hand, it is used as an auxiliary parameter for SSS retrieval from brightness temperature to produce L2 and L3 datasets. On the other hand, it is used as a template to increase spatial resolution using multifractal fusion techniques (L4 product). Traditionally, Soil Moisture and Ocean Salinity (SMOS) SSS datasets produced at the Barcelona Expert Center were based on OSTIA SST product. In this work, we revisit this selection and assess different sources of satellite-derived SST products. The assessment will consist of: a) comparison with in situ data (ARGO floats); b) performing a correlated triple collocation analysis [González- Gambau et al., 2020] between the different products to decide which one presents the lower uncertainty; c) spectral and singularity analysis to assess the spatial resolution of each SST product [Hoareau et al. 2018]. Speaker’s profile Cristina Gonzalez Haro is a member of the GHRSST Science Team. Dr. González Haro received the M.Sc and Ph.D degrees in 2010 and 2015, respectively, from the Universitat Politècnica de Catalunya (UPC). Dr. González-Haro research interests include Ocean Remote Sensing, with special emphasis in the exploitation of remote sensing data to study and investigate the dynamics of the ocean’s upper layers. Find out more: https://www.ghrsst.org/meetings/ghrsst-talk-with-cristina-gonzalez-haro-16-february-2022/

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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