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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 (BEC) were based on OSTIA SST product. In this work, we revisit this election and assess different sources of satellite-derived SST products.

The assessment consists of:

a) a comparison with in situ data (ARGO floats);

b) a correlated triple collocation analysis performed 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.

Our speaker

Cristina Gonzalez Haro is a member of the 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. Sensing, with special emphasis in the exploitation of remote sensing data to study and investigate the dynamics of the ocean’s upper layers.

Structure of this GHRSST talk

A time slot of 45 minutes:

• Short introduction on GHRSST and the speaker,

• 20 minutes science talk,

• 20 minutes Q&A with the speaker.

Recording

By registering to this event, you consent to the recording of the webinar.

Recording and slides will be made available after the talk.

Evaluation & intercomparison of GHRSST specified products at a global scal