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Recolector de Ciencia Abierta, RECOLECTA
Part of book or chapter of book . 2008 . Peer-reviewed
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https://doi.org/10.1109/igarss...
Article . 2008 . Peer-reviewed
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Contributions to the Improvement of the SMOS Level 2 Retrieval Algorithm: Optimization of the Cost Function

Authors: Marco Talone; Adriano Camps; Carolina Gabarró; Roberto Sabia; Jérôme Gourrion; Mercè Vall-Llossera; Baptiste Mourre; +1 Authors

Contributions to the Improvement of the SMOS Level 2 Retrieval Algorithm: Optimization of the Cost Function

Abstract

A few months before the foreseen SMOS launch date (first half of 2009), the interests of the scientists working on the Ocean Salinity Level 2 definition are mainly focused on improving the accuracy of the retrieval algorithm. The algorithm used is based on an iterative procedure in which a >cost function>, that relates models, measurements, and auxiliary data, is minimized. For this reason most of the efforts are currently centered in the analysis and the optimization of the cost function. Within this frame, the study proposed represents a contribution to assess one of the pending issues in the definition of the cost function: The optimal weight to give to the MIRAS measurements. To do this a set of simulations have been run using: - The Ocean PArallelise (OPA) Model [1] as source of geophysical parameters; - The SMOS End-to-end Performance Simulator (SEPS) [2] as source of synthetic SMOS-like brightness temperatures imagery; - SMOS-Level2 Processor Simulator (SMOS-L2PS) [3] to perform the retrieval. Results are presented and discussed

IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2008), 7-11 July 2008, Boston, Massachusetts, U.S.A.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
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