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https://doi.org/10.1109/igarss...
Article . 2019 . Peer-reviewed
License: IEEE Copyright
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Characterization and Correction of the Latitudinal and Seasonal Bias in BEC SMOS Sea Surface Salinity Maps

Authors: Estrella Olmedo; Ignasi Corbella; Verónica González-Gambau; Justino Martínez; Cristina González-Haro; Antonio Turiel; Marcos Portabella; +3 Authors

Characterization and Correction of the Latitudinal and Seasonal Bias in BEC SMOS Sea Surface Salinity Maps

Abstract

The quality of the Soil Moisture and Ocean Salinity (SMOS) Sea Surface Salinity (SSS) maps has been noticeably improved in the last two years, in particular those produced at the Barcelona Expert Center (BEC). However, the BEC SSS maps are still affected by a latitudinal and seasonal bias. In this work, we comprehensively characterize the residual latitudinal and seasonal biases, which are used to correct de retrieved SSS, leading to a new generation of higher-quality SSS maps. The shape and regularity of this bias suggests that the effect, which produces this error, is not a poor characterization of the galaxy, some residual Total Electron Content (TEC) effect, or a poor characterization of the systematic Sea Surface Temperature (SST) effects on the SSS retrieval. It appears to be related to a geometrical effect associated to the relative position between the SMOS antenna, the Sun and the Earth

2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 28 July - 2 August 2019, Yokohama, Japan.-- 4 pages, 3 figures, 1 table

Keywords

Sea surface salinity, Seasonal bias, Latitudinal bias, SMOS

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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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