DOAJ Open Access 2025

Enhancements on the Latitudinal and Seasonal Bias Corrections in the SMOS Debiased Non-Bayesian Sea Surface Salinity Retrieval

Aina Garcia-Espriu Estrella Olmedo Veronica Gonzalez-Gambau Cristina Gonzalez-Haro Antonio Turiel +5 lainnya

Abstrak

The soil moisture and ocean salinity (SMOS) satellite mission, launched in 2009, provides global measurements of sea surface salinity (SSS) using L-band radiometry. In this article, we revisit the algorithms to empirically correct the residual latitudinal and seasonal biases seen in the debiased non-Bayesian (DNB) retrieval algorithm. We characterize these biases that affect the retrieved SSS and derive empirical corrections to mitigate them. We also revisit the filtering criteria for the new release of brightness temperature (v724). We compare the SSS retrieved by using different DNB filtering configurations with in-situ Argo measurements and discuss the importance of these corrections and the optimal configuration parameters for the generation of the Level 3 SSS maps. We observe significant improvements in the retrieved SSS when compared to the ones retrieved in the Barcelona Expert Center global SSS product v2.

Penulis (10)

A

Aina Garcia-Espriu

E

Estrella Olmedo

V

Veronica Gonzalez-Gambau

C

Cristina Gonzalez-Haro

A

Antonio Turiel

Y

Yoann Rey-Ricord

E

Eric Jeansou

R

Roberto Sabia

R

Raffaele Crapolicchio

R

Roger Oliva

Format Sitasi

Garcia-Espriu, A., Olmedo, E., Gonzalez-Gambau, V., Gonzalez-Haro, C., Turiel, A., Rey-Ricord, Y. et al. (2025). Enhancements on the Latitudinal and Seasonal Bias Corrections in the SMOS Debiased Non-Bayesian Sea Surface Salinity Retrieval. https://doi.org/10.1109/JSTARS.2025.3575473

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.1109/JSTARS.2025.3575473
Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.1109/JSTARS.2025.3575473
Akses
Open Access ✓