Bay of Bengal Sea surface salinity variability using a decade of improved SMOS re-processing

Akhil, Valiya Parambil; Vialard, Jérôme; Lengaigne, Matthieu; Keerthi, Madhavan Girijakumari; Boutin, Jacqueline; Vergely, Jean‐Luc; Papa, Fabrice

doi:10.1016/j.rse.2020.111964

Cited by 47 publications

(42 citation statements)

References 53 publications

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“…Thus, it is clear that the observed interannual variability seen in the equatorial zonal winds distinctly shows its influence on southward expansion of “RIS” along the ECI. The prevailing equatorial winds associated with the pIOD induces weak Kelvin wave which triggers the weak EICC along the ECI, eventually leading to the midway termination of “RIS.” These results are in line with the previous studies (Akhil et al., 2020; Fournier et al., 2017).…”

Section: Resultssupporting

confidence: 94%

“…(2014). These results indicates that the SMAP SSS v4.3 is able to capture the freshening signal associated with RIS that propagates along the ECI in line with previous studies (Akhil et al., 2020; Fournier et al., 2017).…”

Section: Resultssupporting

confidence: 90%

“…The prevailing equatorial winds associated with the pIOD induces weak Kelvin wave which triggers the weak EICC along the ECI, eventually leading to the midway termination of "RIS." These results are in line with the previous studies (Akhil et al, 2020;Fournier et al, 2017).…”

Section: During Piod Yearssupporting

confidence: 94%

“…Recently, Akhil et al. (2020) have also verified three satellite SSS (SMOS, Aquarius and SMAP v4.3—same version that is used in present study) with co‐located in situ data in the BOB. They found that SMAPv.3 performs better near to the east coast of India when compared to other two satellites.…”

Section: Resultssupporting

confidence: 61%

“…(2017) and Akhil et al. (2020) were able to capture the seasonal and inter annual variability of GBs river plume in the BOB using SMAP L3 v3, and v4.3 they neither considered the first 40 km from the coast nor validated the SMAP nearer to the coast and fresh water dominated regions. The assessment of satellite derived SSS measurement near coastal regions are challenging task due to RFI and land induced contamination (Reul et al., 2012; Subrahmanyam et al., 2013).…”

Section: Introductionmentioning

confidence: 99%

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Impact of Remote Equatorial Winds and Local Mesoscale Eddies on the Existence of “River in the Sea” Along the East Coast of India Inferred From Satellite SMAP

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The Northern Indian Ocean (NIO) has a unique geographical setting as it is bifurcated by the Indian landmass resulting into two tropical basins viz. Arabian Sea (AS) and Bay of Bengal (BOB). These two basins are consistently influenced by the seasonally reversing monsoon wind forcing which in turn impact the surface circulation, precipitation, sea surface salinity (SSS) and exchange of water masses between the basins (Prasanna Kumar et al., 2004). The SSS is the most prominent physical parameter to distinguish these basins and also to control the dynamic and thermodynamic features of water masses (Behara et al., 2019; Pant et al., 2015; Pierce et al., 1995). In general, the SSS of BOB is below 34 psu throughout the year due to excess precipitation over evaporation and fresh water discharge from major perennial rivers such as Ganga-Brahmaputra (GB), Mahanadi-Brahmani, Krishna-Godavari and Irrawady (Behara et al., 2019; Dai et al., 2009). This freshening has greater impact on the air-sea interaction processes that modulates

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Section: Resultssupporting

confidence: 94%

Section: Resultssupporting

confidence: 90%

Section: During Piod Yearssupporting

confidence: 94%

Section: Resultssupporting

confidence: 61%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Impact of Remote Equatorial Winds and Local Mesoscale Eddies on the Existence of “River in the Sea” Along the East Coast of India Inferred From Satellite SMAP

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Satellite-based Sea Surface Salinity designed for Ocean and Climate Studies

Boutin

Reul

Kohler³

et al. 2021

Preprint

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Sea Surface Salinity (SSS) is an increasingly used Essential Ocean and Climate Variable. The Soil Moisture and Ocean Salinity (SMOS), Aquarius, and Soil Moisture Active Passive (SMAP) satellite missions all provide SSS measurements, with very different instrumental features leading to specific measurement characteristics. The Climate Change Initiative Salinity project (CCI + SSS) aims to produce a SSS Climate Data Record (CDR) that addresses well-established user needs based on those satellite measurements. To generate a homogeneous CDR, instrumental differences are carefully adjusted based on in-depth analysis of the measurements themselves, together with some limited use of independent reference data. An optimal interpolation in the time domain without temporal relaxation to reference data or spatial smoothing is applied. This allows preserving the original datasets variability. SSS CCI fields are well suited for monitoring weekly to interannual signals, at spatial scales ranging from 50 km to the basin scale. They display large year-to-year seasonal variations over the 2010-2019 decade, sometimes by more than ±0.4 over large regions. The robust standard deviation of the monthly CCI SSS minus in situ Argo salinities is 0.15 globally, while it is at least 0.20 with individual satellite SSS fields. r 2 is 0.97, similar or better than with original datasets. The correlation with independent ship thermosalinographs SSS further highlights the CCI data set excellent performance, especially near land areas. During the SMOS-Aquarius period, when the representativity uncertainties are the largest, r 2 is 0.84 with CCI while it is 0.48 with the Aquarius original data set. SSS CCI data are freely available and will be updated and extended as more satellite data become available.

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Validation of the multi-satellite merged sea surface salinity in the South China Sea

Wang,

Song,

Zhao

et al. 2023

J. Ocean. Limnol.

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Bay of Bengal Sea surface salinity variability using a decade of improved SMOS re-processing

Cited by 47 publications

References 53 publications

Impact of Remote Equatorial Winds and Local Mesoscale Eddies on the Existence of “River in the Sea” Along the East Coast of India Inferred From Satellite SMAP

Impact of Remote Equatorial Winds and Local Mesoscale Eddies on the Existence of “River in the Sea” Along the East Coast of India Inferred From Satellite SMAP

Satellite-based Sea Surface Salinity designed for Ocean and Climate Studies

Validation of the multi-satellite merged sea surface salinity in the South China Sea

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