FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3039378416> ?p ?o ?g. }

• W3039378416 endingPage "111964" @default.
• W3039378416 startingPage "111964" @default.
• W3039378416 abstract "Monsoon rain and rivers bring large freshwater input to the Northern Bay of Bengal (BoB), yielding low Sea Surface Salinity (SSS) after the monsoon. The resulting sharp upper-ocean salinity stratification is thought to influence tropical cyclones intensity and biological productivity by inhibiting vertical mixing. Despite recent progresses, the density of in situ data is far from sufficient to monitor the BoB SSS variability, even at the seasonal timescale. The advent of satellite remotely-sensed SSS (SMOS, Aquarius, SMAP) offers a unique opportunity to provide synoptic maps of the BoB SSS every ~8 days. Previous SMOS SSS retrievals did not perform well in the BoB. Here, we show that improved systematic error corrections and quality control procedures yield a much better performance of the new “debiased v4” CATDS level-3 SSS from SMOS (~0.8 correlation, 0.04 bias and 0.64 root-mean-square difference to more than 28,000 collocated in situ data points over 2010–2019). The SMOS product now performs equivalently to Aquarius, and is slightly inferior to SMAP over the BoB. In particular, SMAP and SMOS are able to capture salinity variations close to the east coast of India (r > 0.8 within 75–150 km of the coast). They thus capture the seasonal freshening there, associated with equatorward advection of the Northern BoB low-salinity water by the East Indian Coastal Current (EICC) after the summer monsoon. The 10-year long SMOS record further allows to describe the BoB interannual SSS variability, which is strongest in boreal fall in relation with the Indian Ocean Dipole (IOD). Positive IOD events induce a weakening of the southward export of freshwater by the EICC, and hence negative SSS anomalies in the Northern BoB and positive ones along the East Indian coast. This confirms results from earlier studies based on modelling, sparse in situ data, or shorter satellite records, but this time from a 10-year long SSS record. Overall, our study indicates that the new SMOS retrieval can be confidently used to monitor the BoB SSS and to study its mechanisms. We end by a brief description of the BoB SSS anomalies associated with the extreme 2019 IOD event and highlight the very good performance over the BoB of a new multi-satellite product developed by the European Space Agency merging SMOS, Aquarius and SMAP data." @default.
• W3039378416 created "2020-07-10" @default.
• W3039378416 creator A5021863392 @default.
• W3039378416 creator A5032256622 @default.
• W3039378416 creator A5033156398 @default.
• W3039378416 creator A5041407349 @default.
• W3039378416 creator A5057010163 @default.
• W3039378416 creator A5057592947 @default.
• W3039378416 creator A5091810301 @default.
• W3039378416 date "2020-10-01" @default.
• W3039378416 modified "2023-10-10" @default.
• W3039378416 title "Bay of Bengal Sea surface salinity variability using a decade of improved SMOS re-processing" @default.
• W3039378416 cites W1591225748 @default.
• W3039378416 cites W1970171199 @default.
• W3039378416 cites W1971434946 @default.
• W3039378416 cites W1971463507 @default.
• W3039378416 cites W1973443548 @default.
• W3039378416 cites W1984060428 @default.
• W3039378416 cites W1985669309 @default.
• W3039378416 cites W1997302535 @default.
• W3039378416 cites W2003733038 @default.
• W3039378416 cites W2013950140 @default.
• W3039378416 cites W2016394589 @default.
• W3039378416 cites W2018606128 @default.
• W3039378416 cites W2029110544 @default.
• W3039378416 cites W2036246998 @default.
• W3039378416 cites W2040533063 @default.
• W3039378416 cites W2049480191 @default.
• W3039378416 cites W2062191307 @default.
• W3039378416 cites W2077213543 @default.
• W3039378416 cites W2082001988 @default.
• W3039378416 cites W2082281341 @default.
• W3039378416 cites W2084326380 @default.
• W3039378416 cites W2087765083 @default.
• W3039378416 cites W2090075242 @default.
• W3039378416 cites W2094892216 @default.
• W3039378416 cites W2110015236 @default.
• W3039378416 cites W2122773972 @default.
• W3039378416 cites W2126897695 @default.
• W3039378416 cites W2128891963 @default.
• W3039378416 cites W2130395239 @default.
• W3039378416 cites W2131039307 @default.
• W3039378416 cites W2136687995 @default.
• W3039378416 cites W2142021282 @default.
• W3039378416 cites W2148614802 @default.
• W3039378416 cites W2165970624 @default.
• W3039378416 cites W2201182621 @default.
• W3039378416 cites W2282965086 @default.
• W3039378416 cites W2301832356 @default.
• W3039378416 cites W2313211616 @default.
• W3039378416 cites W2323524345 @default.
• W3039378416 cites W2346021954 @default.
• W3039378416 cites W2560337808 @default.
• W3039378416 cites W2583279465 @default.
• W3039378416 cites W2603398445 @default.
• W3039378416 cites W2770549261 @default.
• W3039378416 cites W2797354749 @default.
• W3039378416 cites W2883199369 @default.
• W3039378416 cites W2901238137 @default.
• W3039378416 cites W2913038625 @default.
• W3039378416 cites W2931191727 @default.
• W3039378416 cites W3014071393 @default.
• W3039378416 doi "https://doi.org/10.1016/j.rse.2020.111964" @default.
• W3039378416 hasPublicationYear "2020" @default.
• W3039378416 type Work @default.
• W3039378416 sameAs 3039378416 @default.
• W3039378416 citedByCount "36" @default.
• W3039378416 countsByYear W30393784162020 @default.
• W3039378416 countsByYear W30393784162021 @default.
• W3039378416 countsByYear W30393784162022 @default.
• W3039378416 countsByYear W30393784162023 @default.
• W3039378416 crossrefType "journal-article" @default.
• W3039378416 hasAuthorship W3039378416A5021863392 @default.
• W3039378416 hasAuthorship W3039378416A5032256622 @default.
• W3039378416 hasAuthorship W3039378416A5033156398 @default.
• W3039378416 hasAuthorship W3039378416A5041407349 @default.
• W3039378416 hasAuthorship W3039378416A5057010163 @default.
• W3039378416 hasAuthorship W3039378416A5057592947 @default.
• W3039378416 hasAuthorship W3039378416A5091810301 @default.
• W3039378416 hasBestOaLocation W30393784162 @default.
• W3039378416 hasConcept C111368507 @default.
• W3039378416 hasConcept C115880899 @default.
• W3039378416 hasConcept C121332964 @default.
• W3039378416 hasConcept C126255220 @default.
• W3039378416 hasConcept C127313418 @default.
• W3039378416 hasConcept C127413603 @default.
• W3039378416 hasConcept C129513315 @default.
• W3039378416 hasConcept C136996986 @default.
• W3039378416 hasConcept C146978453 @default.
• W3039378416 hasConcept C148699463 @default.
• W3039378416 hasConcept C19269812 @default.
• W3039378416 hasConcept C29141058 @default.
• W3039378416 hasConcept C33923547 @default.
• W3039378416 hasConcept C39432304 @default.
• W3039378416 hasConcept C49204034 @default.
• W3039378416 hasConcept C5072599 @default.
• W3039378416 hasConcept C97355855 @default.
• W3039378416 hasConceptScore W3039378416C111368507 @default.

• next