@article{PAR00026653,
  title = {{SSS} estimates from {AMSR}-{E} radiometer in the {B}ay of {B}engal : algorithm principles and limits},
  author = {{M}ontero, {M}. and {R}eul, {N}. and {M}ont{\'e}gut, {C}. {D}. and {V}ialard, {J}{\'e}r{\^o}me and {B}rachet, {S}. and {G}uimbard, {S}. and {V}andemark, {D}. and {T}ournadre, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he monsoon freshwater and wind forcing drive high sea surface salinity ({SSS}) contrasts and variability (up to 10-pss range) in the {B}ay of {B}engal ({B}o{B}), with important consequences for upper ocean mixing and air-sea interactions. {S}ynoptic {S}ea {S}urface {S}alinity ({SSS}) maps did only become available with the advent of {L}-band radiometers in 2010, due to insufficient prior in situ data coverage. {H}ere, we build tools aiming at reconstructing the monthly {B}o{B} {SSS} at (1/4)degrees resolution since 2002 from the advanced microwave scanning radiometer for {E}arth observing system ({AMSR}-{E}) radiometer data. {T}he {C}-band low sensitivity to {SSS} requires very careful processing. {T}aking the {X}-band - {C}-band signals reduce the impact of {S}ea {S}urface {T}emperature ({SST}) and wind on brightness temperatures. {I}t was, however, further necessary to train the algorithm with {SSS} data from {L}-band radiometers to remove residual surface winds, {SST}, and atmospheric water contents signals. {W}e also found that separate treatment of the ascending and descending passes was necessary, as well as a proper data screening to minimize contamination by land signals. {T}he resulting {SSS} product reproduces the broad {B}o{B} climatological {SSS} and has a 0.66 correlation, 1.08-pss rms difference to co-located in situ surface salinity from {A}rray for {R}eal-time {G}eostrophic {O}ceanography ({ARGO}) floats. {C}omparisons with ocean reanalyses in two {SSS} interannual variability hotspots indicate poor performance in the {N}orthern {B}o{B}, but some skill along the {E}ast coast of {I}ndia. {O}ur results provide a proof of concept for reconstructing the {B}o{B} {SSS} from {AMSR}-{E} data, and we discuss possible future improvements of the data processing to further reduce the impact of spurious signals.},
  keywords = {{A}dvanced microwave scanning radiometer for {E}arth observing system ({AMSR}-{E}) ; {B}ay of {B}engal ({B}o{B}) ; {E}uropean {S}pace {A}gency ({ESA}) {C}limate ; {C}hange {I}nitiative program ; radiometers ; reconstruction ; sea surface ; salinity ({SSS}) ; {OCEAN} {INDIEN} ; {BENGALE} {GOLFE}},
  booktitle = {},
  journal = {{IEEE} {T}ransactions on {G}eoscience and {R}emote {S}ensing},
  volume = {61},
  numero = {},
  pages = {4206921 [ p.]},
  ISSN = {0196-2892},
  year = {2023},
  DOI = {10.1109/tgrs.2023.3305203},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00026653},
}