@article{fdi:010066703, title = {{A}ssessment of seasonal and year-to-year surface salinity signals retrieved from {SMOS} and {A}quarius missions in the {B}ay of {B}engal}, author = {{A}khil, {V}. {P}. and {L}engaigne, {M}atthieu and {D}urand, {F}abien and {V}ialard, {J}{\'e}r{\^o}me and {C}haitanya, {A}. {V}. {S}. and {K}eerthi, {M}. {G}. and {G}opalakrishna, {V}. {V}. and {B}outin, {J}. and {M}ontegut, {C}. {D}.}, editor = {}, language = {{ENG}}, abstract = {{T}he {B}ay of {B}engal ({B}o{B}) exhibits a wide range of sea surface salinity ({SSS}), with very fresh water induced by heavy monsoonal precipitation and river run-offs to the north, and saltier water to the south. {T}his is a particularly challenging region for the application of satellite-derived {SSS} measurements because of the potential pollution of the {SSS} signal by radio frequency interference ({RFI}) and land-induced contamination in this semi-enclosed basin. {T}he present study validates recent level-3 monthly gridded (1 degrees x 1 degrees) {SSS} products from {S}oil {M}oisture and {O}cean {S}alinity ({SMOS}) and {A}quarius missions to an exhaustive in situ {SSS} product for the {B}o{B}. {C}urrent {SMOS} {SSS} retrievals do not perform better than existing climatologies. {T}his is in stark contrast to {A}quarius, which outperforms {SMOS} and available {SSS} climatologies everywhere in the {B}o{B}. {W}hile {SMOS} only captures the {SSS} seasonal evolution in the northern part of the {B}ay, {A}quarius accurately captures the seasonal signal in the entire basin. {T}he {A}quarius product is also able to capture {SSS} non-seasonal anomalies, with an approximate correlation (r) of 0.75 with box-averaged in situ data in the northern, central, and western parts of the {B}ay. {A}quarius can, thus, be confidently used to monitor large-scale year-to-year {SSS} variations in the {B}o{B}.}, keywords = {{OCEAN} {INDIEN} ; {BENGALE} {GOLFE}}, booktitle = {}, journal = {{I}nternational {J}ournal of {R}emote {S}ensing}, volume = {37}, numero = {5}, pages = {1089--1114}, ISSN = {0143-1161}, year = {2016}, DOI = {10.1080/01431161.2016.1145362}, URL = {https://www.documentation.ird.fr/hor/fdi:010066703}, }