@article{fdi:010062250, title = {{A}n improved coastal upwelling index from sea surface temperature using satellite-based approach : the case of the {C}anary {C}urrent upwelling system}, author = {{B}enazzouz, {A}. and {M}ordane, {S}. and {O}rbi, {A}. and {C}hagdali, {M}. and {H}ilmi, {K}. and {A}tillah, {A}. and {P}elegri, {J}. {L}. and {D}emarcq, {H}erv{\'e}}, editor = {}, language = {{ENG}}, abstract = {{A} new methodology to derive an {SST}-based upwelling index was based on a rigorous spatial analysis of satellite {SST} fields and their variability, by referring to previous works, from {W}ooster et al. (1976) to {S}antos et al. (2011). {T}he data was precautiously processed by considering data quality aspects (including cloud cover) and the best way to derive accurate coastal {SST} and its offshore reference. {T}he relevance of the developed index was evaluated by comparing its spatial and seasonal consistency against two wind-based indices as well as with the previous {SST}-based indices, largely superseding these later ones in term of overall quality and spatio-temporal dynamic. {O}ur index adequately describes the spatio-temporal variability of the coastal upwelling intensity in the {C}anary {C}urrent upwelling system and has the advantage of describing complementary aspects of the coastal dynamics of the region that were not covered by {E}kman-based indices. {T}he proposed methodology is generic and can be easily applicable to various coastal upwelling systems, especially the four major eastern boundary upwelling ecosystems.}, keywords = {{C}oastal upwelling ; {C}oastal upwelling index ; {C}anary upwelling system ; {W}est {A}frica ; {S}ea surface temperature ; {R}emote sensing ; {ESPAGNE} ; {MAURITANIE} ; {MAROC} ; {SENEGAL} ; {OCEAN} {ATLANTIQUE} ; {CANARIAS}}, booktitle = {}, journal = {{C}ontinental {S}helf {R}esearch}, volume = {81}, numero = {}, pages = {38--54}, ISSN = {0278-4343}, year = {2014}, DOI = {10.1016/j.csr.2014.03.012}, URL = {https://www.documentation.ird.fr/hor/fdi:010062250}, }