@article{fdi:010089543, title = {{O}cean 2{D} eddy energy fluxes from small mesoscale processes with {SWOT}}, author = {{C}arli, {E}. and {M}orrow, {R}. and {V}ergara, {O}. and {C}hevrier, {R}. and {R}enault, {L}ionel}, editor = {}, language = {{ENG}}, abstract = {{W}e investigate ocean dynamics at different scales in the {A}gulhas {C}urrent system, a region of important interocean exchange of heat and energy. {W}hile ocean observations and some of the most advanced climate models capture the larger mesoscale dynamics (> 100 km), the smaller-scale fronts and eddies are underrepresented. {T}he recently launched {NASA}-{CNES} {S}urface {W}ater and {O}cean {T}opography ({SWOT}) wide-swath altimeter mission observes the smaller ocean geostrophic scales down to 15 km in wavelength globally. {H}ere we will analyse different eddy diagnostics in the {A}gulhas {C}urrent region and quantify the contributions from the larger mesoscales observable today and the smaller scales to be observed with {SWOT}. {S}urface geostrophic diagnostics of eddy kinetic energy, strain, and energy cascades are estimated from modelled sea surface height ({SSH}) fields of the {M}assachusetts {I}nstitute of {T}echnology general circulation model ({MIT}gcm) latitude-longitude polar cap ({LLC}4320) simulation subsampled at 1/10(degrees). {I}n this region, the smaller scales (<150 km) have a strong signature on the horizontal geostrophic strain rate and for all eddy diagnostics in the {W}estern {B}oundary {C}urrent and along the meandering {A}gulhas {E}xtension. {W}e investigate the horizontal cascade of energy using a coarse-graining technique, and we observe that the wavelength range where the inverse cascade occurs is biased towards larger mesoscale wavelengths with today's altimetric sampling. {W}e also calculate the projected sampling of the eddy diagnostics under the {SWOT} swaths built with the {NASA}-{CNES} simulator to include the satellite position and realistic noise. {F}or the swaths, a neural network noise mitigation method is implemented to reduce the residual {SWOT} random error before calculating eddy diagnostics. {I}n terms of {SSH}, observable wavelengths of 15 to 20 km are retrieved after neural network noise mitigation, as opposed to wavelengths larger than 40 km before the noise reduction.}, keywords = {{OCEAN} {INDIEN} ; {ATLANTIQUE}}, booktitle = {}, journal = {{O}cean {S}cience}, volume = {19}, numero = {5}, pages = {1413--1435}, ISSN = {1812-0784}, year = {2023}, DOI = {10.5194/os-19-1413-2023}, URL = {https://www.documentation.ird.fr/hor/fdi:010089543}, }