@article{PAR00008568,
  title = {{SMOS} satellite {L}-band radiometer : a new capability for ocean surface remote sensing in hurricanes},
  author = {{R}eul, {N}. and {T}enerelli, {J}. and {C}hapron, {B}. and {V}andemark, {D}. and {Q}uilfen, {Y}. and {K}err, {Y}ann},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {S}oil {M}oisture and {O}cean {S}alinity ({SMOS}) mission currently provides multiangular {L}-band (1.4 {GH}z) brightness temperature images of the {E}arth. {B}ecause upwelling radiation at 1.4 {GH}z is significantly less affected by rain and atmospheric effects than at higher microwave frequencies, these new {SMOS} measurements offer unique opportunities to complement existing ocean satellite high wind observations that are often contaminated by heavy rain and clouds. {T}o illustrate this new capability, we present {SMOS} data over hurricane {I}gor, a tropical storm that developed to a {S}affir-{S}impson category 4 hurricane from 11 to 19 {S}eptember 2010. {T}hanks to its large spatial swath and frequent revisit time, {SMOS} observations intercepted the hurricane 9 times during this period. {W}ithout correcting for rain effects, {L}-band wind-induced ocean surface brightness temperatures ({T}-{B}) were co-located and compared to {H}*{W}ind analysis. {W}e find the {L}-band ocean emissivity dependence with wind speed appears less sensitive to roughness and foam changes than at the higher {C}-band microwave frequencies. {T}he first {S}tokes parameter on a similar to 50 km spatial scale nevertheless increases quasi-linearly with increasing surface wind speed at a rate of 0.3 {K}/m s(-1) and 0.7 {K}/m s(-1) below and above the hurricane-force wind speed threshold (similar to 32 m s(-1)), respectively. {S}urface wind speeds estimated from {SMOS} brightness temperature images agree well with the observed and modeled surface wind speed features. {I}n particular, the evolution of the maximum surface wind speed and the radii of 34, 50 and 64 knots surface wind speeds are consistent with {GFDL} hurricane model solutions and {H}*{W}ind analyses. {T}he {SMOS} sensor is thus closer to a true all-weather satellite ocean wind sensor with the capability to provide quantitative and complementary surface wind information of interest for operational {H}urricane intensity forecasts.},
  keywords = {},
  booktitle = {},
  journal = {{J}ournal of {G}eophysical {R}esearch. {O}ceans},
  volume = {117},
  numero = {},
  pages = {{C}02006},
  ISSN = {0148-0227},
  year = {2012},
  DOI = {10.1029/2011jc007474},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00008568},
}