Publications des scientifiques de l'IRD

Reul N., Tenerelli J., Chapron B., Vandemark D., Quilfen Y., Kerr Yann. (2012). SMOS satellite L-band radiometer : a new capability for ocean surface remote sensing in hurricanes. Journal of Geophysical Research. Oceans, 117, p. C02006. ISSN 0148-0227.

Titre du document
SMOS satellite L-band radiometer : a new capability for ocean surface remote sensing in hurricanes
Année de publication
2012
Type de document
Article référencé dans le Web of Science WOS:000299954600003
Auteurs
Reul N., Tenerelli J., Chapron B., Vandemark D., Quilfen Y., Kerr Yann
Source
Journal of Geophysical Research. Oceans, 2012, 117, p. C02006 ISSN 0148-0227
The Soil Moisture and Ocean Salinity (SMOS) mission currently provides multiangular L-band (1.4 GHz) brightness temperature images of the Earth. Because upwelling radiation at 1.4 GHz 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. To illustrate this new capability, we present SMOS data over hurricane Igor, a tropical storm that developed to a Saffir-Simpson category 4 hurricane from 11 to 19 September 2010. Thanks to its large spatial swath and frequent revisit time, SMOS observations intercepted the hurricane 9 times during this period. Without correcting for rain effects, L-band wind-induced ocean surface brightness temperatures (T-B) were co-located and compared to H*Wind analysis. We 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. The first Stokes 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. Surface wind speeds estimated from SMOS brightness temperature images agree well with the observed and modeled surface wind speed features. In 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*Wind analyses. The 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 Hurricane intensity forecasts.
Plan de classement
Sciences du milieu [021] ; Limnologie physique / Océanographie physique [032]
Identifiant IRD
PAR00008568
Contact