Title :
Dynamics of Short Sea Wave Spectrum Estimated From Microwave Radiometric Measurements
Author :
Sadovsky, Ilya N. ; Kuzmin, Alexey V. ; Pospelov, Michael N.
Author_Institution :
Microwave Radiometry Lab., Russian Acad. of Sci., Moscow, Russia
Abstract :
This paper presents some results of the experiment CAPMOS´05 performed on an oceanographic research platform in the Black Sea. The platform, located 600 m offshore, was equipped with a set of contact and remote sensing instruments. Conventional contact sensors were used for direct measurements of atmosphere and sea boundary layer parameters (wind speed and direction, air temperature, water temperature and salinity profiles, etc.), whereas microwave and infrared band radiometers were used for remote sensing measurements of surface temperature and wave parameters. In particular, microwave Ka-band radiometer measurements were applied for gravity-capillary wave spectrum retrieval using the original techniques based on angular measurements. The spectrum component evolution under unstable wind conditions has been investigated. It has been demonstrated that the spectral components in the vicinity of the maximum of the wave curvature are the most sensitive to the wind-velocity variations.
Keywords :
atmospheric boundary layer; atmospheric temperature; gravity waves; microwave measurement; ocean temperature; ocean waves; oceanographic techniques; radiometry; remote sensing; wind; Black Sea; CAPMOS´05 experiment; air temperature; angular measurements; conventional contact sensors; gravity-capillary wave spectrum; infrared band radiometer; microwave Ka-band radiometer measurements; microwave radiometric measurements; ocean salinity profiles; ocean water temperature; ocean wave dynamics; oceanographic research platform; remote sensing instruments; sea boundary layer parameters; short sea wave spectrum estimation; spectrum component evolution; wind direction; wind speed; wind-velocity variations; Microwave radiometry; remote sensing; sea surface;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2009.2019635