Title :
Radar method for atmospheric stratification condition unambiguous determination by synergy data of sea surface altimetric and scatterometric observations
Author :
Artashes, Arakelyan ; Astghik, Hambaryan
Author_Institution :
Leading Sci. Researches, Inst. of Radio Phys. & Electron., Kolkatta, India
Abstract :
The results of some theoretical and experimental investigations show that the difference of near sea surface air and water temperatures influences on microwave reflective characteristics of ruffled sea surface. The cause of this influence is temperature dependence of the sea surface wind wave spectrum. Besides, temperature-wind variations of radar backscattering coefficient are commensurable. Therefore, for a solution of the sea surface remote sensing inverse problem applied to near surface wind field parameters (wind speed and wind direction) retrieval it is necessary to have exact information about the condition of atmospheric stratification. However, at present, it is unknown effective and correct methods for atmospheric stratification condition precise and remote evaluation.
Keywords :
ocean waves; oceanographic techniques; radar altimetry; remote sensing by radar; temperature; wind; atmospheric stratification; atmospheric stratification condition; experimental investigation; microwave reflective characteristics; near surface wind field; radar backscattering coefficient; radar method; ruffled sea surface; scatterometric observation; sea surface air; sea surface altimetric observation; sea surface remote sensing inverse problem; sea surface wind wave spectrum; synergy data; temperature-wind variation; theoretical investigation; water temperature influence; wind direction retrieval; wind speed; Ocean temperature; Radar measurements; Radar remote sensing; Radar scattering; Sea surface; Surface waves; Temperature dependence; Temperature sensors; Water; Wind speed;
Conference_Titel :
OCEANS 2003. Proceedings
Conference_Location :
San Diego, CA, USA
Print_ISBN :
0-933957-30-0
DOI :
10.1109/OCEANS.2003.178051