Structure of the surface wind field from the Seasat SAR

An intensive analysis of the vector wind field of one Seasat data set: pass 1339 is described. Wind speed and direction signatures are found in Seasat SAR (synthetic aperture radar) images, and the resulting estimates are compared with the Seasat-A scatterometer system (SASS) and simultaneous NOAA P-3 aircraft measurements. A power law is presented to relate SAR-measured backscatter to SASS-estimated wind speed, and the SAR estimates are shown to agree with the SASS estimates to within a standard error of 0.7 m/s over a range of wind speeds from 3 m/s to 13 m/s. The surface expressions of atmospheric roll vortices are apparent in several of the SAR images and may be responsible for the wind-direction signature in these cases. Wind field estimates averaged over regions of variable sizes are possible because of the high resolution of SAR imagery. A method for extracting low wave number directionality and its variability from SAR spectra is described, and SAR direction estimates obtained from spectra of 6.4-km-square images are shown to have a precision of approximately 10°. Although a comparison data set that could validate these higher resolution estimates is lacking, averages over 40-km-square regions are in good agreement with the other wind field information. The SAR wind direction estimates yield a more complete interpretation in a region with a turning wind field near a front that is ambiguous with only SASS observations. In this region the flow patterns of the high-resolution estimates appear consistent with our knowledge of the overall circulation, considering all the observations. However, in another region the small-scale variability is too large and random to represent real wind variability, although averages derived from these estimates are still reliable.

[1]  A. H. Woodcock Soaring over the Open Sea , 1942 .

[2]  D. G. Watts,et al.  Spectral analysis and its applications , 1968 .

[3]  A. Craik A wave-interaction model for the generation of windrows , 1970, Journal of Fluid Mechanics.

[4]  Margaret A. LeMone,et al.  The Structure and Dynamics of Horizontal Roll Vortices in the Planetary Boundary Layer , 1973 .

[5]  A.K. Fung,et al.  Radar determination of winds at sea , 1979, Proceedings of the IEEE.

[6]  Robert A. Brown Longitudinal instabilities and secondary flows in the planetary boundary layer: A review , 1980 .

[7]  R. Stewart,et al.  The observation of ocean surface phenomena using imagery from the SEASAT synthetic aperture radar: An assessment , 1982 .

[8]  M. G. Wurtele,et al.  Wind direction alias removal studies of Seasat scatterometer-derived wind fields , 1982 .

[9]  B. Holt,et al.  SEASAT views oceans and sea ice with synthetic aperture radar , 1982 .

[10]  W. Pierson,et al.  The relationship between wind vector and normalized radar cross section used to derive SEASAT‐A satellite scatterometer winds , 1982 .

[11]  W. Linwood Jones,et al.  The Seasat-A satellite scatterometer - The geophysical evaluation of remotely sensed wind vectors over the ocean , 1982 .

[12]  T. W. Thompson,et al.  Synthetic aperture radar observation of ocean roughness from rolls in an unstable marine boundary layer , 1983 .

[13]  W. Pierson,et al.  The measurement of the synoptic scale wind over the ocean , 1983 .

[14]  Robert A. Brown On a satellite scatterometer as an anemometer , 1983 .

[15]  T. W. Thompson,et al.  L band radar backscatter dependence upon surface wind stress: A Summary of new SEASAT‐1 and aircraft observations , 1983 .

[16]  Robert C. Beal,et al.  Spatial variations of ocean wave directional spectra from the Seasat synthetic aperture radar , 1986 .