As part of a subcontract with the manufacturer of the Defense Meteorological Space Program (DMSP) special sensor microwave/imager (SSM/I), an operational wind speed algorithm was developed by Environmental Research and Technology, Inc. (ERT). The ERT algorithm is based on the "D-matrix" approach, which seeks a linear relationship between measured SSM/I brightness temperatures and environmental parameters. D-matrix performance was validated by comparing algorithm derived wind speeds with near-simultaneous and colocated measurements made by offshore ocean buoys maintained by the National Oceanic and Atmospheric Administration. The DMSP accuracy requirement of -+2 m/s for wind speed predictions in the range of 3 m/s to 25 m/s was not obtainable with the original version of the D-matrix, which had severe bias and scaling problems. Revisions to the algorithm made at the University of Massachusetts caused it to perform within specifications. Other topics include error budget modeling, alternate wind speed algorithms, and D-matrix performance with one or more inoperative SSM/I channels.

This paper presents a comparison of Geosat radar altimeter-derived wind speeds and significant wave heights with those measured by buoys in the National Data Buoy Center (NDBC) network. Measurements from a subset of 43 buoys moored in coastal regions and deep ocean, including the North Pacific, North Atlantic, and Gulf of Mexico, were examined. Data from other buoys within the NDBC network were not included because of their proximity to land. Seven months of altimeter comparisons were obtained during the Geosat geodetic mission for the periods May-August and October-December 1985. Only Geosat data within 150 km of buoy locations were accessed; this resulted in 1166 wind speed and significant wave height pairs. An error analysis was performed to better understand the differences between altimeter and buoy-derived results and to establish consistency between the two sets of measurements. The following error sources were identified and quantified in terms of their impact on wind speed and significant wave height uncertainties: (1) inaccuracies due to buoy instrumentation, (2) errors resulting from temporal and spatial separations, (3) errors arising from averaging of the buoy data in time and averaging of altimeter data over its footprint, and (4) altimeter instrumentation errors. Four algorithms relating altimeter radar cross section to ocean surface wind speed were investigated. The Brown algorithm (Brown et al., 1981), and the smoothed form of the algorithm of Brown et al. (Goldhirsh and Dobson , 1985) were found to give the smallest rms errors. These were 1.7 m/s and less for a maximum altimeter track-buoy separation of 50 km for most cases considered. This uncertainty agreed with the error obtained from the error analysis. Significant wave heights measured by the altimeter were found to be in agreement with buoy-derived values to within 0.5 m rms. This value was also found to be in agreement with that derived from the error analysis. The measurement goals for Geosat were 1.8 m/s rms for wind speeds from ! m/s to 18 m/s and 0.5 m rms for significant wave height or 10%, whichever is greater (Frain et al., 1985). These goals were met for the range of wind speeds compared. frames needed to produce yield predictions for fishery management and for increased fish catches.Radar remote sensing requires an understanding of the relationships between the signal the instrument is measuring and the physical characteristics of the medium from which the Copyright 1987 by the American Geophysical Union.Paper number 7C0530. 0148-0227/87/007 C-0530505.00 signal backscatters. In many cases these relationships can be established by quasi-empirical means with the aid of in situ measurements. The determination of ocean wind speed and significant wave heights from Geosat radar altimeter measurements represents such a case.Two parameters which can be derived from the altimeter measurements are ocean surface wind speed and significant wave height (SWH). Wind speed is related to the backscattered power, and the SWH is determined from th...

Abstract. A series of airborne scatterometer experiments designed to collect C and Ku band ocean backscatter data in regions of high ocean surface winds has recently been completed. More than 100 hours of data were collected using the University of

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