## A Monte Carlo Comparison of the Recovery of Winds Near Upwind and Downwind from the SASS-1 Model Function by Means of the Sum of Squares Algorithm and a Maximum Likelihood Estimator, Volume 3839National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1984 - Backscattering - 137 pages |

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0i cn 0i OJ 0J OJ algorithm antilog backscatter values biasses Bragg scatterers calm cn cn cn cn ui cn uj default equation GOTO H pol incidence angle input wind l m/s large direction error light winds MLEH NASA negative oi oi oi oi pi OJ 0i oj cn oj oi OJ OJ OJ oj oj ro OJ pi oj ro oj OJ uj pi 0i pi oi pi pi pi Pierson POL H POL V POL polarization PRINT 1 PRINT probability density function recovered ro oj ro SASS-l model function scatterometer SEASAT Skylab solutions SOSV SSSS standard deviation SUBROUTINE Table ui ui ui ui uj uj OJ uj ui uj uj upwind or downwind variance wind speed Woiceshyn zero