Objective scatterometer wind ambiguity removal using smoothness and dynamical constraintsIn the present investigation, a variational analysis method (VAM) is used to remove the ambiguity of the Seasat-A Satellite Scatterometer (SASS) winds. At each SASS data point, two, three, or four wind vectors (termed ambiguities) are retrieved. It is pointed out that the VAM is basically a least squares method for fitting data. The problem may be nonlinear. The best fit to the data and constraints is obtained on the basis of a minimization of the objective function. The VAM was tested and tuned at 12 h GMT Sept. 10, 1978. Attention is given to a case study involving an intense cyclone centered south of Japan at 138 deg E.
Document ID
19850055614
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Hoffman, R. N. (Atmospheric and Environmental Research, Inc. Cambridge, MA, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1984
Subject Category
Meteorology And Climatology
Meeting Information
Meeting: Conference on Satellite/Remote Sensing and Applications