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A Two-Dimensional Variational Analysis Method for NSCAT Ambiguity Removal: Methodology, Sensitivity, and TuningIn this study, we apply a two-dimensional variational analysis method (2d-VAR) to select a wind solution from NASA Scatterometer (NSCAT) ambiguous winds. 2d-VAR determines a "best" gridded surface wind analysis by minimizing a cost function. The cost function measures the misfit to the observations, the background, and the filtering and dynamical constraints. The ambiguity closest in direction to the minimizing analysis is selected. 2d-VAR method, sensitivity and numerical behavior are described. 2d-VAR is compared to statistical interpolation (OI) by examining the response of both systems to a single ship observation and to a swath of unique scatterometer winds. 2d-VAR is used with both NSCAT ambiguities and NSCAT backscatter values. Results are roughly comparable. When the background field is poor, 2d-VAR ambiguity removal often selects low probability ambiguities. To avoid this behavior, an initial 2d-VAR analysis, using only the two most likely ambiguities, provides the first guess for an analysis using all the ambiguities or the backscatter data. 2d-VAR and median filter selected ambiguities usually agree. Both methods require horizontal consistency, so disagreements occur in clumps, or as linear features. In these cases, 2d-VAR ambiguities are often more meteorologically reasonable and more consistent with satellite imagery.
Document ID
20020039632
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Hoffman, R. N.
(Atmospheric and Environmental Research, Inc. Lexington, MA United States)
Leidner, S. M.
(Atmospheric and Environmental Research, Inc. Lexington, MA United States)
Henderson, J. M.
(Atmospheric and Environmental Research, Inc. Lexington, MA United States)
Atlas, R.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Ardizzone, J. V.
(General Sciences Corp. Greenbelt, MD United States)
Bloom, S. C.
(General Sciences Corp. Greenbelt, MD United States)
Atlas, Robert
Date Acquired
September 7, 2013
Publication Date
January 1, 2001
Subject Category
Meteorology And Climatology
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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