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Título: | Spatial variances of wind fields and their relation to second-order structure functions and spectra |
Autor: | Vogelzang, Jur; King, Gregory P. CSIC ORCID; Stoffelen, Ad | Fecha de publicación: | feb-2015 | Editor: | American Geophysical Union | Citación: | Journal of Geophysical Research: Oceans 120(2): 1048-1064 (2015) | Resumen: | American Geophysical Union. All Rights Reserved. Kinetic energy variance as a function of spatial scale for wind fields is commonly estimated either using second-order structure functions (in the spatial domain) or by spectral analysis (in the frequency domain). Both techniques give an order-of-magnitude estimate. More accurate estimates are given by a statistic called spatial variance. Spatial variances have a clear interpretation and are tolerant for missing data. They can be related to second-order structure functions, both for discrete and continuous data. Spatial variances can also be Fourier transformed to yield a relation with spectra. The flexibility of spatial variances is used to study various sampling strategies, and to compare them with second-order structure functions and spectral variances. It is shown that the spectral sampling strategy is not seriously biased to calm conditions for scatterometer ocean surface vector winds. When the second-order structure function behaves like rp, its ratio with the spatial variance equals (p+1)(p+2). Ocean surface winds in the tropics have p between 2/3 and 1, so one-sixth to one-fifth of the second-order structure function value is a good proxy for the cumulative variance. © 2015 | Descripción: | 17 pages, 8 figures, 1 table, 2 appendix | Versión del editor: | https://doi.org/10.1002/2014JC010239 | URI: | http://hdl.handle.net/10261/113295 | DOI: | 10.1002/2014JC010239 | Identificadores: | doi: 10.1002/2014JC010239 issn: 2169-9291 |
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