Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.7/502
Título: Second-order structure function analysis of scatterometer winds over the Tropical Pacific
Autor: King, Gregory P.
Vogelzang, Jur
Stoffelen, Ad
Palavras-chave: structure functions
scatterometer winds
tropical pacific
Data: 28-Jan-2015
Editora: AGU Publications
Citação: King, G. P., J. Vogelzang, and A. Stoffelen (2015), Second-order structure function analysis of scatterometer winds over the Tropical Pacific, J. Geophys. Res. Oceans, 120, 362–383, doi:10.1002/2014JC009992.
Resumo: Kolmogorov second-order structure functions are used to quantify and compare the small-scale information contained in near-surface ocean wind products derived from measurements by ASCAT on MetOp-A and SeaWinds on QuikSCAT. Two ASCAT and three SeaWinds products are compared in nine regions (classified as rainy or dry) in the tropical Pacific between 10°S and 10°N and 140° and 260°E for the period November 2008 to October 2009. Monthly and regionally averaged longitudinal and transverse structure functions are calculated using along-track samples. To ease the analysis, the following quantities were estimated for the scale range 50 to 300 km and used to intercompare the wind products: (i) structure function slopes, (ii) turbulent kinetic energies ( inline image), and (iii) vorticity-to-divergence ratios. All wind products are in good qualitative agreement, but also have important differences. Structure function slopes and inline image differ per wind product, but also show a common variation over time and space. Independent of wind product, longitudinal slopes decrease when sea surface temperature exceeds the threshold for onset of deep convection (about 28°C). In rainy areas and in dry regions during rainy periods, ASCAT has larger divergent inline image than SeaWinds, while SeaWinds has larger vortical inline image than ASCAT. Differences between SeaWinds and ASCAT vortical inline image and vorticity-to-divergence ratios for the convectively active months of each region are large.
Peer review: yes
URI: http://hdl.handle.net/10400.7/502
DOI: 10.1002/2014JC009992
Versão do Editor: http://onlinelibrary.wiley.com/doi/10.1002/2014JC009992/abstract
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