Cross-Wavelet Bias Corrected by Normalizing Scales

Veleda, Dóris; Montagne, Raúl; Araújo, Moacyr

doi:10.1175/jtech-d-11-00140.1

Cited by 140 publications

(76 citation statements)

References 15 publications

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“…The wavelet transform is based on a practical guide to wavelet analysis of Torrence and Compo [1998]. One of the problems with the resulting “global wavelet spectra” is a distortion of the energy distribution [ Liu et al , 2007; Veleda et al , 2012], with high‐frequency peaks shown lower than their low‐frequency counterparts. In this work, we construct rectified Cross Wavelet Transform (XWT) by normalizing the wavelet transform by the square root of the scale, based on Veleda et al [2012].…”

Section: Resultssupporting

confidence: 91%

Intraseasonal variability of the North Brazil Undercurrent forced by remote winds

et al. 2012

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[1] Intraseasonal signals with periods of 2 to 3 weeks in near-surface alongshore current measurements are detected from four moorings (K1-K4) deployed from 2000 to 2004 at the 11 S section close to the Brazilian coast as part of the German CLIVAR Tropical Atlantic Variability Project. This section crosses the path of the North Brazil Undercurrent, the most powerful western boundary current in the South Atlantic Ocean. We investigate the origin of this intraseasonal variability of the North Brazil Undercurrent by relating the oceanic oscillation of the alongshore currents to its atmospheric counterpart, the meridional wind stress. On average, the results indicate a well-defined lagged (10 days) correlation ($0.6) structure between meridional wind stress and alongshore currents. The oceanic region with the highest cross-correlations is identified as a relatively narrow band along the Brazilian coast, from 22 -36 S and 40 -50 W, bounded in the north by an eastward change in coastline orientation. The cross-wavelet transform establishes the common power between the time series of meridional wind stress and alongshore currents, predominantly during austral winter and spring. These signals propagate equatorward with an alongshore speed of 285 AE 63 km day À1 , consistent with Coastal Trapped Wave theory.

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Section: Resultssupporting

confidence: 91%

Intraseasonal variability of the North Brazil Undercurrent forced by remote winds

et al. 2012

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“…In order to check the robustness of the cross-wavelet power spectrum, we consider the bias-attached cross-wavelet power spectrum developed by Ng and Chan (2012). Previous literature indicates evidence of bias (Liu et al, 2007;Veleda et al, 2012) on the way to low-frequency oscillations in the cross-wavelet.…”

Section: Cross-wavelet Transform and Phase Anglementioning

confidence: 99%

Oil price and stock market co-movement: What can we learn from time-scale approaches?

Ftiti

Guesmi

Abid³

2016

International Review of Financial Analysis

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“…The Matlab packages were downloaded from their web-site at: http://www.pol.ac.uk/home/ research/waveletcoherence/. The bias in the estimate of power spectrum is rectified according to and Veleda et al (2012).…”

Section: Synoptic Variation Of Residual Currentmentioning

confidence: 99%

Alongshore and cross-shore circulations and their response to winter monsoon in the western East China Sea

Huang

Zeng

et al. 2016

Deep Sea Research Part II: Topical Studies in Oceanography

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a b s t r a c tAn array of four bottom-mounted acoustic Doppler current profilers (ADCPs) were deployed during the winter of 2008 (28 December 2008 to 12 March 2009) along a cross-shelf section in the western East China Sea to investigate the winter circulation and its response to wind. During the observation period, the observed subtidal currents exhibit coherent spatial structure and temporal variation in terms of their mean (seasonal), trend (intra-seasonal), and synoptic variability. The subtidal currents are polarized roughly in the alongshore direction parallel to local isobaths, and the weak cross-shore current is closely linked to the alongshore component. The temporal variation of the currents follows the rhythm of wind stress, sea level, and sea level difference at the synoptic scale.The mean currents are basically composed of two anti-parallel currents in the alongshore direction: the East China Sea coastal current (ECSCC) flows southwestward along the inner shelf and the Taiwan warm current (TWC) flows in the opposite direction along the outer-shelf. The strongest current occurs over the mid-shelf as a coastal jet. The intra-seasonal currents exhibit an expansion and intensification of the ECSCC along with shrinking and weakening the alongshore component of the TWC. There is a significant increase in onshore current particularly over the mid-shelf.The fluctuations of synoptic currents show a significant positive correlation with wind stress, and the fluctuations are negatively correlated with sea level and sea level difference. The coherent spatial structure of the currents indicates that the depth-independent column motion is related to the sea level difference through a barotropic pressure gradient. The vertical shear of currents is related to the densityrelated baroclinic pressure gradient in the whole water column and to the friction within the surface and bottom boundary layers.

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Cross-Wavelet Bias Corrected by Normalizing Scales

Cited by 140 publications

References 15 publications

Intraseasonal variability of the North Brazil Undercurrent forced by remote winds

Intraseasonal variability of the North Brazil Undercurrent forced by remote winds

Oil price and stock market co-movement: What can we learn from time-scale approaches?

Alongshore and cross-shore circulations and their response to winter monsoon in the western East China Sea

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