Mesoscale wind stress-SST coupling induced feedback to the ocean in the western coast of South America

Cui, Chaoran; Wei, Yanzhou; Wang, Hongna

doi:10.1007/s00343-020-0182-7

Cited by 4 publications

(3 citation statements)

References 55 publications

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“…In this work, the locally weighted regression filtering method (LOESS) [22] will be used to filter the noisy signal. This filtering method can decompose the observed data into a smooth part and a perturbed part.…”

Section: Noise Signal Filteringmentioning

confidence: 99%

ICEEMDAN/LOESS: An Improved Vibration-Signal Analysis Method for Marine Atomic Interferometric Gravimetry

Ma,

Li,

Qin

et al. 2024

JMSE

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The marine atomic interferometric gravimeter is a vital precision instrument for measuring marine geophysical information, which is widely used in mineral resources exploration, military applications, and missile launches. In practical measurements, vibration disturbance is an important factor that affects measurement accuracy. This paper proposes the combination of improved complete ensemble empirical mode decomposition with adaptive noise and locally weighted regression for vibration characterization of gravimeter vibration data. Firstly, the original signal is added into a pair of white noise for adaptive noise-complete ensemble empirical mode decomposition to obtain multiple intrinsic mode functions. The efficient IMF components and noise components are filtered out under the dual indicators of correlation coefficient and variance contribution ratio, and then the LOESS filtering method is used for noise reduction to obtain useful signal detail information; finally, the noise-containing components are reconstructed with the effective components after the noise-reduction process. The experimental results of both simulated and measured vibration signals show that the proposed method can effectively decompose the different high- and low-frequency bands contained in the vibration signal and remove the noise of the original signal.

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Section: Noise Signal Filteringmentioning

confidence: 99%

ICEEMDAN/LOESS: An Improved Vibration-Signal Analysis Method for Marine Atomic Interferometric Gravimetry

Ma,

Li,

Qin

et al. 2024

JMSE

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“…High‐resolution satellite observations reveal pronounced couplings between the ocean and atmosphere at mesoscales, particularly in the extratropical regions with energetic mesoscale eddies and strong sea surface temperature (SST) fronts, such as Kuroshio Extensions (KE) and Agulhas Return Current (ARC) (Chelton et al., 2004; Maloney & Chelton, 2006; Nonaka & Xie, 2003; Small et al., 2008; Wei et al., 2017; Xie, 2004), the tropical Pacific associated with tropical instability waves (Chelton et al., 2001; Hashizume et al., 2001; Small et al., 2003; Tian et al., 2019; Zhang, 2014; Zhang & Busalacchi, 2008), and the western coast of South America (Cui et al., 2020, 2021). At mesoscales, wind stress perturbations correlate well with SST perturbations (Chelton & Wentz, 2005; O’Neill et al., 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Pacific associated with tropical instability waves (Chelton et al, 2001;Hashizume et al, 2001;Small et al, 2003;Tian et al, 2019;Zhang, 2014;Zhang & Busalacchi, 2008), and the western coast of South America (Cui et al, 2020(Cui et al, , 2021. At mesoscales, wind stress perturbations correlate well with SST perturbations O'Neill et al, 2012).…”

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confidence: 99%

Mesoscale Surface Wind‐SST Coupling in a High‐Resolution CESM Over the KE and ARC Regions

Tang

Wang

Zhang

et al. 2021

J Adv Model Earth Syst

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A strong positive correlation exists between mesoscale sea surface temperature (SST) and surface wind stress perturbations in the extratropical oceans, which is revealed by high‐resolution satellite but is difficult to be accurately simulated in low‐resolution coupled ocean‐atmosphere models. The extent to which the mesoscale coupling is captured in a high‐resolution Community Earth System Model (CESM‐HR) is assessed in this study, with a focus on two regions, the Kuroshio Extensions (KE) and Agulhas Return Current (ARC), respectively. Compared with satellite observations, it is found that the CESM‐HR can well depict the characteristics of the mesoscale air‐sea coupling, with its strength being comparable to that observed; but in the KE region, the simulated strength is only half of the observed during summer. Mechanisms for the atmospheric responses to mesoscale SST perturbations through the pressure adjustment (PA) and the downward momentum transport (DMT) are analyzed. The results highlight different mechanisms for controlling the atmospheric responses over the KE and ARC regions, which are regionally and seasonally dependent. In the ARC region, pronounced dipole patterns of sea surface pressure (SLP) and vertical velocity perturbation responses indicate that the DMT exerts a dominant effect in both winter and summer. In the KE region, monopole patterns show the main role played by the PA mechanism for the atmospheric adjustment in summer, while dipole patterns indicate the main role played by the DMT mechanism in winter. The weak coupling strength in summer over the KE is closely related to the inadequate parameterization of vertical heat mixing.

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The southwestern Atlantic Ocean mesoscale eddies: A review of their role in the air-sea interaction processes

Cabrera

Santini

Lima

et al. 2022

Journal of Marine Systems

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Mesoscale wind stress-SST coupling induced feedback to the ocean in the western coast of South America

Cited by 4 publications

References 55 publications

ICEEMDAN/LOESS: An Improved Vibration-Signal Analysis Method for Marine Atomic Interferometric Gravimetry

ICEEMDAN/LOESS: An Improved Vibration-Signal Analysis Method for Marine Atomic Interferometric Gravimetry

Mesoscale Surface Wind‐SST Coupling in a High‐Resolution CESM Over the KE and ARC Regions

The southwestern Atlantic Ocean mesoscale eddies: A review of their role in the air-sea interaction processes

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