ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES

By Michael Ghil, M. R. Allen, M. Dettinger, Kayo Ide, D. Kondrashov, M. Mann, Andrew Robertson, A. Saunders, Yudong Tian, F. Varadi and 1 more. 2002

2,265 citations recorded by the source corpus.

Subfields: Atmospheric Science, Economics and Econometrics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3187f405e01df44b84637b2c48debd75e5f1965a

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Citations in the corpus

Detection of climate signal in dendrochronological data analysis: a comparison of tree-ring standardization methods (2004, background): “The first-order autocorrelations, expected to indicate the low-frequency variability in chronologies (Cook and Briffa, 1990), are lowest with the most flexible standardization curves (SP32 and SP67), and highest with NELR and RCS (Table 4). In general, autocorrelations are lowest among chronologies ”
Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method (2009, methodology): “Many time-series analysis tools have been used on this time series to display their capability of revealing useful scientific information.(6,32,33) The specific question to be examined here is over what timescales are the El Niño and the Southern Oscillation coupled? The SOI used in this study is de”
A fast reduced-rank interpolation method for prestack seismic volumes that depend on four spatial dimensions (2013, methodology): “Rank reduction seismic denoising and regularization methods were inspired by Cadzow filtering (Cadzow, 1988) or its equivalent formulation from the field of time series analysis called multichannel singular spectrum analysis (Broomhead and King, 1986; Ghil et al., 2002).”
A Review of Some Modern Approaches to the Problem of Trend Extraction (2012, methodology): “At the present time, SSA is a proven technique in the geosciences (Ghil & Vautard, 1991; Ghil et al., 2002), and it is starting to be applied in other areas, e.”
Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis (2021, methodology): “One major advantage of this method is that it is nonparametric and data-adaptive, which grants it a wide range of application scenarios, especially in the fields of meteorology and oceanography (e.g., Bond et al., 2001; Ghil et al., 2002; Schlesinger & Ramankutty, 1994).”
The physics of climate variability and climate change (2019, methodology): “Thus the rightmost peak, with a period of 5.5 years, can be attributed to the remote effect of ENSO’s low-frequency mode (Ghil et al., 2002; Ghil and Robertson, 2000), while the 7.7-year peak captures a North Atlantic mode of variability that arises from the Gulf Stream’s interannual cycle of…”
Echo Chambers: Emotional Contagion and Group Polarization on Facebook (2016, methodology): “22,23 More in detail, SSA aims at decomposing the signal as a linear combination of variability modes, which are data-adaptive functions of time.”
The modulated annual cycle: an alternative reference frame for climate anomalies (2007, methodology): “1996) and singular spectrum analysis (Ghil et al. 2002), have limitations in satisfying the temporal locality requirement, since the calculation of autocorrelations uses the whole data and has an implicit stationarity assumption.”
A Hierarchy of Data-Based ENSO Models (2005, background): “At the present time, dynamical models do not seem to outperform the best statistical models in forecasting major ENSO indices (Ghil and Jiang 1998; Barnston et al. 1999; Goddard and DeWitt 2005) and hence we limit ourselves here to the latter.”