REDFIT: estimating red-noise spectra directly from unevenly spaced paleoclimatic time series

By Michael Schulz, Manfred Mudelsee. 2002

1,134 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/9000229f09685a5de6d95880bf8eddbe883f3276

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In Atmospheric Science

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Citations in the corpus

On the 1470‐year pacing of Dansgaard‐Oeschger warm events (2002, positive): “0883-8305/02/2000PA000571$12.00 4 - 1 reanalyzed using the software REDFIT [Schulz and Mudelsee, 2002].”
Evidence for solar forcing on the Indian monsoon during the last millennium (2002, methodology): “The presence of the spectral peaks was also con¢rmed using the package REDFIT [ 29 ], which determines red noise spectra of an unevenly spaced time series and tests whether peaks in the spectrum of the time series are signi¢cant against the red noise background from an autoregressive process.”
Oligocene climate dynamics (2004, methodology): “However, statistical tests [ Schulz and Mudelsee, 2002 ] performed on PA4019 WADE AND PA¨ LIKE: OLIGOCENE CLIMATE DYNAMICS”
REDFIT-X: Cross-spectral analysis of unevenly spaced paleoclimate time series (2016, methodology): “In addition Monte Carlo simulations can be used, where a large number of red noise processes are generated with the same estimated AR(1) parameter, to form false-alarm level as percentiles of the Monte Carlo ensemble (Schulz and Mudelsee, 2002).”
TAUEST: a computer program for estimating persistence in unevenly spaced weather/climate time series (2002, methodology): “The fit subroutine of TAUEST was also combined with the SPECTRUM frequency-analysis package for unevenly spaced data (Schulz and Stattegger, 1997) to quantify the analogue of persistence in the frequency domainFred noise (Schulz and Mudelsee, 2002).”
A Spectral Analysis of World GDP Dynamics: Kondratieff Waves, Kuznets Swings, Juglar and Kitchin Cycles in Global Economic Development, and the 2008–2009 Economic Crisis (2010, methodology): “The process description that is the closest to (A1) is used by Schulz and Mudelsee (2002), however it is not expressed explicitly, but is arrived at through the corrections of the second term in equation (A1), whereas in order to estimate the significance of deviations from the null hypothesis they…”