A sequential algorithm for testing climate regime shifts

By S. Rodionov. 2004

1,198 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/0c44bdb0f093a86740faf09f2baba024fda051ee

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In Atmospheric Science

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Citations in the corpus

Ecological thresholds and regime shifts: approaches to identification. (2009, methodology): “The most commonly investigated regime shift hypothesis is a step change in mean level using parametric [40, 42, 43] or non-parametric [44] methods.”
Regime shifts and red noise in the North Pacific (2006, background): “Based on the multi-year persistence 11 in both red noise and multiple state models applied to the North Pacific, some probabilistic statements can be made about the occurrence of climatic regime shifts (Rodionov, 2004).”
Oceanic changes in the Sargasso Sea and declines in recruitment of the European eel (2007, methodology): “The regime shift indicator of Rodionov (2004) was used to assess whether there had been major changes in trends of the DOI and NAO in particular years.”
Indices of zooplankton community as valuable tools in assessing the trophic state and water quality of eutrophic lakes: long term study of Lake Võrtsjärv (2014, methodology): “A shift detection calculator (Rodionov, 2004) was used to detect significant increases and decreases in P and N loadings as well as in lake water conNo n-c om me rci l u se on ly”
Biological communities in San Francisco Bay track large‐scale climate forcing over the North Pacific (2010, background): “Regime‐shift detection [Rodionov, 2004] identified a significant change in the PC1 time series after 1999 (Figure 1a).”
Climate controls on marine ecosystems and fish populations (2010, methodology): “4 illustrate a method of applying the displacement definition to find such shifts in the PDO for the mid 1940s and 1970s (Rodionov, 2004).”
Use of prewhitening in climate regime shift detection (2006, methodology): “These time series were processed using the sequential method [Rodionov, 2004] with the following parameters: target significance level p =”
The importance of prewhitening in change point analysis under persistence (2016, methodology): “Dealing with a sequential regime shift detection method (Rodionov 2004), which is different to the Pettitt test but is similarly affected by serial correlation, Rodionov (2006) investigated the effect of prewhitening, highlighting the importance of performing a bias correction of the ordinary least ”
An assessment of three alternatives to linear trends for characterizing global atmospheric temperature changes (2004, neutral): “…temperatures and other variables have not experienced monotonic linear changes and that the data exhibit both piecewise linear behavior and step-like changes [e.g., Karl et al., 2000; Lindzen and Giannitsis, 2002; Christiansen, 2003; Lanzante et al., 2003; Tomé and Miranda, 2004; Rodionov, 2004].”
Detecting time-varying seasonal signal in GPS position time series with different noise levels (2017, methodology): “Additional offsets were estimated using the Sequential t test algorithm (Rodionov 2004) with a segment length of 100 days and a confidence level of 95%.”
Recent declines in China’s largest freshwater lake: trend or regime shift? (2013, methodology): “It can automatically detect multiple change points and is less sensitive to the presence of trends than the prevailing methods (Rodionov 2004).”
Coherence of long-term variations of zooplankton in two sectors of the California Current System (2007, methodology): “However, the present data, based on aggregated data for all species of salps, all doliolids, and all euphausiids combined within each respective taxon fail to show such changes, by either of two tests: the regime shift test of Rodionov (2004) and the CuSum test.”
The urban heat island of Bucharest during the extreme high temperatures of July 2007 (2009, methodology): “For each transect, the shifting points delivered by the Rodionov test (Rodionov 2004) were considered the limits of the UHI.”
A Review and Comparison of Changepoint Detection Techniques for Climate Data (2007, background): “…climatologists Easterling and Peterson (1995) conducted the first major attempt, although their introduced statistic did not always produce a clear conclusion More recent review attempts have been made by Peterson et al. (1998), Ducré-Robitaille et al. (2003), Rodionov (2004), and DeGaetano (2006).”
Review of population dynamics and management of small pelagic fishes around the Japanese Archipelago (2019, methodology): “In order to detect phase shifts in biomass and RPS, I examined statistically significant shifts in the mean values of the Regime Shift Index, using Sequential Regime Shift Detection software (version 3.4) developed by Rodionov (2004).”