Nature's style: Naturally trendy

By T. Cohn, H. Lins. 2005

392 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/bf413ae9cb1f6e52b35cf5b01551511cd11e735c

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Citations in the corpus

Long‐term persistence in climate and the detection problem (2006, result): “We show that all records are characterized by pronounced long-term persistence, similar to those found in real climate records [Koscielny-Bunde et al., 1998; Pelletier and Turcotte, 1999; Eichner et al., 2003; Blender and Fraedrich, 2003; Vyushin et al., 2004; Kiraly and Janosi, 2005; see also Cohn”
Long memory of rivers from spatial aggregation (2007, neutral): “Likewise, statistical tests suffer from a reduced power compared to a situation without long memory [Cohn and Lins, 2005; Rybski et al., 2006].”
Stationarity: Wanted Dead or Alive? 1 (2011, background): “Our second point, paradoxically opposing the first, is that given the complexity, scale, and long-term persistence (LTP) (Cohn and Lins, 2005) of climatic systems, combined with the paucity of observational records, stationarity and nonstationarity are essentially indistinguishable (except in those…”
Revisiting long-range dependence in annual precipitation (2018, background): “It has been shown 295 though, that they might have serious implications when it comes to the estimation of trend 296 significance and as a result, the observed changes in rainfall might be considered much rarer than 297 they actually are [Cohn and Lins, 2005].”
Trend evaluation in records with long‐term memory: Application to global warming (2009, methodology): “[3] In this letter we follow Cohn and Lins [2005], Rybski et al. [2006], Zorita et al.”
Statistical analysis of hydroclimatic time series: Uncertainty and insights (2007, methodology): “[4] On the other hand, the Markovian postulate (dating back to 1960s [Gilman et al., 1963] and still in use today [e.g., Mann and Lees, 1996]) can be paralleled, in our opinion, with the pre-Keplerian fallacy that the astral bodies should follow cyclical orbits and that any deviation from the cycle ”
Heat capacity, time constant, and sensitivity of Earth's climate system (2007, methodology): “The autocorrelation properties of times series of meteorological data have been examined by several investigators in the context of inferring the time period characterizing loss of memory of prior states, for the purpose of adducing criteria of forecast skill or determining the number of degrees of ”
Space‐time modelling of trends in temperature series (2011, methodology): “Since the DWT matrix is orthonormal, we can obtain the data using the inverse DWT, via Y 1⁄4 W W 1⁄4 W Wl þW Ww þW Wf: In the absence of seasonality, Craigmile et al. (2005) and Craigmile and Percival (2005) describe the statistical properties of Wf for long memory processes of the form given by eqn”