Piecewise linear fitting and trend changing points of climate parameters

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On smoothing potentially non‐stationary climate time series (2004, methodology): “[5] We note that while our focus here is on smoothing of time series, similar considerations can be applied to alternative statistical time series modeling such as change point analysis [Tomé and Miranda, 2004].”
An assessment of three alternatives to linear trends for characterizing global atmospheric temperature changes (2004, unknown): “…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 Changes in Slope With an L0 Penalty (2017, methodology): “These include Tomé and Miranda (2004) who used an exhaustive search to find the best segmentation—an approach that is only feasible for very small datasets, with perhaps at most 100 to 200 data points.”