Publication | Closed Access
A new method for detecting undocumented discontinuities in climatological time series
422
Citations
13
References
1995
Year
Non‐parametric StatisticsEngineeringClimate ModelingRegression AnalysisDiscontinuityEarth ScienceTime Series EconometricsClimatological Time SeriesData ScienceUndocumented DiscontinuitiesTemporal DataClimate ProjectionStatisticsClimate ForecastingNew MethodNonlinear Time SeriesClimate ChangeClimate VariabilityClimate SciencesForecastingFunctional Data AnalysisClimate DynamicsClimatologyClimate FluctuationsTrend AnalysisSpatio-temporal Model
Abstract The development of homogeneous climatological time series is a crucial step in examining climate fluctuations and change. We review and test methods that have been proposed previously for detecting inhomogeneities, and introduce a new method we have developed. This method is based on a combination of regression analysis and non‐parametric statistics. After evaluation against other techniques, using both simulated and observed data, our technique appears to have the best overall performance.
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