Change-Point Detection in Meteorological Measurement

Daniela Jarušková

47 citations0/0 files storedMonthly Weather Review

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Advanced Statistical Process Monitoring Climate variability and models Precipitation Measurement and Analysis

Abstract

Statistical methods of change-point detection can be useful for discovering inhomogeneities in precipitation, air pressure, or temperature time series caused by a change in the measurement process such as a relocation of a gauge. The method is based on a second correlated series that can be relied on to be correct, following the approach suggested by Potter. A summary of the latest methods is given, and the necessary tests and their critical values are provided. An application to air pressure series measured at three Swiss meteorological stations is presented.

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2010Exact asymptotic distribution of change-point mle for change in the mean of Gaussian sequences 2010Change-Point Problems: Bibliography and Review 2013Testing for multiple change points 2002Off-Line Statistical Process Control 2010A composite statistical method for the detection of multiple undocumented abrupt changes in the mean value within a time series 2011Application of Change-Point Detection to a Structural Component of Water Quality Variables 2015Change-Point Method Applied to the Detection of Temporal Variations in Seafloor Bacterial Mat Coverage

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