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Assessing temperature anomalies for a geographical region: a control chart approach
Author(s) -
Lund Robert,
Seymour Lynne
Publication year - 1999
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/(sici)1099-095x(199903/04)10:2<163::aid-env345>3.0.co;2-l
Subject(s) - chart , control chart , series (stratigraphy) , statistics , \bar x and r chart , econometrics , environmental science , mathematics , computer science , ewma chart , geology , paleontology , process (computing) , operating system
An X ‐bar control chart is developed to quantify monthly temperature anomalies for a geographical region. The developed chart accounts for space–time correlations in the temperatures and allows for accurate statistical quantification of temperature fluctuations. The methods presented can also be used to probabilistically quantify the severity of hot and cold periods. Using time series prediction techniques, a control chart for monthly average temperature data is developed for an arbitrary number of recording stations. The proposed chart takes into account trends, seasonality in the means and variances of the temperatures, and perhaps most importantly, the temporal and spatial correlations also present in such data. The results are applied in the analysis of six monthly temperature series from the southeastern United States during 1900–1993. Copyright © 1999 John Wiley & Sons, Ltd.