Assessing temperature anomalies for a geographical region: a control chart approach

✍ Scribed by Robert Lund; Lynne Seymour

• Book ID: 101277801
• Publisher: John Wiley and Sons
• Year: 1999
• Tongue: English
• Weight: 308 KB
• Volume: 10
• Category: Article
• ISSN: 1180-4009
• DOI: 10.1002/(sici)1099-095x(199903/04)10:2<163::aid-env345>3.0.co;2-l

✦ Synopsis

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 quanti®cation of temperature ¯uctuations. 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.