Locally weighted scatter‐plot smoothing for analysing temperature changes and patterns in Australia

ABSTRACT The mean maximum monthly temperature data were recorded at 112 stations in Australia. The data (1990–2015) were downloaded from the Australian Bureau of Meteorology (BOM) website. Missing values were imputed using regression models based on information from the nearest stations, as well as...

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Veröffentlicht in:	Meteorological applications 2018-07, Vol.25 (3), p.357-364
Hauptverfasser:	Wanishsakpong, Wandee, Notodiputro, Khairil Anwar
Format:	Artikel
Sprache:	eng
Schlagworte:	Atmospheric models Cluster analysis deseasonalized series double exponential smoothing imputation Loess Meteorology Periodic variations Periodicity Regression analysis regression model Regression models Scattering Seasonal variation Seasonal variations Smoothing Stations Temperature Temperature changes Temperature data Temperature effects
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