A short note on quantifying and visualizing yearly variation in online monitored temperature data

Kauermann, Göran and Mestekemper, Thomas (2012): A short note on quantifying and visualizing yearly variation in online monitored temperature data. In: Statistical Modelling, Vol. 12, No. 2: pp. 195-209

Abstract

The paper demonstrates how seasonal variation in sequentially arriving temperature data can be visualized by the specification of landmarks and subsequent time warping. We exemplify the idea with water temperature data from the river Wupper in northwestern Germany and with air temperature data from Berlin, Germany. Landmarks are thereby based on temperature thresholds. The method allows to assess whether the seasonal variation is running ahead or behind the average.

• Item Type: Journal article
• Form of publication: Publisher's Version
• Faculties: Mathematics, Computer Science and Statistics > Statistics
• Subjects: 300 Social sciences > 300 Social sciences, sociology and anthropology; 300 Social sciences > 310 Statistics
• Alliance/National Licence: This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
• Language: English