Dolueg: A Measurement Network’s Face

• Published in: Bulletin of the American Meteorological Society 2021-07, Vol.102 (7), p.629-631
• Main Authors: Spirig, Robert, Feigenwinter, Christian, Kalberer, Markus, Parlow, Eberhard, Vogt, Roland
• Format: Article
• Language: English
• Subjects: Air temperature; Graphs; Heat; Island effects; Measurement; Nomograms; Quality control; Rural areas; Temperature differences; Temperature gradients; Time of use; Time series; Urban areas; Urban heat islands; Visualization (Computers); Water temperature; Web sites; Websites; Wind roses
• ISSN: 0003-0007; 1520-0477
• DOI: 10.1175/BAMS-D-20-0196.1

Dolueg has proven its value for the detection of malfunctioning devices, showcasing interesting meteorological phenomena, and above all ensuring that the flow of data from our stations into the database can be easily checked and fixed, if need be. Because Dolueg is free, easy to use, and adjustable, it is especially suitable for measurement network operators, that is, when time series are constantly collected and are in need of visual quality control in addition to any automatic checks. Dolueg example (c) is the default line plot that illustrates the air temperature at two stations (red, urban; green, rural) and the water temperature (blue) at a third one, and (d) is an “iso”(pleth) plot that depicts air temperature difference between a rural and an urban station (urban heat island effect). Dolueg example (c) is the default line plot that illustrates the air temperature at two stations (red, urban; green, rural) and the water temperature (blue) at a third one, and (d) is an “iso”(pleth) plot that depicts air temperature difference between a rural and an urban station (urban heat island effect). Dolueg example (c) is the default line plot that illustrates the air temperature at two stations (red, urban; green, rural) and the water temperature (blue) at a third one, and (d) is an “iso”(pleth) plot that depicts air temperature difference between a rural and an urban station (urban heat island effect). Several kinds of figures for time series data are available (Figs. 1b–e): wind roses for one or several stations drawn over a map background, the default line plots, isopleth/contour graphs as time of day versus day of year, and mesh plots of measurement values at several heights.