Long-term Multispectral Measurements of Skyglow Using Sky Quality Meters Christopher Kyba 1,2, Thomas Ruhtz 1, Jürgen Fischer 1, Franz Hölker 2 1 Freie.

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Presentation transcript:

Long-term Multispectral Measurements of Skyglow Using Sky Quality Meters Christopher Kyba 1,2, Thomas Ruhtz 1, Jürgen Fischer 1, Franz Hölker 2 1 Freie Universität Berlin 2 Leibniz-Institute of Freshwater Ecology and Inland Fisheries 11th Dark Sky Symposium, Osnabrück October 6, 2011

Verlust der Nacht (Loss of the Night) Collaboration of 9 Universities / Institutes 14 Integrated Subprojects Many aspects of light pollution considered, from measurement to ecology to sociology

Requirements for Long Term Light Pollution Monitoring Devices Must be robust In situ calibration should be possible Multispectral –Circadian disruption –Monitor shift to LED lighting Inexpensive / Easy to operate Temperature stable (ideally warmed) Zenith vs. 180 o

Existing Light Pollution Detectors Human eye Phototubes Imaging spectrometers Digital color cameras Cell phone cameras Custom devices IYA Lightmeter SQM

Cloud Amplification of Light Pollution Urban overcast sky is ~10x brighter than clear Effect is reverse of what happens in nature Summer comparison published in Kyba et al., PLoS ONE (2011) cloudyclear mag/arcsec 2

Prototype Detector Set of SQM-LU with 5 different filters Standard SQM-LU Luminous nm Red nm Green nm Blue nm Operated April-Sept, 2011

Cross-Calibration and Alignment Compared at start and end of experiment Cleaning difference 0.15 mag/arcsec 2 After 6 months  =0.07 mag/arcsec 2 Within Unihedron specs (~0.1 mag/arcsec 2 ) mag/arcsec 2 local time (h)

Preliminary Results 1 Cloud amplification is much stronger for red light (17.2x) than blue (6.8x) Consistent with expectation Standard SQM value is in between (11x) oktas Cloud amp factor

Preliminary Results 2 Can monitor nightly and seasonal changes Can monitor long term switch to LED lighting Results could be used to build a “circadian exposure” dataset Work in progress time (h) brightness

Acknowledgements Photo Credits Skyglow (Orion): Jeremy Stanley (Wikipedia Commons) Map of Berlin: FU Berlin Globe at Night HPS Spectrum: Elvidge et al Fisheye Photo: Andreas Hänel IYA Lightmeter: Lightmeter wiki Glacier National Park: Ray Stinson Urban Sky+SQM: Christopher Kyba Light pollution map: WEW FU Berlin Funding BMBF 033L038A MILIEU (FU Berlin)

Requirements for Long Term Light Pollution Monitoring Devices Must be robust In situ calibration should be possible Multispectral –Circadian disruption –Monitor shift to LED lighting Inexpensive / Easy to operate Temperature stable (ideally warmed) Zenith vs. 180 o