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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amtd-5-5725-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amtd-5-5725-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Submitted as: research article 17 Aug 2012

Submitted as: research article | 17 Aug 2012

Review status
This discussion paper is a preprint. It has been under review for the journal Atmospheric Measurement Techniques (AMT). The revised manuscript was not accepted.

Novel method for fog monitoring using cellular networks infrastructures

N. David1, P. Alpert1,2, and H. Messer3 N. David et al.
  • 1The Department of Geophysical, Atmospheric and Planetary Sciences, Tel-Aviv University, Tel Aviv, Israel
  • 2The Porter School of Environmental Studies, Tel-Aviv University, Tel Aviv, Israel
  • 3The School of Electrical Engineering, Tel-Aviv University, Tel Aviv, Israel

Abstract. A major detrimental effect of fog is visibility limitation which can result in serious transportation accidents, traffic delays and therefore economic damage. Existing monitoring techniques including satellites, transmissometers and human observers – suffer from low spatial resolution, high cost or lack of precision when measuring near ground level. Here we show a novel technique for fog monitoring using wireless communication systems. Communication networks widely deploy commercial microwave links across the terrain at ground level. Operating at frequencies of tens of GHz they are affected by fog and are, effectively, an existing, spatially world-wide distributed sensor network that can provide crucial information about fog concentration and visibility. Fog monitoring potential is demonstrated for a heavy fog event that took place in Israel. The correlation between transmissomters and human eye observations to the visibility estimates from the nearby microwave links was found to be 0.53 and 0.61, respectively. These values indicate the high potential of the proposed method.

N. David et al.
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
N. David et al.
N. David et al.
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