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International Conference on Latent Variable Analysis and Signal Separation

LVA/ICA 2017: Latent Variable Analysis and Signal Separation pp 333–343Cite as

Multimodality for Rainfall Measurement

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10169))

Abstract

The need for accurate monitoring of rainfall, essential for many fields such as: hydrology, transportation and agriculture, calls for optimal use of all available resources. However, as the existing monitoring equipment is diverse, and different tools provide measurements of different nature, fusing these measurements is a challenging task. At one extreme, rain gauges provide local, direct measurements of the accumulated rainfall, and at the other end, satellite observations provide remote images of clouds, from which rainfall is estimated. In between, weather radar measures reflectivity which is non-linearly related to rainfall. In light of the new opportunities introduced by the use of physical measurements from cellular communication networks for rainfall monitoring, I first review the approaches for fusion of different rainfall direct and indirect measurements, distinguishing it from data assimilation, widely used in meteorology. I will then suggest a unified approach to the problem, combining parametric and non-parametric tools, and will present preliminary results.

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Notes

  1. 1.

    http://www.ecmwf.int/en/research/data-assimilation.

  2. 2.

    http://www.wmo.int/pages/prog/www/WRO/index_en.html.

  3. 3.

    http://www.wmo.int/pages/prog/www/WRO/index_en.html.

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Acknowledgments

I deeply thank all past and present members of our research team in Tel Aviv University, co-led by Prof. PinhasAlpet for their fruitful cooperation and discussions. We thank our friends in the Israeli cellular providers: Cellcom, Pelephone, and PHI who providing us datafor more than a decade. Special thanks to InbarFijalkow and to Elad Heiman for fruitful joint work and the preliminary results.

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Authors and Affiliations

  1. School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel

    Hagit Messer

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  1. Hagit Messer
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Correspondence to Hagit Messer .

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Editors and Affiliations

  1. Institute of Information Theory and Automation, Prague, Czech Republic

    Petr Tichavský

  2. Sharif University of Technology, Tehran, Iran

    Massoud Babaie-Zadeh

  3. Grenoble-Alpes University, Grenoble, France

    Olivier J.J. Michel

  4. Toulon University, Toulon, France

    Nadège Thirion-Moreau

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Messer, H. (2017). Multimodality for Rainfall Measurement. In: Tichavský, P., Babaie-Zadeh, M., Michel, O., Thirion-Moreau, N. (eds) Latent Variable Analysis and Signal Separation. LVA/ICA 2017. Lecture Notes in Computer Science(), vol 10169. Springer, Cham. https://doi.org/10.1007/978-3-319-53547-0_32

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  • DOI: https://doi.org/10.1007/978-3-319-53547-0_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53546-3

  • Online ISBN: 978-3-319-53547-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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