Social Media as a Source of Meteorological Observations

Otto Hyvärinen Finnish Meteorological Institute, Helsinki, Finland

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Elena Saltikoff Finnish Meteorological Institute, Helsinki, Finland

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Abstract

An increasing number of people leave their mark on the Internet by publishing personal notes (e.g., text, photos, videos) on Web-based services such as Facebook and Flickr. This creates a vast source of information that could be utilized in meteorology, for example, as a complement to traditional weather observations. Photo-sharing services offer an increasing amount of useful data, as modern mobile devices can automatically include coordinates and time stamps on photos, and users can easily tag them for content. In this study, different weather-related photos and their metadata were accessed from the photo-sharing service Flickr, and their reliability was assessed. Case studies of hail detection were then performed. The position of hail detected in the atmosphere by radar was compared with positions of Flickr photos depicting hail on the ground. As a result of this preliminary study, the authors think that further exploration of the use of Flickr photographs is warranted, and the consideration of other social media as data sources can be recommended.

Corresponding author address: Otto Hyvärinen, Finnish Meteorological Institute, P.O. Box 503, FI-00101 Helsinki, Finland. Email: otto.hyvarinen@fmi.fi

Abstract

An increasing number of people leave their mark on the Internet by publishing personal notes (e.g., text, photos, videos) on Web-based services such as Facebook and Flickr. This creates a vast source of information that could be utilized in meteorology, for example, as a complement to traditional weather observations. Photo-sharing services offer an increasing amount of useful data, as modern mobile devices can automatically include coordinates and time stamps on photos, and users can easily tag them for content. In this study, different weather-related photos and their metadata were accessed from the photo-sharing service Flickr, and their reliability was assessed. Case studies of hail detection were then performed. The position of hail detected in the atmosphere by radar was compared with positions of Flickr photos depicting hail on the ground. As a result of this preliminary study, the authors think that further exploration of the use of Flickr photographs is warranted, and the consideration of other social media as data sources can be recommended.

Corresponding author address: Otto Hyvärinen, Finnish Meteorological Institute, P.O. Box 503, FI-00101 Helsinki, Finland. Email: otto.hyvarinen@fmi.fi

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  • Barnes, S. B., 2009: Relationship networking: Society and education. J. Comput. Mediat. Commun., 14 , 735742. doi:10.1111/j.1083-6101.2009.01464.x.

    • Search Google Scholar
    • Export Citation
  • Bishop, C. M., 2006: Pattern Recognition and Machine Learning. Springer-Verlag, 729 pp.

  • Conover, W. J., 1999: Practical Nonparametric Statistics. 3rd ed. John Wiley & Sons, Inc., 584 pp.

  • Dalezios, N. R., M. V. Sioutas, and T. V. Karacostas, 1991: A systematic hailpad calibration procedure for operational hail suppression in Greece. Meteor. Atmos. Phys., 45 , 101111.

    • Search Google Scholar
    • Export Citation
  • Eden, P., 2009: Traditional weather observing in the UK: An historical overview. Weather, 64 , 239245. doi:10.1002/wea.469.

  • Ferree, J. T., J. Demuth, G. M. Eosco, and N. S. Johnson, 2009: The increasing role of social media during high impact weather events. Preprints, 37th Conf. on Broadcast Meteorology, Portland, OR, Amer. Meteor. Soc., 4.1A.

    • Search Google Scholar
    • Export Citation
  • Fiebrich, C. A., 2009: History of surface weather observations in the United States. Earth Sci. Rev., 93 , 7784. doi:10.1016/j.earscirev.2009.01.001.

    • Search Google Scholar
    • Export Citation
  • Fitzgerald, B. F., J. M. Coates, and S. M. Lewis, 2007: Open Content Licensing: Cultivating the Creative Commons. Sydney University Press, 253 pp.

    • Search Google Scholar
    • Export Citation
  • Gonzalez, R., and R. Woods, 2008: Digital Image Processing. 3rd ed. Prentice Hall, 954 pp.

  • Ginsberg, J., M. H. Mohebbi, R. S. Patel, L. Brammer, M. S. Smolinski, and L. Brilliant, 2009: Detecting influenza epidemics using search engine query data. Nature, 457 , 10121014. doi:10.1038/nature07634.

    • Search Google Scholar
    • Export Citation
  • Heymann, P., G. Koutrika, and H. Garcia-Molina, 2007: Fighting Spam on social Web sites: A survey of approaches and future challenges. IEEE Internet Comput., 11 , 3645.

    • Search Google Scholar
    • Export Citation
  • Keränen, R., E. Saltikoff, V. Chandrasekar, S. Lim, J. Holmes, and J. Selzler, 2007: Real-time hydrometeor classification for the operational forecasting environment. Preprints, 33rd Int. Conf. on Radar Meteorology, Cairns, Australia, Amer. Meteor. Soc., P11.B11. [Available online at http://ams.confex.com/ams/pdfpapers/123476.pdf].

    • Search Google Scholar
    • Export Citation
  • Krippendorff, K. H., 2004: Content Analysis: An Introduction to Its Methodology. 2nd ed. Sage Publications, Inc., 440 pp.

  • Manning, C. D., P. Raghavan, and H. Schütze, 2008: Introduction to Information Retrieval. Cambridge University Press, 496 pp.

  • Ortega, K. L., T. M. Smith, K. L. Manross, K. A. Scharfenberg, A. Witt, A. G. Kolodziej, and J. J. Gourley, 2009: The severe hazards analysis and verification experiment. Bull. Amer. Meteor. Soc., 90 , 15191530.

    • Search Google Scholar
    • Export Citation
  • Saltikoff, E., J-P. Tuovinen, H. Hohti, T. Kuitunen, and J. Kotro, 2010: A climatological comparison of radar and ground observations of hail in Finland. J. Appl. Meteor. Climatol., 49 , 101114.

    • Search Google Scholar
    • Export Citation
  • Schuur, T., A. Ryzkhov, and P. Heinselman, 2003: Observations and classification of echoes with polarimetric WSR-88 radar. NSSL Rep., National Severe Storms Laboratory and University of Oklahoma, 46 pp.

    • Search Google Scholar
    • Export Citation
  • Tuomenvirta, H., 2004: Reliable estimation of climatic variation in Finland. Ph.D. dissertation, Finnish Meteorological Institute Contribution 43, 80 pp. [Available online at http://ethesis.helsinki.fi/julkaisut/mat/fysik/vk/tuomenvirta/].

  • Tuovinen, J. P., A. J. Punkka, J. Rauhala, H. Hohti, and D. M. Schultz, 2009: Climatology of severe hail in Finland: 1930–2006. Mon. Wea. Rev., 137 , 22382249.

    • Search Google Scholar
    • Export Citation
  • Vieweg, S., A. L. Hughes, K. Starbird, and L. Palen, 2010: Microblogging during two natural hazards events: What Twitter may contribute to situational awareness. Proc. 28th ACM Conf. on Human Factors in Computing Systems, Atlanta, GA, Association for Computing Machinery, 1079–1088.

    • Search Google Scholar
    • Export Citation
  • Waldvogel, A., B. Federer, and P. Grimm, 1979: Criteria for the detection of hail cells. J. Appl. Meteor., 18 , 15211525.