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Developing a Heatwave Early Warning System for Sweden: Evaluating Sensitivity of Different Epidemiological Modelling Approaches to Forecast Temperatures

Author

Listed:
  • Christofer Åström

    (Public Health and Clinical Medicine, Occupational and Environmental Medicin, Umeå University, SE901 87 Umeå, Sweden)

  • Kristie L. Ebi

    (Public Health and Clinical Medicine, Occupational and Environmental Medicin, Umeå University, SE901 87 Umeå, Sweden
    These authors contributed equally to this work.)

  • Joakim Langner

    (Swedish Meteorological and Hydrological Institute, SE601 76 Norrköping, Sweden
    These authors contributed equally to this work.)

  • Bertil Forsberg

    (Public Health and Clinical Medicine, Occupational and Environmental Medicin, Umeå University, SE901 87 Umeå, Sweden
    These authors contributed equally to this work.)

Abstract

Over the last two decades a number of heatwaves have brought the need for heatwave early warning systems (HEWS) to the attention of many European governments. The HEWS in Europe are operating under the assumption that there is a high correlation between observed and forecasted temperatures. We investigated the sensitivity of different temperature mortality relationships when using forecast temperatures. We modelled mortality in Stockholm using observed temperatures and made predictions using forecast temperatures from the European Centre for Medium-range Weather Forecasts to assess the sensitivity. We found that the forecast will alter the expected future risk differently for different temperature mortality relationships. The more complex models seemed more sensitive to inaccurate forecasts. Despite the difference between models, there was a high agreement between models when identifying risk-days. We find that considerations of the accuracy in temperature forecasts should be part of the design of a HEWS. Currently operating HEWS do evaluate their predictive performance; this information should also be part of the evaluation of the epidemiological models that are the foundation in the HEWS. The most accurate description of the relationship between high temperature and mortality might not be the most suitable or practical when incorporated into a HEWS.

Suggested Citation

  • Christofer Åström & Kristie L. Ebi & Joakim Langner & Bertil Forsberg, 2014. "Developing a Heatwave Early Warning System for Sweden: Evaluating Sensitivity of Different Epidemiological Modelling Approaches to Forecast Temperatures," IJERPH, MDPI, vol. 12(1), pages 1-14, December.
    • Handle: RePEc:gam:jijerp:v:12:y:2014:i:1:p:254-267:d:43858
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    References listed on IDEAS

    as
    1. Gasparrini, Antonio, 2011. "Distributed Lag Linear and Non-Linear Models in R: The Package dlnm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i08).
    2. Dianne Lowe & Kristie L. Ebi & Bertil Forsberg, 2011. "Heatwave Early Warning Systems and Adaptation Advice to Reduce Human Health Consequences of Heatwaves," IJERPH, MDPI, vol. 8(12), pages 1-26, December.
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