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Spatially and temporally consistent prediction of heavy precipitation from mean values

Author

Listed:
  • R. E. Benestad

    (The Norwegian Meteorological Institute)

  • D. Nychka

    (National Center for Atmospheric Research)

  • L. O. Mearns

    (National Center for Atmospheric Research)

Abstract

The discovery of an apparently universal function describing the frequency distribution for 24-h precipitation leads to a formula relating heavy precipitation to the mean amounts and the number of days when it rains. The formula has been validated using more than 30,000 daily rain-gauge records from around the world.

Suggested Citation

  • R. E. Benestad & D. Nychka & L. O. Mearns, 2012. "Spatially and temporally consistent prediction of heavy precipitation from mean values," Nature Climate Change, Nature, vol. 2(7), pages 544-547, July.
    • Handle: RePEc:nat:natcli:v:2:y:2012:i:7:d:10.1038_nclimate1497
    DOI: 10.1038/nclimate1497
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    Cited by:

    1. Jonathan Jalbert & Christian Genest & Luc Perreault, 2022. "Interpolation of Precipitation Extremes on a Large Domain Toward IDF Curve Construction at Unmonitored Locations," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(3), pages 461-486, September.
    2. A. Casanueva & S. Herrera & J. Fernández & J.M. Gutiérrez, 2016. "Towards a fair comparison of statistical and dynamical downscaling in the framework of the EURO-CORDEX initiative," Climatic Change, Springer, vol. 137(3), pages 411-426, August.

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