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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 3, issue 2
Hydrol. Earth Syst. Sci., 3, 205–212, 1999
https://doi.org/10.5194/hess-3-205-1999
© Author(s) 1999. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Hydrol. Earth Syst. Sci., 3, 205–212, 1999
https://doi.org/10.5194/hess-3-205-1999
© Author(s) 1999. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  30 Jun 1999

30 Jun 1999

The FORGEX method of rainfall growth estimation III: Examples and confidence intervals

D. S. Faulkner and D. A. Jones D. S. Faulkner and D. A. Jones
  • Institute of Hydrology, Wallingford, Oxfordshire, OX10 8BB, UK
  • e-mail for corresponding author: duncan.faulkner@jeremybenn.co.uk

Abstract. This paper illustrates the performance of the FORGEX method of rainfall growth estimation. Results are presented for three regions of the United Kingdom: the East Midlands, north-west England and south-west England. Focused rainfall growth curves are compared between regions and between different sites within each region. Typical growth curve shapes are discussed with reference to the climate of each region. Daily growth curves are derived from a large number of records of annual maximum rainfalls. A smaller number of hourly annual maximum series is available for estimation sub-daily rainfall growth curves.
Rainfall growth rates are compared with the results of a widely used method. The present method allows more local and regional variation in growth rates. The new growth rates are higher for durations of 1 and 2 days in parts of south-west England, but lower for moderate return periods at some focal points in the north-west. In the East Midlands, the new 1-hour growth rates are considerably higher for long return periods.
Confidence limits for growth rates are derived by bootstrapping. This is accomplished by fitting a large number of growth curves to resampled sets of rainfall data.

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