Technical Notes
Dec 16, 2022

Limitations of NOAA Atlas 14 Rainfall Statistics in Florida

Publication: Journal of Hydrologic Engineering
Volume 28, Issue 3

Abstract

Several approximations are used in deriving the National Oceanic and Atmospheric Administration (NOAA) Atlas 14 depth-duration-frequency (DDF) functions from annual maximum series (AMS) of rainfall amounts over various durations. Analyses reported in this paper show that the return periods in Atlas 14 DDF functions for Florida are likely overestimated at about 10% of the base stations for durations of 15 min, 1 h, and 24 h. This relatively high incidence of return-period overestimation is also evidenced by measurements at several stations having very high Atlas 14-estimated return periods. Comparison of the Atlas 14 generalized extreme value (GEV) distributions of rainfall with sample distributions derived from AMS data show agreement at only 68%, 64%, and 30% of all base stations for durations of 15 min, 1 h, and 24 h, respectively. It is concluded that the expected rainfall amounts for given durations are not always reliable over the Atlas 14 range of return periods.

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Data Availability Statement

Some or all data, models, or code used during the study were provided by a third party. The Atlas 14 dataare provided by the National Oceanic and Atmospheric Administration and can be found online at https://hdsc.nws.noaa.gov/hdsc/pfds/.

References

Burn, D. 1990. “Evaluation of regional flood frequency analysis with a region of influence approach.” Water Resour. Res. 26 (10): 2257–2265. https://doi.org/10.1029/WR026i010p02257.
Chin, D., M. Jacketti, N. Karpathy, and P. Sahwell. 2019. “Accounting for tropical cyclones in extreme rainfall distributions in Florida.” J. Hydrol. Eng. 24 (11): 05019028. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001858.
Langbein, W. 1949. “Annual floods and the partial-duration flood series.” Trans. Am. Geophys. Union 30 (6): 879–881. https://doi.org/10.1029/TR030i006p00879.
Massey, F. 1951. “The Kolmogorov-Smirnov test for goodness of fit.” J. Am. Stat. Assoc. 46 (253): 68–78. https://doi.org/10.1080/01621459.1951.10500769.
NOAA (National Oceanic and Atmospheric Administration). 2022. “Precipitation frequency data server.” Accessed December, 2022. https://hdsc.nws.noaa.gov/hdsc/pfds/.
Perica, S., D. Martin, S. Pavlovic, I. Roy, M. S. Laurent, C. A. R. L. Trypaluk, D. Unruh, M. Yekta, and G. Bonnin. 2013. NOAA Atlas 14 Volume 9 version 2, precipitation-frequency atlas of the United States, southeastern states. Silver Spring, MD: National Weather Service.
Weibull, W. 1939. “A statistical theory of the strength of materials.” Ingeniors Vetenskaps Akademien, Handlingar (Stockholm) 151: 1–45.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 28Issue 3March 2023

History

Received: Jul 26, 2022
Accepted: Oct 26, 2022
Published online: Dec 16, 2022
Published in print: Mar 1, 2023
Discussion open until: May 16, 2023

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Authors

Affiliations

Professor of Civil and Environmental Engineering, Dept. of Chemical, Environmental, and Materials Engineering, Univ. of Miami, Coral Gables, FL 33124. ORCID: https://orcid.org/0000-0003-4530-5484. Email: [email protected]

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Cited by

  • Flood Mitigation Using Channelization and Detention Given Changing Rainfall Conditions in Houston, Natural Hazards Review, 10.1061/NHREFO.NHENG-1861, 24, 4, (2023).
  • Design Hydrographs in Small Watersheds from General Unit Hydrograph Model and NRCS-NOAA Rainfall Distributions, Journal of Hydrologic Engineering, 10.1061/JHYEFF.HEENG-5942, 28, 5, (2023).

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