Accounting for Tropical Cyclones in Extreme Rainfall Distributions in Florida
Publication: Journal of Hydrologic Engineering
Volume 24, Issue 11
Abstract
This study investigates the contribution of tropical cyclones to the statistics of extreme rainfall events in Florida for durations ranging between 15 min and 7 days. It is shown that, at most rain-gauge locations, the probability distribution of annual maximum rainfall amounts associated with tropical cyclones is significantly different from the probability distribution of annual maximum rainfall amounts not associated with tropical cyclones. Typically, the probability distribution of the annual maximum rainfall can be better described by a mixed probability distribution rather than by the conventional lumped distribution, leading to differences in the estimated rainfall amounts associated with given return periods. The results presented in this paper indicate that more accurate intensity-duration-frequency functions could be obtained by separately accounting for rainfall associated with tropical cyclones.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available in a repository or online in accordance with funder data retention policies. The AMS data can be found at https://hdsc.nws.noaa.gov/hdsc/pfds, and the TC data can be found at https://www.nhc.noaa.gov/data/. The TC data is cataloged online as the HURDAT2 data set.
References
Bonnin, G., K. Maitaria, and M. Yekta. 2011. “Trends in rainfall exceedances in the observed record in selected areas of the United States.” J. Am. Water Resour. Assoc. 47 (6): 1173–1182. https://doi.org/10.1111/j.1752-1688.2011.00603.x.
Chin, D. 2013. Water-resources engineering. 3rd ed. Upper Saddle River, NJ: Pearson.
HDSC (Hydrometeorological Design Studies Center). 2019. “Precipitation frequency data server.” Accessed January 1, 2019. https://hdsc.nws.noaa.gov/hdsc/pfds.
Khouakhi, A., G. Villarini, and G. Vecchi. 2017. “Contribution of tropical cyclones to rainfall at the global scale.” J. Clim. 30 (1): 359–372. https://doi.org/10.1175/JCLI-D-16-0298.1.
Knight, D. B., and R. E. Davis. 2009. “Contribution of tropical cyclones to extreme rainfall events in the southeastern United States.” J. Geophys. Res. 114 (D23): 1–17. https://doi.org/10.1029/2009JD012511.
Kunkel, K., D. Easterling, D. Kristovich, B. Gleason, L. Stoecker, and R. Smith. 2010. “Recent increases in US heavy precipitation associated with tropical cyclones.” Geophys. Res. Lett. 37 (L2): 1–4. https://doi.org/10.1029/2010GL045164.
Maimone, M., S. Malter, J. Rockwell, and V. Raj. 2019. “Transforming global climate model precipitation output for use in urban stormwater applications.” J. Water Resour. Plann. Manage. 145 (6): 04019021. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001071.
Marsaglia, G., W. Tsang, and J. Wang. 2003. “Evaluating Kolmogorov’s distribution.” J. Stat. Software 8 (18): 1–4. https://doi.org/10.18637/jss.v008.i18.
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.
Matayas, C. 2005. “Relating tropical cyclone rainfall patterns to storm size.” Delivered at the Association of American Geographers South East Division Annual Meeting, November 21, West Palm Beach, FL. Accessed February 19, 2019. https://ams.confex.com/ams/pdfpapers/108831.pdf.
Murphy, P. 2001. “Evaluation of mixed-population flood-frequency analysis.” J. Hydrol. Eng. 6 (1): 62–70. https://doi.org/10.1061/(ASCE)1084-0699(2001)6:1(62).
NHC (National Hurricane Center). 2019. “NHC data archive.” Accessed January 1, 2019. https://www.nhc.noaa.gov/data/.
Perica, S., D. Martin, S. Pavlovic, M. S. L. Ishani Roy, C. Trypaluk, D. Unruh, M. Yekta, and G. Bonnin. 2013. NOAA Atlas 14, precipitation-frequency atlas of the United States, volume 9 version 2.0: Southeastern states (Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi). Silver Spring, MD: US Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service.
Perica, S., S. Pavlovic, M. S. Laurent, C. Trypaluk, D. Unruh, D. Martin, and O. Wilhite. 2015. NOAA Atlas 14, precipitation-frequency atlas of the United States, volume 10 version 2.0: Northeastern states (Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, Vermont). Silver Spring, MD: US Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service.
Razali, N., and Y. Wah. 2011. “Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests.” J. Stat. Model. Anal. 2 (1): 21–33.
Vincenty, T. 1975. “Direct and inverse solutions of geodesics on the ellipsoid with application of nested equations.” Surv. Rev. 23 (176): 88–93. https://doi.org/10.1179/sre.1975.23.176.88.
Wright, D., and K. Holman. 2019. “Rescaling transposed extreme rainfall within a heterogeneous region.” J. Hydrol. Eng. 24 (6): 06019001. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001781.
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©2019 American Society of Civil Engineers.
History
Received: Apr 2, 2019
Accepted: Jul 15, 2019
Published online: Sep 9, 2019
Published in print: Nov 1, 2019
Discussion open until: Feb 9, 2020
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