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.
| Original language | English (US) |
|---|---|
| Article number | 05019028 |
| Journal | Journal of Hydrologic Engineering |
| Volume | 24 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 1 2019 |
| Externally published | Yes |
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Keywords
- Hurricanes
- Mixed probability distributions
- Rainfall
ASJC Scopus subject areas
- Environmental Chemistry
- Civil and Structural Engineering
- Water Science and Technology
- Environmental Science(all)
Cite this
Accounting for Tropical Cyclones in Extreme Rainfall Distributions in Florida. / Chin, David A.; Jacketti, Mary A.; Karpathy, Nicholas S.; Sahwell, Peter J.
In: Journal of Hydrologic Engineering, Vol. 24, No. 11, 05019028, 01.11.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Accounting for Tropical Cyclones in Extreme Rainfall Distributions in Florida
AU - Chin, David A.
AU - Jacketti, Mary A.
AU - Karpathy, Nicholas S.
AU - Sahwell, Peter J.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - 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.
AB - 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.
KW - Hurricanes
KW - Mixed probability distributions
KW - Rainfall
UR - http://www.scopus.com/inward/record.url?scp=85072114734&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072114734&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)HE.1943-5584.0001858
DO - 10.1061/(ASCE)HE.1943-5584.0001858
M3 - Article
AN - SCOPUS:85072114734
VL - 24
JO - Journal of Hydrologic Engineering - ASCE
JF - Journal of Hydrologic Engineering - ASCE
SN - 1084-0699
IS - 11
M1 - 05019028
ER -