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Estimating the probability of tropical cyclone rapid intensification (RI)
Principal Investigator:
John Kaplan
Collaborating scientist:
Mark DeMaria (NESDIS)
The TPC/NHC has identified predicting the onset, duration and magnitude of
tropical cyclone rapid intensification (RI) events as their number one
forecast priority. Since current operational tropical cyclone intensity
forecast models have not yet demonstrated the ability to predict rapid
intensification events adequately, Kaplan and DeMaria (2003) developed a
simple index for estimating the probability of RI (defined as the 95th
percentile of all over-water 24-h intensity changes or 30 kt) for systems
in the Atlantic basin using SHIPS model output (DeMaria et al. 2005). The
threshold version of the RI index compares the magnitude of
seven RI predictors determined from operational
SHIPS model output to previously determined RI
thresholds. It was provided in real-time to the Tropical Prediction
Center/National Hurricane Center (TPC/NHC) from 2001-2003 with financial
support from the NOAA Joint Hurricane Testbed (JHT) and was made operational
by TPC/NHC starting with the 2004 Hurricane season. Recently, an RI index
analogous to the Atlantic version was also developed for use in the E. Pacific
basin with financial support from the JHT. An RI threshold of 35 kt in 24-h
was employed in the E. Pacific basin since this corresponded to the 95%
percentile of all over-water 24 hr intensity changes in that basin. The
E. Pacific RI index was run experimentally during the 2004 hurricane season.
A weakness of the threshold version of the RI index is that the estimates
of the probability of RI are determined by comparing the magnitudes of each of
the RI predictors to a single (fixed) RI threshold. Consequently, an RI
predictor that barely meets an RI threshold (and thus is viewed as marginally
conducive for RI) is given the same weight as one that is much more conducive
to the likelihood that a system may undergo RI. To ameliorate this problem,
the RI index was reformulated so that the degree to which an RI predictor was
determined to be conducive to the occurrence of RI was used quantitatively to
assess the probability of RI. Specifically, the maximum and minimum values at
which RI was observed to have occurred were employed to determine the scaled
contribution of each of the 7 RI predictors. The scaled index value of each
predictor was 0 when it was the least conducive for RI and 1 when it was the
most conducive so that the total scaled magnitude for any given case could
vary from 0 to 7. Figure 1 shows a comparison
of the Brier skill (Wilks 1995) of the threshold and scaled versions of the
RI index relative to the climatological probability of RI for the 1995-2003
developmental samples. The figure shows that the scaled version had slightly
more skill in the Atlantic basin and significantly more skill in the E. Pacific
basin. Figure 2 shows an independent evaluation
of the skill of the threshold and scaled versions of the RI index obtained by
re-running the 2004 season cases using the operational data collected in
real-time. The figure shows that the scaled version of the RI index had 7 to
10% more skill than the threshold version in the Atlantic and E. Pacific
basins, respectively. However, neither version had skill in the Atlantic
basin for the 2004 season.
Sensitivity tests were conducted to evaluate how the skill of the RI index
varied for different intensity thresholds. For these tests, the scaled RI
index was re-derived for 3 additional intensity thresholds in each basin
(20,25, and 35 kt in the Atlantic and 20,25, and 30 in the E. Pacific) by
employing the same 1995-2003 dependent database that was previously employed
to derive the RI index. Figure 3 shows that the level of skill increases as
the intensity threshold decreases and that the skill is substantially greater
in the E. Pacific than it is for the Atlantic basin. An independent assessment
of the level of skill of the RI index for the 4 different intensity thresholds
(20,25,30,35 kt) was conducted by re-running the 2004 cases using the
operational data collected in real-time during the 2004 hurricane season.
Figure 4 shows that the trends observed for the dependent results depicted in
Fig. 3 were also visible for the independent 2004 sample. Specifically, the RI
index was more skillful in the E. Pacific basin than the Atlantic basin and the
index was more skillful for lower intensity thresholds. Based upon the
results shown in Fig. 4 the TPC has decided to run the version of the RI index
derived using an intensity threshold of 25 kt for a 24-h period during the
2005 Atlantic and E. Pacific hurricane season. This equates to about the
90% percentile of all 24-h over-water intensity changes.
FY04-05 Achievements:
- Published manuscript on RI in Journal of Weather and Forecasting
Dec. 2003
- The Atlantic RI index was successfully transitioned to operations at the
TPC/NHC in December 2003 and was run operationally in the Atlantic basin during
the 2004 Atlantic hurricane season.
- The E. Pacific version of the RI index was run in real-time on an experimental
basis during the 2004 E. Pacific hurricane season.
- An updated version of the RI index that employs a new scaling technique to
estimate the RI probabilities was developed for the Atlantic and E. Pacific basins.
FY05-06 Milestones:
- Run the scaled version of the RI index operationally in the Atlantic basin and
experimentally in the E. Pacific basin during the 2005 hurricane season.
- Provide code and documentation required to re-derive the RI index in future
seasons to TPC/NHC.
- Commence the development of an updated version of the RI index that weights
predictors based upon discriminate analysis.
Key references:
Kaplan, J., and M. DeMaria, 2003: Large-scale characteristics of rapidly
intensifying tropical cyclones in the North Atlantic basin. Wea.
Forecasting, 18, 1093-1108.
DeMaria, M., M. Manelli, L.K. Shay, J.A. Knaff, and J. Kaplan,
2005: Further improvements to the Statistical
Hurricane Intensity Prediction Scheme (SHIPS), Wea. Forecasting,
in Press.
Wilks, D.S., 1995: Statistical Methods in the Atmospheric Sciences,
Academic Press, 467pp.
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Last Modified : May 20, 2005
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