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FIU Public Hurricane Loss Projection Model
What
is the model?
The model is essentially a very complex, state of the art, set of computer
programs. The programs simulate and predict how, where and when hurricanes
form, their wind speed and intensity and size etc, their track, how they
are affected by the terrain along the track after landfall, how the winds
interact with different types of structures, how much they can damage
house roofs, windows, doors, interior, contents etc, how much it will
cost to rebuild the damaged parts, and how much of the loss will be paid
by insurers.
Design
wise the model consists of three major components: wind hazard (meteorology),
vulnerability (engineering), and insured loss cost (actuarial). It has
over a dozen sub-components. The computer platform is designed to accommodate
future hookups of additional sub-components or enhancements.
What
can the model do?
The model can assess hurricane risk, and predict annual expected insured
residential losses in Florida for an insurance company, zip code, county,
or for the entire state. Separate loss estimates are produced for structure,
content, appurtenant structure, and additional living expenses. These
losses can be reported for portfolios classified by construction type
(e.g. masonry, frame, manufactured homes), by county or zip code, by policy
form (e.g., HO-3, HO-4 etc.), by rating territory, and combinations thereof.
Furthermore, the model can generate for a given portfolio of policies,
the return time, the probability of exceedance, and the probable maximum
loss.
The model
can also immediately predict losses from a given event such as hurricane
Katrina or Wilma. It can, for example, estimate losses from a Cat 5 hurricane
landing in a major metropolitan area such as Miami, Tampa or Jacksonville.
These estimates can be useful to the insurance companies, regulators and
local and state government. Such estimates were provided to OIR for hurricane
Katrina and Wilma last fall.
The model also has some limited capability to estimate the benefit (loss
reduction) from certain mitigation efforts.
Potential
future capabilities
Currently the model can estimate hurricane losses for only residential
structures. The project team can develop additional modules if funding
becomes available. It can design and produce components to estimate losses
for commercial structures and high rises. Similarly, modules can be added
to estimate benefit of mitigation for all types of construction. Model
will then be able to estimate, for example, decline in losses in a two
story frame house with gable roof if it had steel shutters or roof straps.
Modules can be implemented to perform solvency and market analysis for
insurance companies. The team can also develop similar models for other
vulnerable coastal states.
The
model can be used
-
by the state regulators to help evaluate rate filings
-
by insurance companies to assess hurricane risk and generate loss
estimates that can be used as input in the rate making process
-
to assess hurricane risk and predict losses for counties and zip codes
-
to make Cat models affordable for smaller firms
-
to provide a state of the art wind hazard, vulnerability and insured
loss models
-
to
provide a check on the assumptions, analysis and results generated
by the proprietary models
-
to
help evaluate reinsurance risk for, e.g., the Florida CAT Fund
-
to
assess the benefit of disaster mitigation strategies
Why
develop a CAT model?
Traditional actuarial models and practices are inherently ineffective
in dealing with low frequency, high severity catastrophic losses. Losses
are predicted using recent past experience and limited data. This can
lead to volatile premiums, and sharp periodic jump in premiums. This is
bad for homeowners and the insurance firms. CAT models have a long term
horizon, use more realistic models to estimates losses, better deal with
low frequency events, and can potentially result in relatively stable
premiums.
Participating
Institutions
-
Florida International University/ IHRC (lead institution)
-
Florida State University
-
Florida Institute of Technology
-
Hurricane Research Division, NOAA
-
University of Florida
-
University
of Miami
The
project team
| Dr.
Shahid Hamid (PI and Project Director) |
Dept of Finance and IHRC, FIU |
| Dr. Shu-Ching
Chen (Co-PI) |
School of Computer Science, FIU |
| Dr. Jean Paul Pinelli |
Dept of Civil Engineering, FIT |
| Dr. Mark
Powell |
Hurricane Research Division, NOAA |
| Dr. Sneh Gulati |
Dept. of Statistics, FIU |
| Dr. Golam
Kibria |
Dept. of Statistics, FIU |
| Dr. Kurtis
Gurley |
Dept of Civil Eng, Univ of Florida |
| Dr. Steven Cocke |
Dept of Meteorology, FSU |
| Neil Dorst |
Hurricane Research Division, NOAA |
| Dr. Mei-Ling Shyu |
Dept. of Electrical & Computer Eng, Univ of Miami |
| Dr. George Soukup |
Applied physicist, AOML/NOAA |
| Bachir
Annane |
CIMAS/UM/NOAA Hurricane
Research Division |
| Dr. Mani Subramaniam |
Dept of Mechanical Engineering, FIT |
•
Plus over a dozen graduate students
Model
design
The model consists of three major components: wind hazard (meteorology),
vulnerability (engineering), and insured loss cost (actuarial). It has
over a dozen sub-components. The major components are developed independently
before being integrated. The computer platform is designed to accommodate
future hookups of additional sub-components or enhancements.
Components
of the Wind Model
-
Storm
Track and Intensity Model: Generates the storm tracks and intensity
up to close of land for simulated hurricanes based on historical initial conditions.
-
Inland
Storm Decay Model: Estimates decay after landfall.
-
Wind
Field Model: Generates open terrain wind speeds for each of the hurricane
affected zip code.
-
Gust
Factor Model: Generates peak gust wind speeds for each zip code.
-
Terrain
Roughness Model: Corrects open terrain wind speed for terrain roughness.
-
Wind
Probabilities Model: Generates wind probabilities for each zip code.
-
ArcIMS
environment to visualize Florida GIS information and the associated
data results over the Internet.
Components
of the Vulnerability Model
-
Engineering simulation models: Simulates for each type of construction,
all possible wind damages to the structure, interior, contents, appurtenant
structure, as well as ALE.
-
Engineering
damage model: Generates damage matrices for each construction type.
Produces damage ratios for structure, contents, appurtenant structure,
and ALE.
-
Engineering
Mitigation Model: Generates vulnerability functions (damages matrices)
for mitigated structures (e.g., with shutters, braced gable ends,
hip roof, wall to roof straps etc.).
Components
of the Insured Loss Model
-
Model for policy modifications: models wind deductibles, as well as
policy limits etc.
-
Probabilistic
insured loss actuarial model: Generates expected annual loss costs
for each policy, or portfolio of policies, or by zip code, county,
rating territory, construction type etc. Adjusts for deductibles and
limits etc. Generates structure, content, AP and ALE loss.
-
Scenario
based insured loss actuarial model: generates expected loss cost for
a specific hurricane event affecting a given region.
Selected
Output
| |
Expected
residential insured wind losses for simulated
hurricane landfalls ($million) based on 2003 exposure |
Hurricane Category |
| Landfall Location |
1 |
2 |
3 |
4 |
5 |
| Jacksonville |
30 |
88 |
503 |
4,267 |
9,557 |
| Fort Pierce |
59 |
207 |
1,394 |
6,043 |
10,847 |
| Miami |
179 |
523 |
3,124 |
12,786 |
25,849 |
| Ft. Myers |
90 |
505 |
2,017 |
8,808 |
14,582 |
| Tampa |
187 |
618 |
5,087 |
21,300 |
35,633 |
| Panama City |
10 |
29 |
211 |
1,102 |
2,532 |
Please
note these are for residential policies (home owners and renters) and
do not include commercial policies or condos.
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