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U.S. FLOOD MODELING

Clare Salustro
Manager, Model Product Management, Americas Climate

©2014 Risk Management Solutions, Inc.

Confidential
Where
have we
been?

Where are
we now?

What’s
changed?

What’s
coming?
JULY 2013

US FLOOD
TIMELINE

MTA Cat Bond is first ever Cat
Bond for storm surge
JANUARY 2014

JUNE 2012

Partial delay of
Biggert-Waters

Biggert-Waters NFIP Reform Act signed into law

?
SEPTEMBER 2008
AUGUST 2005

Hurricane Katrina

Hurricane Ike
$2.7 Bn NFIP loss

$16.3 Bn NFIP loss
©2014 Risk Management Solutions, Inc.

Confidential

OCTOBER 2012

Hurricane Sandy
$7.8 Bn NFIP loss
Event

©2014 Risk Management Solutions, Inc.

$16.3B

Hurricane Sandy

2012

$7.8B

Hurricane Ike

2008

$2.7B

Hurricane Ivan

2004

$1.6B

2011

$1.3B

2001

$1.1B

Louisiana Flood

1995

$585M

Tropical Storm Isaac
Over half of total
NFIP payout
(since program
began in 1978)
from just two
years – 2005 and
2012 – driven by
coastal flood loss

2005

2012

$531M

Hurricane Isabel

2003

$493M

Hurricane Rita

2005

$472M

Hurricane Floyd

1999

$462M

Tropical Storm Lee

2011

$445M

Hurricane Opal

1995

$406M

Hurricane Hugo

1989

$376M

Hurricane Wilma

14 of top 15 NFIP
claims related to
Tropical Storms
and Hurricanes

Hurricane Katrina

Tropical Storm Alison

Flood risk in U.S. is
dominated by coastal flood

Claims

Hurricane Irene

NFIP: TOP 15
LOSSES

Year

2005

$365M

Confidential
NFIP: LOSS
HISTORY
Flood risk in U.S. is
dominated by coastal flood

Total NFIP Claims
in $Bn
(1978-present)

Contribution to
total (%)

Flooding from hurricanes and tropical storms

36.5

87%

Non-tropical cyclone-related flooding

5.7

13%

TOTAL

42.2

100%

Source

©2014 Risk Management Solutions, Inc.

Confidential
COASTAL
FLOOD
MODELING
ISN’T EASY
Storm surge processes are
complex
• 

• 

Must account for hurricane
characteristics over lifetime of
storm
Must model at very high resolution

RMS approach has evolved over
time and was well validated by
recent events such as Sandy

©2014 Risk Management Solutions, Inc.

Confidential
IT’S NOT JUST LANDFALL CHARACTERISTICS THAT MATTER
Windspeed
Cannot assume 1:1
relationship between wind and
surge severity at landfall
Storm surge impacts can be
more severe than indicated by
landfall characteristics
–  Sandy (2012)
–  Ike (2008)
–  Katrina (2005)

170
160
150
140

Cat 5
Cat 4

130
120
110
100
90
80

©2014 Risk Management Solutions, Inc.

(mph) at landfall

Cat 3
Cat 2
Cat 1
Confidential

22
20
18
16
14
12
10
8
6
4
2

Surge height
(feet)

Katrina

Cat 5

Ike
Cat 4

Sandy
Cat 3
Cat 2
Cat 1
DIFFERENT APPROACHES TO STORM SURGE MODELING
Empirical Models

SLOSH

Hydrodynamic Models

•  Lack of observations to train
on across all regions
•  Doesn’t account for surge
development over life of
storm
•  Difficult to deal with complex
coast-lines, bays, and
barrier islands

•  (Sea, Lake, and Overland
Surge from Hurricane)
•  Operational focus, widely
used for disaster planning
•  Not certified for FEMA flood
modeling studies
•  Grid resolution decreases
away from central point

•  Physics-based calculation of
time-stepping storm surge
•  Considered best practice for
FEMA flood modeling
studies
•  Can control grid resolution –
put fine resolution grid cells
where they’re needed most

©2014 Risk Management Solutions, Inc.

Confidential
DIFFERENT APPROACHES TO STORM SURGE MODELING
Empirical Models

SLOSH

Hydrodynamic Models

•  Lack of observations to train
on across all regions
•  Doesn’t account for surge
development over life of
storm
•  Difficult to deal with complex
coast-lines, bays, and
barrier islands

•  (Sea, Lake, and Overland
Surge from Hurricane)
•  Operational focus, widely
used for disaster planning
•  Not certified for FEMA flood
modeling studies
•  Grid resolution decreases
away from central point

•  Physics-based calculation of
time-stepping storm surge
•  Considered best practice for
FEMA flood modeling
studies
•  Can control grid resolution –
put fine resolution grid cells
where they’re needed most

©2014 Risk Management Solutions, Inc.

Confidential
NUMERICAL
APPROACH:
SUPERCOMPUTING
RESOURCES
REQUIRED…

©2014 Risk Management Solutions, Inc.

Required 500
CPUs and 60
terabytes
of disk-space to
generate RMS
North Atlantic
Hurricane Model
storm surge
stochastic set

Confidential
RMS SURGE
MODELING:
NESTED MESH
FRAMEWORK

REGIONAL MESH

©2014 Risk Management Solutions, Inc.

TRACK SET

WIND FIELD

LOCAL MESH

FLOOD DEPTHS

Confidential
HIGH RESOLUTION COASTAL FLOOD MODELING
Detailed bathymetry and coastal topography: Southern Louisiana
• 

Resolutions as fine as
100m

• 

Ability to model complex
flows of water in and out of
bays and harbors

• 

Manage and underwrite
coastal flood risk with
confidence, down to the
local level

©2014 Risk Management Solutions, Inc.

Confidential
ABLE TO MODEL REALISTIC COASTAL FLOODING
Previous model extent (parametric model)

©2014 Risk Management Solutions, Inc.

Current model extent (full hydrodynamic model)

Confidential
ABLE TO MODEL REALISTIC COASTAL FLOODING
Previous model extent (parametric model)

©2014 Risk Management Solutions, Inc.

Current model extent (full hydrodynamic model)

Confidential
RMS Storm Surge Model

WELL
VALIDATED
DURING
SANDY
•  RMS model as
good as best data
developed by
FEMA
•  Verified against
over 200
independent flood
observations

©2014 Risk Management Solutions, Inc.

Confidential

FEMA Flood Extent
LESSONS
LEARNED
FROM SANDY
• 

• 

• 

High-value contents in
basements within central
business district took
many by surprise
Highlighted gaps in data
capture, limited
exposure information
Sandy Data Call
currently underway

©2014 Risk Management Solutions, Inc.

Confidential
WHERE DOES
THIS LEAVE
US NOW?
Only%modeling%
company%that%
integrates%a%full%
dynamic%storm%surge%
model%into%its%
hurricane%model%suite%%

©2014 Risk Management Solutions, Inc.

High%quality,%well9
verified%model%for%
driver%of%U.S.%flood%loss%

Confidential

Viable%alternate%view%
of%risk%from%FEMA%for%
coastal%flood,%available%
now%
COASTAL FLOOD VIEW ALREADY AVAILABLE
100-YEAR FLOOD ELEVATION: FEMA VERSUS RMS

FEMA

©2014 Risk Management Solutions, Inc.

Confidential

RMS
Completing
the U.S.
Flood
Solution
GOAL:
Develop modeling solution covering all
sources of flooding in US
!  Tropical Cyclone Surge
!  Tropical Cyclone Precipitation
!  Non-Tropical Cyclone Precipitation

©2014 Risk Management Solutions, Inc.

Confidential
GOAL:
Develop modeling solution covering all
sources of flooding in US

"  Storm Surge within Hurricane Model

"  Tropical Cyclone Surge
!  Tropical Cyclone Precipitation
!  Non-Tropical Cyclone Precipitation

©2014 Risk Management Solutions, Inc.

Suite of US Flood products:

Confidential
GOAL:
Develop modeling solution covering all
sources of flooding in US

"  Storm Surge within Hurricane Model

"  Tropical Cyclone Surge
!  Tropical Cyclone Precipitation
!  Non-Tropical Cyclone Precipitation

©2014 Risk Management Solutions, Inc.

Suite of US Flood products:

!  US Flood HD Model

Confidential

coming'soon!!
GOAL:
Develop modeling solution covering all
sources of flooding in US

"  Storm Surge within Hurricane Model

"  Tropical Cyclone Surge
!  Tropical Cyclone Precipitation
!  Non-Tropical Cyclone Precipitation

©2014 Risk Management Solutions, Inc.

Suite of US Flood products:

!  US Flood Hazard Data Product
!  US Flood HD Model

Confidential

coming'
soon!!
New US Inland Flood model (lower 48
states) set to be released on RMS(one)
U.S. Major River Basins

Probabilistic model is precipitationdriven

Includes tropical cyclone and
non-tropical cyclone precipitation

Covers both floodplain (major and
minor) and off-floodplain (i.e. flash
flooding) events

Continuous simulation accounts for
antecedent conditions
LARGEST MODEL EVER BUILT
Number of grid cells in
US Inland Flood Model

Number of grid cells in
US Storm Surge Model

32 Mn!

©2014 Risk Management Solutions, Inc.

5.7 Bn!

Confidential
WHY NOW?

Not computationally possible
previously
We’re able to do it now
because:
•  Migrated heavy
processing from
conventional CPUs to
GPUs – gain of over 200x
•  RMS(one) reduces
storage need for client

©2014 Risk Management Solutions, Inc.

Confidential
BUILDING
MODELS IN
RMS(ONE)

HD Simulation: Allows for continuous simulation of
events
–  Similar meteorological events can lead to
very different hazard & loss events
o  Antecedent conditions strongly
influence the severity of a flood
–  Able to capture clustering and correlation

• 

New financial model enabled by Contract
Definition Language (CDL)
–  Properly model hours clause and complex
flood policy terms

• 

©2014 Risk Management Solutions, Inc.

• 

Performance offered by the Cloud

Confidential
US FLOOD MODEL COMPONENTS

Geospatial
Data
Underlying
elevation
dataset and
derivative
elements

©2014 Risk Management Solutions, Inc.

Stochastic
Event Module

Hazard
Module

Vulnerability
Module

Define
precipitation
years

Compute
resulting
flood
hazard
footprints

Calculate
damage
based on
risk item
characteristics

Confidential

Financial
Module

Quantify
financial
loss
HIGH QUALITY INPUT DATA
High-Quality, High-Resolution Geospatial
Data is critical to flood modeling
• 
• 
• 

©2014 Risk Management Solutions, Inc.

Confidential

Source resolution for elevation data
improves quickly
Using latest enhanced version of National
Hydrography Dataset (NHD): NHDPlusV2
RMS spent several person-years on QA of
data layers
–  Fed findings back to NHDPlus data
providers to help improve their
product
EXAMPLE QA TASK
By comparing with Google Earth, corrected misplaced river segment in elevation dataset

Actual path

©2014 Risk Management Solutions, Inc.

Actual path

Confidential
HAZARD SIMULATION APPROACH
Tropical Cyclone Precipitation

Precipitation
Simulate the
source of the
flooding:
tropical
cyclone and
non-tropical
cyclone

Non-Tropical Cyclone Precipitation

Rainfall
Runoff

Routing

Defense

Inundation

Understand
how rainfall
enters the
water
systems

Propagate the
water through
major and
minor river
systems

Account for
mitigation
measures and
possibility of
flood defense
failures

Form a
footprint of
saturation
and flooding

Source: cpc.ncep.noaa.gov
©2014 Risk Management Solutions, Inc.

Confidential
HAZARD SIMULATION APPROACH

Precipitation
Simulate the
source of the
flooding:
tropical
cyclone and
non-tropical
cyclone

©2014 Risk Management Solutions, Inc.

Rainfall
Runoff

Routing

Defense

Inundation

Understand
how rainfall
enters the
water
systems

Propagate the
water through
major and
minor river
systems

Account for
mitigation
measures and
possibility of
flood defense
failures

Form a
footprint of
saturation
and flooding

Confidential
Comparison of 100 year model hazard with FEMA maps - Memphis, TN
RMS

FEMA

©2014 Risk Management Solutions, Inc.

Confidential
RMS FLOOD
HAZARD DATA
PRODUCT

Coming
soon!

–  Coverage: 48 states & District of Columbia
–  All sources of flooding:
o  Coastal flooding from storm surge
o  Tropical cyclone precipitation
o  Non-tropical cyclone precipitation
–  Return periods:
o  Multiple return periods, 20 years to 1000 years
o  Catchments by hydrological regions
–  RMS(one) functionality:
o  Location-level underwriting, flood zone lookup frequency
and severity with return period and flood depth
o  Accumulation management
o  Flood hazard visualization

©2014 Risk Management Solutions, Inc.

Confidential
Example 200-year return period hazard map

RMS FLOOD
HAZARD DATA
PRODUCT

Fully integrated into
RMS(one)

©2014 Risk Management Solutions, Inc.
RMS VS. FEMA: COMPARABLE BUT DIFFERENT

©2014 Risk Management Solutions, Inc.

Confidential
RMS VS. FEMA: COMPARABLE BUT DIFFERENT
Return
Period
(years)

FEMA FIRMs

Flood
Extent

Flood
Elevation

20

✓

✓

50

✓

✓

✓

✓

✓

✓

✓

✓

✓

✓

100

Flood
Extent

✓

Flood
Elevation

RMS Hazard Data
Product

✓ (BFEs)

250
500

✓

1000
©2014 Risk Management Solutions, Inc.

Confidential
RMS VS. FEMA: COMPARABLE BUT DIFFERENT
Component

FEMA FIRMs

RMS Hazard Data
Product

Mapping methodology

Varies by region

Consistent for entire lower
48 states

Geospatial data vintage
(e.g., elevation)

Varies by region

Current

Update frequency

Varies by region,
sometimes > 20 years

Can incorporate changes
quickly

n/a

Uses same event set as
RMS North Atlantic
Hurricane model

Correlation with other
perils
©2014 Risk Management Solutions, Inc.

Confidential
Where
have we
been?

NFIP reform will happen,
eventually
Can the private market take on
more of the US flood risk?

Where are
we now?

What’s
changed?

RMS tools already exist…
What’s
coming?
©2014 Risk Management Solutions, Inc.

Confidential

…and more are coming

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"U.S. Flood Modeling" - Presented at the RAA's Cat Modeling Conference 2014

  • 1. U.S. FLOOD MODELING Clare Salustro Manager, Model Product Management, Americas Climate ©2014 Risk Management Solutions, Inc. Confidential
  • 2. Where have we been? Where are we now? What’s changed? What’s coming?
  • 3. JULY 2013 US FLOOD TIMELINE MTA Cat Bond is first ever Cat Bond for storm surge JANUARY 2014 JUNE 2012 Partial delay of Biggert-Waters Biggert-Waters NFIP Reform Act signed into law ? SEPTEMBER 2008 AUGUST 2005 Hurricane Katrina Hurricane Ike $2.7 Bn NFIP loss $16.3 Bn NFIP loss ©2014 Risk Management Solutions, Inc. Confidential OCTOBER 2012 Hurricane Sandy $7.8 Bn NFIP loss
  • 4. Event ©2014 Risk Management Solutions, Inc. $16.3B Hurricane Sandy 2012 $7.8B Hurricane Ike 2008 $2.7B Hurricane Ivan 2004 $1.6B 2011 $1.3B 2001 $1.1B Louisiana Flood 1995 $585M Tropical Storm Isaac Over half of total NFIP payout (since program began in 1978) from just two years – 2005 and 2012 – driven by coastal flood loss 2005 2012 $531M Hurricane Isabel 2003 $493M Hurricane Rita 2005 $472M Hurricane Floyd 1999 $462M Tropical Storm Lee 2011 $445M Hurricane Opal 1995 $406M Hurricane Hugo 1989 $376M Hurricane Wilma 14 of top 15 NFIP claims related to Tropical Storms and Hurricanes Hurricane Katrina Tropical Storm Alison Flood risk in U.S. is dominated by coastal flood Claims Hurricane Irene NFIP: TOP 15 LOSSES Year 2005 $365M Confidential
  • 5. NFIP: LOSS HISTORY Flood risk in U.S. is dominated by coastal flood Total NFIP Claims in $Bn (1978-present) Contribution to total (%) Flooding from hurricanes and tropical storms 36.5 87% Non-tropical cyclone-related flooding 5.7 13% TOTAL 42.2 100% Source ©2014 Risk Management Solutions, Inc. Confidential
  • 6. COASTAL FLOOD MODELING ISN’T EASY Storm surge processes are complex •  •  Must account for hurricane characteristics over lifetime of storm Must model at very high resolution RMS approach has evolved over time and was well validated by recent events such as Sandy ©2014 Risk Management Solutions, Inc. Confidential
  • 7. IT’S NOT JUST LANDFALL CHARACTERISTICS THAT MATTER Windspeed Cannot assume 1:1 relationship between wind and surge severity at landfall Storm surge impacts can be more severe than indicated by landfall characteristics –  Sandy (2012) –  Ike (2008) –  Katrina (2005) 170 160 150 140 Cat 5 Cat 4 130 120 110 100 90 80 ©2014 Risk Management Solutions, Inc. (mph) at landfall Cat 3 Cat 2 Cat 1 Confidential 22 20 18 16 14 12 10 8 6 4 2 Surge height (feet) Katrina Cat 5 Ike Cat 4 Sandy Cat 3 Cat 2 Cat 1
  • 8. DIFFERENT APPROACHES TO STORM SURGE MODELING Empirical Models SLOSH Hydrodynamic Models •  Lack of observations to train on across all regions •  Doesn’t account for surge development over life of storm •  Difficult to deal with complex coast-lines, bays, and barrier islands •  (Sea, Lake, and Overland Surge from Hurricane) •  Operational focus, widely used for disaster planning •  Not certified for FEMA flood modeling studies •  Grid resolution decreases away from central point •  Physics-based calculation of time-stepping storm surge •  Considered best practice for FEMA flood modeling studies •  Can control grid resolution – put fine resolution grid cells where they’re needed most ©2014 Risk Management Solutions, Inc. Confidential
  • 9. DIFFERENT APPROACHES TO STORM SURGE MODELING Empirical Models SLOSH Hydrodynamic Models •  Lack of observations to train on across all regions •  Doesn’t account for surge development over life of storm •  Difficult to deal with complex coast-lines, bays, and barrier islands •  (Sea, Lake, and Overland Surge from Hurricane) •  Operational focus, widely used for disaster planning •  Not certified for FEMA flood modeling studies •  Grid resolution decreases away from central point •  Physics-based calculation of time-stepping storm surge •  Considered best practice for FEMA flood modeling studies •  Can control grid resolution – put fine resolution grid cells where they’re needed most ©2014 Risk Management Solutions, Inc. Confidential
  • 10. NUMERICAL APPROACH: SUPERCOMPUTING RESOURCES REQUIRED… ©2014 Risk Management Solutions, Inc. Required 500 CPUs and 60 terabytes of disk-space to generate RMS North Atlantic Hurricane Model storm surge stochastic set Confidential
  • 11. RMS SURGE MODELING: NESTED MESH FRAMEWORK REGIONAL MESH ©2014 Risk Management Solutions, Inc. TRACK SET WIND FIELD LOCAL MESH FLOOD DEPTHS Confidential
  • 12. HIGH RESOLUTION COASTAL FLOOD MODELING Detailed bathymetry and coastal topography: Southern Louisiana •  Resolutions as fine as 100m •  Ability to model complex flows of water in and out of bays and harbors •  Manage and underwrite coastal flood risk with confidence, down to the local level ©2014 Risk Management Solutions, Inc. Confidential
  • 13. ABLE TO MODEL REALISTIC COASTAL FLOODING Previous model extent (parametric model) ©2014 Risk Management Solutions, Inc. Current model extent (full hydrodynamic model) Confidential
  • 14. ABLE TO MODEL REALISTIC COASTAL FLOODING Previous model extent (parametric model) ©2014 Risk Management Solutions, Inc. Current model extent (full hydrodynamic model) Confidential
  • 15. RMS Storm Surge Model WELL VALIDATED DURING SANDY •  RMS model as good as best data developed by FEMA •  Verified against over 200 independent flood observations ©2014 Risk Management Solutions, Inc. Confidential FEMA Flood Extent
  • 16. LESSONS LEARNED FROM SANDY •  •  •  High-value contents in basements within central business district took many by surprise Highlighted gaps in data capture, limited exposure information Sandy Data Call currently underway ©2014 Risk Management Solutions, Inc. Confidential
  • 17. WHERE DOES THIS LEAVE US NOW? Only%modeling% company%that% integrates%a%full% dynamic%storm%surge% model%into%its% hurricane%model%suite%% ©2014 Risk Management Solutions, Inc. High%quality,%well9 verified%model%for% driver%of%U.S.%flood%loss% Confidential Viable%alternate%view% of%risk%from%FEMA%for% coastal%flood,%available% now%
  • 18. COASTAL FLOOD VIEW ALREADY AVAILABLE 100-YEAR FLOOD ELEVATION: FEMA VERSUS RMS FEMA ©2014 Risk Management Solutions, Inc. Confidential RMS
  • 20. GOAL: Develop modeling solution covering all sources of flooding in US !  Tropical Cyclone Surge !  Tropical Cyclone Precipitation !  Non-Tropical Cyclone Precipitation ©2014 Risk Management Solutions, Inc. Confidential
  • 21. GOAL: Develop modeling solution covering all sources of flooding in US "  Storm Surge within Hurricane Model "  Tropical Cyclone Surge !  Tropical Cyclone Precipitation !  Non-Tropical Cyclone Precipitation ©2014 Risk Management Solutions, Inc. Suite of US Flood products: Confidential
  • 22. GOAL: Develop modeling solution covering all sources of flooding in US "  Storm Surge within Hurricane Model "  Tropical Cyclone Surge !  Tropical Cyclone Precipitation !  Non-Tropical Cyclone Precipitation ©2014 Risk Management Solutions, Inc. Suite of US Flood products: !  US Flood HD Model Confidential coming'soon!!
  • 23. GOAL: Develop modeling solution covering all sources of flooding in US "  Storm Surge within Hurricane Model "  Tropical Cyclone Surge !  Tropical Cyclone Precipitation !  Non-Tropical Cyclone Precipitation ©2014 Risk Management Solutions, Inc. Suite of US Flood products: !  US Flood Hazard Data Product !  US Flood HD Model Confidential coming' soon!!
  • 24. New US Inland Flood model (lower 48 states) set to be released on RMS(one) U.S. Major River Basins Probabilistic model is precipitationdriven Includes tropical cyclone and non-tropical cyclone precipitation Covers both floodplain (major and minor) and off-floodplain (i.e. flash flooding) events Continuous simulation accounts for antecedent conditions
  • 25. LARGEST MODEL EVER BUILT Number of grid cells in US Inland Flood Model Number of grid cells in US Storm Surge Model 32 Mn! ©2014 Risk Management Solutions, Inc. 5.7 Bn! Confidential
  • 26. WHY NOW? Not computationally possible previously We’re able to do it now because: •  Migrated heavy processing from conventional CPUs to GPUs – gain of over 200x •  RMS(one) reduces storage need for client ©2014 Risk Management Solutions, Inc. Confidential
  • 27. BUILDING MODELS IN RMS(ONE) HD Simulation: Allows for continuous simulation of events –  Similar meteorological events can lead to very different hazard & loss events o  Antecedent conditions strongly influence the severity of a flood –  Able to capture clustering and correlation •  New financial model enabled by Contract Definition Language (CDL) –  Properly model hours clause and complex flood policy terms •  ©2014 Risk Management Solutions, Inc. •  Performance offered by the Cloud Confidential
  • 28. US FLOOD MODEL COMPONENTS Geospatial Data Underlying elevation dataset and derivative elements ©2014 Risk Management Solutions, Inc. Stochastic Event Module Hazard Module Vulnerability Module Define precipitation years Compute resulting flood hazard footprints Calculate damage based on risk item characteristics Confidential Financial Module Quantify financial loss
  • 29. HIGH QUALITY INPUT DATA High-Quality, High-Resolution Geospatial Data is critical to flood modeling •  •  •  ©2014 Risk Management Solutions, Inc. Confidential Source resolution for elevation data improves quickly Using latest enhanced version of National Hydrography Dataset (NHD): NHDPlusV2 RMS spent several person-years on QA of data layers –  Fed findings back to NHDPlus data providers to help improve their product
  • 30. EXAMPLE QA TASK By comparing with Google Earth, corrected misplaced river segment in elevation dataset Actual path ©2014 Risk Management Solutions, Inc. Actual path Confidential
  • 31. HAZARD SIMULATION APPROACH Tropical Cyclone Precipitation Precipitation Simulate the source of the flooding: tropical cyclone and non-tropical cyclone Non-Tropical Cyclone Precipitation Rainfall Runoff Routing Defense Inundation Understand how rainfall enters the water systems Propagate the water through major and minor river systems Account for mitigation measures and possibility of flood defense failures Form a footprint of saturation and flooding Source: cpc.ncep.noaa.gov ©2014 Risk Management Solutions, Inc. Confidential
  • 32. HAZARD SIMULATION APPROACH Precipitation Simulate the source of the flooding: tropical cyclone and non-tropical cyclone ©2014 Risk Management Solutions, Inc. Rainfall Runoff Routing Defense Inundation Understand how rainfall enters the water systems Propagate the water through major and minor river systems Account for mitigation measures and possibility of flood defense failures Form a footprint of saturation and flooding Confidential
  • 33. Comparison of 100 year model hazard with FEMA maps - Memphis, TN RMS FEMA ©2014 Risk Management Solutions, Inc. Confidential
  • 34. RMS FLOOD HAZARD DATA PRODUCT Coming soon! –  Coverage: 48 states & District of Columbia –  All sources of flooding: o  Coastal flooding from storm surge o  Tropical cyclone precipitation o  Non-tropical cyclone precipitation –  Return periods: o  Multiple return periods, 20 years to 1000 years o  Catchments by hydrological regions –  RMS(one) functionality: o  Location-level underwriting, flood zone lookup frequency and severity with return period and flood depth o  Accumulation management o  Flood hazard visualization ©2014 Risk Management Solutions, Inc. Confidential
  • 35. Example 200-year return period hazard map RMS FLOOD HAZARD DATA PRODUCT Fully integrated into RMS(one) ©2014 Risk Management Solutions, Inc.
  • 36. RMS VS. FEMA: COMPARABLE BUT DIFFERENT ©2014 Risk Management Solutions, Inc. Confidential
  • 37. RMS VS. FEMA: COMPARABLE BUT DIFFERENT Return Period (years) FEMA FIRMs Flood Extent Flood Elevation 20 ✓ ✓ 50 ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ 100 Flood Extent ✓ Flood Elevation RMS Hazard Data Product ✓ (BFEs) 250 500 ✓ 1000 ©2014 Risk Management Solutions, Inc. Confidential
  • 38. RMS VS. FEMA: COMPARABLE BUT DIFFERENT Component FEMA FIRMs RMS Hazard Data Product Mapping methodology Varies by region Consistent for entire lower 48 states Geospatial data vintage (e.g., elevation) Varies by region Current Update frequency Varies by region, sometimes > 20 years Can incorporate changes quickly n/a Uses same event set as RMS North Atlantic Hurricane model Correlation with other perils ©2014 Risk Management Solutions, Inc. Confidential
  • 39. Where have we been? NFIP reform will happen, eventually Can the private market take on more of the US flood risk? Where are we now? What’s changed? RMS tools already exist… What’s coming? ©2014 Risk Management Solutions, Inc. Confidential …and more are coming