U.S. Earthquake Risk Breakout Final_US Earthquake Risk.pdfCoreLogic continues to monitor science...
Transcript of U.S. Earthquake Risk Breakout Final_US Earthquake Risk.pdfCoreLogic continues to monitor science...
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U.S. Earthquake Risk
▪ Comparing results from Oasis vs. RQE® implementations▪ What’s coming in the next model update?▪ Aftershocks: a case study
David Gregory | Senior Earthquake Product ManagerTrey Apel, Ph.D | Principal Scientist – Model Development
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U.S. Earthquake Risk: 2 Platforms, 1 ModelDavid Gregory | Senior Earthquake Product Manager
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Our Model
Our Goal
The Challenge
World class model: 30 year pedigree Hazard and vulnerability are regularly and
vigorously externally validated
To create platform agnostic data and insights, delivered your way
Ensuring results are “fit for purpose” in both platforms
Convergence of results
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The Challenge
4
Convergence of results, ensuring results are ‘fit for purpose’ in both platforms
Ground Up ?The Financial Model is a key challenge
Random SamplingNumber of Samples
Gross Loss ?
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Oasis – How many Samples?
Closer resultsvs
Run‐time trade‐off
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AEP ResultsOEP Results
Ground up Loss Results comparison ‐ California
1 10 100 1000 10000Loss
Return Period
RQE
Oasis 10 samples
Oasis 20 samples
Oasis 30 samples
Oasis 120 samples
1 10 100 1000 10000
Loss
Return Period
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1 10 100 1,000 10,000
Loss
Return Period
Ground Up Damage
Gross Loss
OEP Ground Up & Gross Loss Comparison ‐ US
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The Challenge
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Convergence of results, ensuring results are ‘fit for purpose’ in both platforms
The Financial Model is a key challenge
*The ‘Oasis API feature for Complex Models’ allows CoreLogic to preserve the calculation of our losses
at the Ground Up level.
**The two financial models calculate the Gross Losses differently.
Ground Up Yes – within 5%*
Gross Loss Yes ‐ it’s more complicated**
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‐7%
‐6%
‐5%
‐4%
‐3%
‐2%
‐1%
0%
1%
2%0 100 200 300 400 500 600 700 800 900 1000
Percentage change to RQE
Return Period
Gross Loss Results Comparison: California
Oasis numbers lower than RQE
Oasis numbers higher than RQE
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‐1%
‐2%
0%1%
0%
‐2%
‐4%
‐1%
‐2%
1%1%1%
‐2%
‐4%
‐7%
‐6%
‐5%
‐4%
‐3%
‐2%
‐1%
0%
1%
2%0 100 200 300 400 500 600 700 800 900 1000
Percentage change to RQE
Return Period
Gross Loss Results Comparison: California
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Gross Loss Comparison: Pacific Northwest
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‐12%
‐10%
‐8%
‐6%
‐4%
‐2%
0%0 100 200 300 400 500 600 700 800 900 1000
Percentage change to RQE
Return Period
No loss below 1:25 year return period
No significant losses below 1:100 year return period
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‐2%‐2%
‐3%
‐3%‐3%
‐7%
‐10%
‐2%‐2%‐3%‐2%‐2%
‐6%
‐9%
‐12%
‐10%
‐8%
‐6%
‐4%
‐2%
0%0 100 200 300 400 500 600 700 800 900 1000
Percentage change to RQE
Return Period
Gross Loss Comparison: Pacific Northwest
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‐50%
‐45%
‐40%
‐35%
‐30%
‐25%
‐20%
‐15%
‐10%
‐5%
0%0 100 200 300 400 500 600 700 800 900 1000
Percentage change to RQE
Return Period
Gross Loss Comparison: New Madrid Seismic Zone
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No loss below 1:100 year return period
No significant losses below 1:500 year return period
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‐50%
‐45%
‐40%
‐35%
‐30%
‐25%
‐20%
‐15%
‐10%
‐5%
0%0 100 200 300 400 500 600 700 800 900 1000
Percentage change to RQE
Return Period
Gross Loss Comparison: New Madrid Seismic Zone
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No loss below 1:100 year return period
No significant losses below 1:500 year return period
The larger the sample size, the closer to 0% difference
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Stratified AAL comparison (CatXL Premium)
Layer Layer activation Layer Exhaustion Oasis RQE Difference
CatXL1 50 yr 100 yr 19,660,018 20,934,425 6%CatXL2 100 yr 150 yr 8,489,698 8,867,259 4%CatXL3 150 yr 250 yr 8,471,230 8,606,768 2%
AAL
250yr
150yr
100yr
50yr
Retained
CatXL1
CatXL2
CatXL3
Retained
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Summary
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Pattern of losses are not materially different
Differences at the Gross Loss level are exposure dependent
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The Next Earthquake UpdateTrey Apel | Principal Scientist, Model Development
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USGS 2018 Updates
1. Catalog ‐ updated seismicity catalog (2013‐2017)
2. CEUS GMPEs ‐ Central and eastern United States (CEUS), new ground motion models (GMPEs)
3. Basins ‐ in the Western United States (WUS), amplified shaking estimates of long‐period ground motions deep sedimentary basins in the Los Angeles, San Francisco, Seattle, and Salt Lake City areas
USGS (Petersen, et al., 2019)“Results show increased ground shaking in many (but not all) locations across the CEUS (up to ~30%), as well as near the four urban areas overlying deep sedimentary basins in the WUS (up to ~50%).
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U.S. Exposure
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Population in SA 1.0 Sec Hazard Change Bands
Change 475 years 2475 years
‐25% 3% 0.1%
5‐25% 54% 20%
±5% 35% 25%
5‐25% 5% 49%
25% 3% 5%
SA 1.0sec475 years
SA 1.0sec2475 years
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Updated Catalog
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Figure 2 from Petersen et al., 2018
Figure 4 from Petersen et al., 2018
SA 0.2 sec – 2% in 50 year probability of exceedance
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CEUS GMPEs
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Central and Eastern United States Ground Motion Prediction Equations
Table 1 from Petersen et al., 2019
Figure 3 from Petersen et al., 2019
CEUS GMPEs
NGA‐East for USGS (0.667)
Updated Seed GMPEs (0.333)
17 models (weights based on frequency and magnitude)
14 models (varying weights based on
geometric spreading and model type)
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GMPEs Hazard Comparison
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Figure 6 from Petersen et al., 2019
Figure 11 from Petersen et al., 2019
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WUS GMPEs and Basins
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Western United States Ground Motion Prediction Equations and Basin Amplification
No basin terms – Idriss 2014 crustal GMPE and Atkinson and Boore 2003 subduction
Figure 7 from Petersen et al., 2019
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WUS GMPEs and Basins
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Western United States Ground Motion Prediction Equations and Basin Amplification
Figure 7 from Petersen et al., 2019Figure 9 from Petersen et al., 2019
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Change Summary
25
Model Change Impact RQE User
ImpactU.S.
Exposure
Catalog $ $
CEUs GMPEs $$ $$
Basins $$$ 0*
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The HayWired Scenario: California Earthquake RiskDavid Gregory | Senior Earthquake Product Manager
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Source: GNS & USGS
Canterbury/Darfield
Earthquake Loss ‐ Aftershocks
500 aftershocks associated with this event
~20 cause losses
2010 – 2011 New Zealand Earthquake Sequence
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The HayWired Scenario
Designed to look at loss potential from:
Modelled Loss
– Ground Shake
– Liquefaction
– Landslides
– Demand Surge
Modellable Loss
– Fire Following
– Sprinkler Leakage
Non‐Modelled loss
– Aftershocks
CoreLogic Was Honored to be Invited to Contribute
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The HayWired Scenario: Aftershocks
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The Exposure At Risk
30
Source: CoreLogic RCV
Residential & Commercial Reconstruction Cost Value (RCV) At Risk
$2,000+ Billion
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The Losses
31
Total Damage
$182 Billion
Main Shock Damage
$139 Billion
Total Insured Loss
$27 Billion
Main Shock insured loss
$23 Billion
76%
85%
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The Loss Profile
32
6% 5%11%
Damage to rubble?
Depends on winds, etc.Assumed an ‘average’ day
Mandated in all California homes from 2009
76%
Billion
s
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0
20
40
60
80
100
120
140
160
180
Billion
sShake Losses – Aftershocks Over Time
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0
20
40
60
80
100
120
140
160
180
Billion
sAftershocks – Over Time
‘Typical’ Commercial carrier ‐ 7 day waiting periodCali res ‐ 15 day waiting period
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0
20
40
60
80
100
120
140
160
180
Billion
s
Event 15 Temblors
Event 25 Temblors
Event 32 Temblors
Event 44 Temblors
Aftershocks – Over Time
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Event 15 Quakes
Event 25 Quakes
Event 32 Quakes
Event 44 Quakes
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The Loss Profile, Continued
36
Billion
s
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Summary
Loss potential from current studies are lower than expected (compared to New Zealand), though not immaterial.
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Can provide clients with this study profile to test on their book of business.
Fire following & sprinkler leakage are equally as material.
37
A key reason for this is the building stock: both countries and states have earthquake design codes, but properties in California have lower vulnerabilities