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GRA · Reinsurance and Catastrophe

Spatial financeWhere capital meets hazard, exposure and transition

Structural and earthquake engineering for reinsurance and catastrophe

Structural engineering explains how buildings and infrastructure respond to wind, ground shaking, flood and fire. In catastrophe reinsurance it supplies the vulnerability functions that convert hazard intensity into damage and loss.

01Register

Structural and earthquake engineering for reinsurance and catastrophe on the record.

Method recordSTEM method
  1. MethodStructural and earthquake engineering
  2. Applied inReinsurance and Catastrophe
  3. Canonical pageSTEM Commons
02Application

What structural and earthquake engineering does here.

Structural and earthquake engineering designs buildings, bridges and other structures to carry loads safely, including those from earthquakes, wind and floods. It determines how much damage the built environment suffers when hazards occur. In insurance and catastrophe, climate and hazards and disaster and crisis, structural engineering supplies vulnerability functions for loss models and guides retrofit priorities. It links hazard intensity to disruption of housing, services and supply chains. The canonical description is on the STEM Commons.

Vulnerability by construction class

Damage functions are developed by construction type, height, age and code era from engineering analysis and claims.

Building code effectiveness

Loss differences between buildings of different code eras are studied to show how much stronger standards reduce damage.

Post-event damage surveys

Field surveys after events record damage patterns by building type, which are then used to recalibrate vulnerability functions.

03Spatial finance

Assets on the grid, and the portfolio they make.

Where a portfolio’s assets sit, and how much of its value is most exposed. Hypothetical assets, not an assessment.

Sixteen assets at real towns, and the share of portfolio value in the most exposed places.Hypothetical assets and design scores, not advice.
04Data

What the method consumes.

Datasets and records used by structural and earthquake engineering on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DataRoleLabel
Claims by construction typeCalibrationREPORTED
Engineering test resultsComponent behaviourOBSERVED
Post-event surveysDamage patternsOBSERVED
05Monitor

Fragility analysis.

The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.

Fragility analysis

Reinsurance and catastrophe · Structural and earthquake · Run R-8382

Test campaignGRA · Reinsurance and Catastrophe

Damage states

Slight0.180.6Cosmetic
Moderate0.320.7Repairable
Extensive0.630.7Major
Complete0.90.7Replace

Method card

Method
Structural and earthquake engineering
Standard
lognormal fragility
Reviewer
independent
Label
MODELLED

Fragility curves

Fragility analysis: the screen’s structure, terms and states for Reinsurance and catastrophe.Example names and illustrative values; a design, not a record or a live system.
06Validation

How results are checked.

Designs are checked against codes, laboratory and shake-table tests, and observed performance after events. Peer review is used for unusual structures.

CheckHow it is done
Claims back-testingFunctions reproduce observed damage ratios
Secondary modifiersThe effect of roof, opening and foundation features is documented
Regional applicabilityFunctions are checked for the building stock where applied

Existing building stock is often poorly documented. Interaction of multiple hazards and degradation over time is incompletely represented.

07Loss model

Loss exceedance, average annual loss and probable maximum loss.

The loss a portfolio in the footprint can expect per year and at the 1 in 100 and 1 in 250 levels that insurers and lenders price, from the same three blocks every catastrophe model uses. Teaching model with stated illustrative values, not a prediction. The map on this page shows The Gulf of Mexico coast; the model itself is not tied to a place.

Controls

Typical annual peak ground acceleration (location)
0.04 g peak ground acceleration
Spread of extremes (scale)
0.05 g peak ground acceleration
Intensity at which half the value is lost
0.45 g peak ground acceleration
Dispersion of vulnerability
0.60
Share of value in the hazard footprint
40%
Protection standard (return period)
50 years

Readouts

Average annual loss
0.18% of value
Loss at 1 in 100 years
7.9% of value
Loss at 1 in 250 years
11.1% of value
Intensity at 1 in 100 years
0.27 g peak ground acceleration
Numbers, methods and sources
Return period (years)Intensity (g peak ground acceleration)Loss (% of value)
1−0.020.00
20.060.00
40.100.00
70.130.00
130.170.00
240.200.00
440.230.00
820.267.23
1540.299.40
2870.3211.60
5360.3513.79
1,0000.3915.92

Methods

  1. Gumbel extreme-value hazard Gumbel (1958), Statistics of Extremes, Columbia University Press
  2. Lognormal fragility (vulnerability) FEMA (2003), HAZUS-MH Technical Manual
  3. Exceedance-probability curve and average annual loss Grossi and Kunreuther (2005), Catastrophe Modeling, Springer
  4. Levee effect Di Baldassarre and others (2013), Socio-hydrology, HESS 17
  5. Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  6. One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Data

The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:

  • Rivers Natural Earth
  • Urban extents Natural Earth
  • Cities Natural Earth
  • Earthquakes M4.5+, past week (USGS) U.S. Geological Survey · register usgs.earthquake.summary-feeds
  • Rain rate, last half hour (IMERG) NASA GPM IMERG Early · register nasa.gibs.context-live-layers
  • River discharge forecast, 30 days with range (GloFAS via Open-Meteo) Open-Meteo.com (CC BY 4.0), Copernicus GloFAS · register open-meteo.public-pages
  • Built-up and settlement extent, 2010 (HBASE, Landsat) CIESIN/Columbia, NASA SEDAC HBASE · register sedac.context-urban-layers
Loss exceedance, average annual loss and probable maximum loss. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Gumbel extreme-value hazard (Gumbel (1958), Statistics of Extremes, Columbia University Press); Lognormal fragility (vulnerability) (FEMA (2003), HAZUS-MH Technical Manual); Exceedance-probability curve and average annual loss (Grossi and Kunreuther (2005), Catastrophe Modeling, Springer).
08Connections

Topics that rely on this method.

09Twin and cascade simulator

Trace a shock to the balance sheet.

Assembled from the Nexus Standards area profile Insurance and reinsurance: the shocks it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Pick an initiating shock and step through the cascade to see which exposures it reaches and where losses could concentrate. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise, not a forecast, a valuation, a rating or investment advice. To model a place of your own choosing, open the full System Builder.

Hazards

  • Tropical cyclone
  • Earthquake
  • Ice-jam flood
  • Wildfire
  • Storm surge (set off downstream)
  • Intense rainfall (set off downstream)
  • River flood (set off downstream)
  • Flash flood (set off downstream)
  • Dangerous surf (set off downstream)
  • Widespread power outage (set off downstream)
  • Mass displacement (set off downstream)
  • Coastal flood (set off downstream)
  • Aftershock sequence (set off downstream)
  • Fault surface rupture (set off downstream)
  • Soil liquefaction (set off downstream)
  • Slope slide (set off downstream)
  • Rockfall (set off downstream)
  • Tsunami (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-3 Risk record UNIs (grammar, legacy crosswalk, allocation authority)
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-10 Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NS-14 Conformance and crosswalk to external standards
  • NRS-F3 Insurance, catastrophe risk and protection gaps
  • NRS-H113 Hazard family: Financial-system fragility (NHS-1 soc.financial-system)
  • NRS-U17 Universe platform profile: Insurance Nexus
  • NRS-H71 Hazard family: Deep-time and cosmic catastrophes (NHS-1 planet.deep-time)
  • NRS-H65 Hazard family: Planetary boundary transgressions (NHS-1 planet.boundary)
  • NRS-F8 Parametric and index-based risk transfer

Observation

  • OECD Data Explorer (incl. Creditor Reporting System, insurance and pension statistics) (listed for reference)
  • Insurance statistics (listed for reference)
  • USGS earthquake GeoJSON summary feeds (listed for reference)
  • Direct economic loss attributed to disasters in relation to global gross domestic product (GDP)
  • Direct economic loss attributed to disasters in relation to global gross domestic product
  • (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adults

Example geography

  • Western Europe: 152 hexagonal cells
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
  • Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
  • Carbon monoxide, smoke transport (AIRS), NASA GIBS
10Stewardship

Who maintains the method.

Cities and Built Environment stewards structural and earthquake engineering for the Consortium and reviews how it is applied across platforms.

11Exposure, loss and capital

What it means for exposure, loss and capital.

The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.

Exposure and loss at return periods

How losses from structural and earthquake engineering for reinsurance and catastrophe grow with severity, gross and net of reinsurance, against capital.

1 in 101 in 501 in 1001 in 250grossnet of reinsurance800
Return periodAnnual probabilityGross lossNet lossNet, capital = 100
1 in 100.10141010
1 in 500.02332121
1 in 1000.01462727
1 in 2500.004683939
Average annual loss3.12.22.2
Illustrative loss index for a example portfolio (capital = 100): the exceedance-probability form insurers and supervisors read. Not data on any institution, not a price or a rating.
NGFS climate scenarios · Network for Greening the Financial SystemIFRS S2 Climate-related Disclosures · ISSBTCFD recommendations · Financial Stability Board TCFDPrinciples for the effective management of climate-related financial risks · Basel Committee on Banking Supervision
13Questions

Questions and answers.

What are the limits of structural and earthquake engineering in this field?
Existing building stock is often poorly documented. Interaction of multiple hazards and degradation over time is incompletely represented.
How are results checked?
Designs are checked against codes, laboratory and shake-table tests, and observed performance after events. Peer review is used for unusual structures.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Where else is this method applied?
The canonical method page lists every platform that applies it.
ReportsContribute

Contribute evidence from this page.

Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

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