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GRA · Insurance Nexus

Spatial financeWhere capital meets hazard, exposure and transition

Climate science for insurance hazard

Climate and atmospheric science explains how the hazards that drive insured loss are changing: storms, floods, heat, drought, wildfire and sea level. On this platform it supplies the hazard evidence and scenarios on which catastrophe models, stress tests and insurability studies are conditioned, with their uncertainty.

01Qeyd

Climate science for insurance hazard on the record.

Method recordSTEM method
  1. RêbazZanista avhewa û atmosferê
  2. Applied inInsurance Nexus
  3. Canonical pageSTEM Commons
02Serlêdan

What climate and atmospheric science does here.

Climate science studies the physical processes that govern the atmosphere, oceans, cryosphere and land surface over seasons to centuries. It provides the basis for understanding changes in hazard frequency and intensity that propagate through economic and social pergalan. In insurance and catastrophe, climate and hazards and health and biosecurity, climate projections frame long-horizon scenarios for infrastructure, insurance, food systems and public finance. They allow correlated hazards across regions and sectors to be examined together. The canonical description is on the STEM Commons.

Climate-conditioned hazard catalogues

Stochastic event sets for a peril are adjusted to reflect current or projected climate, using reanalysis trends and climate model ensembles, and the change in modelled loss is reported as a scenario.

Supervisory climate stress scenarios

Physical risk scenarios for stress tests are built from NGFS scenarios and emission pathways, translated into hazard changes by region and peril, with every assumption documented.

Event footprints for claims and parametric triggers

Reanalysis, radar and satellite observations give rapid event footprints that support claims triage and the index measurements on which parametric payouts depend.

03Spatial finance

A parametric trigger, read on the map.

How a storm crossing a trigger zone would set a payment. Real geography; synthetic storm and design terms.

A tropical cyclone passing Jamaica, read against two ways of triggering a payment.Synthetic storm and design terms, not a policy or a price.
04Dane

What the method consumes.

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

DaneRolNîşan
ERA5 reanalysisHistorical hazard climatologyMODELKIRÎ
CMIP6 climate projectionsFuture hazard scenariosMODELKIRÎ
NOAA and national station recordsObserved extremesÇAVDÊRÎKIRÎ
Copernicus Emergency Management Service mapsEvent footprintsÇAVDÊRÎKIRÎ
Senaryoyên NGFSReference supervisory scenariosMODELKIRÎ
05Çavdêrî bike

Forecast verification.

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

Piştrastkirina pêşbîniyê

Insurance · Climate science for insurance · Run R-5095

Skill above referenceGRA · Insurance Nexus

Forecast with range

Method card

Rêbaz
Zanista avhewa û atmosferê
Reference
climatology
Lead times
1 to 6 steps
Nîşan
MODELKIRÎ

Verification by lead time

held-out period

T+20.290.250.13Skilful
T+40.420.110.27Skilful
T+60.240.260.19Skilful
T+80.200.100.24Skilful
Forecast verification: the screen’s structure, terms and states for Insurance.Nav û nirxên nimûneyî; sêwiran e, ne qeyd an pergaleke zindî ye.
06Erêkirin

How results are checked.

Models are evaluated against observed climatology, historical trends and paleoclimate records. Multi-model comparison and process-based diagnostics expose structural differences.

Kontrol bikinHow it is done
Historical reproductionConditioned hazard catalogues must reproduce observed hazard statistics in the calibration period before any projection
Ensemble spreadResults are reported across climate models and scenarios, never from a single model
Downscaling validationRegional hazard from downscaled projections is compared with local observations before it enters a loss model

Projections depend on emission pathways and on parameterised processes such as clouds and convection. Regional detail and changes in rare extremes carry wide uncertainty.

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.

Kontrol

Typical annual hazard intensity (location)
1.00 intensity index
Belavbûna nirxên tund (pîvan)
0.80 intensity index
Tundiya ku nîvê nirxê tê de winda dibe
4.00 intensity index
Belavbûna lawazî
0.55
Para nirxê di nav şopa metirsî de
40%
Standarda parastinê (heyama vegerê)
50 sal

Xwendin

Windahiya salane ya navînî
0.51% of value
Windahî di 1 ji 100 salan de
24.5% of value
Windahî di 1 ji 250 salan de
28.4% of value
Tundî di 1 ji 100 salan de
4.68 intensity index
Jimar, rêbaz û çavkanî
Heyama vegerê (sal)Intensity (intensity index)Windahî (% ya nirxê)
10.090.00
21.270.00
41.910.00
72.470.00
133.000.00
243.510.00
444.020.00
824.5323.55
1545.0326.44
2875.5328.87
5366.0330.88
1,0006.5332.53

Rêbaz

  1. Metirsî: nirxên dawîn ên Gumbel Gumbel (1958), Statistics of Extremes, Columbia University Press
  2. Nazikiya lognormal (lawazî) FEMA (2003), HAZUS-MH Technical Manual
  3. Qada îhtîmala derbasbûnê û windahiya salane ya navînî Grossi and Kunreuther (2005), Catastrophe Modeling, Springer
  4. Bandora bendavê Di Baldassarre and others (2013), Socio-hydrology, HESS 17
  5. Pankeya nediyarîyê (Monte Carlo ya parametreyan) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  6. Hesasiyeta yek-yek (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Dane

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:

  • Çem Natural Earth
  • Dirêjahiyên bajarî Natural Earth
  • Bajar Natural Earth
  • Erdhejên M4.5+, hefteya borî (USGS) U.S. Geological Survey · register usgs.earthquake.summary-feeds
  • Rêjeya baranê, nîv saeta dawîn (IMERG) NASA GPM IMERG Early · register nasa.gibs.context-live-layers
  • Pêşbînî: herikîna çemê, 30 roj bi navber (GloFAS bi riya Open-Meteo) Open-Meteo.com (CC BY 4.0), Copernicus GloFAS · register open-meteo.public-pages
  • Berfirehiya avakirî û niştecihbûnê, 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).

Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium

09Simulatorê cêwî û kaskade

Trace a shock in climate science for insurance hazard to the balance sheet.

Assembled from the Nexus Standards area profile Sîgorta û ji nû ve sîgorta: the shocks it names, the pergalan 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.

Metirsî

  • Tropical cyclone
  • Erdhej
  • Ice-jam flood
  • Agirê daristanan
  • 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)
  • Qutbûna berfireh a elektrîkê (li aliyê jêr çê dibe)
  • Koçberiya girseyî (li aliyê jêr çê dibe)
  • 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)

Kontrol

  • NS-0 Destûr û prensîb
  • NS-3 UNIyên tomara xetereyê (rêzimanî, nexşeya veguhastina ji pergala kevin, desthilata veqetandinê)
  • NS-9 UNI yên çarçoveyî (belavkirin, mînak, mînakên bernameyê)
  • NS-10 Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)
  • NS-11 Piştrastkirin û çavdêrî (delîl, erêkirin, çavdêriya lihevhatina zero-trust)
  • NS-14 Lihevhatin û nexşeya li standardên derveyî
  • NRS-F3 Sîgorta, xetera felaketan û valahiyên parastinê
  • NRS-H113 Malbata metirsiyê: Nazikiya pergala darayî (NHS-1 soc.financial-system)
  • NRS-U17 Universe platform profile: Insurance Nexus
  • NRS-H71 Malbata metirsiyê: Felaketên kozmîk û yên dema kûr (NHS-1 planet.deep-time)
  • NRS-H65 Malbata metirsiyê: Binpêkirinên sînorên gerstêrkê (NHS-1 planet.boundary)
  • NRS-F8 Veguhastina xeterê ya parametrîk û li ser bingeha îndeksê

Çavdêrî

  • 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

Erdnîgariya mînakê

  • Western Europe: 152 hexagonal cells
  • Rêjeya barînê, nîv saeta dawî (IMERG), NASA GIBS
  • Ronahiyên şevê îşev, qutbûn (VIIRS Day/Night Band), NASA GIBS
  • Ava rûyê erdê di nav ewr re, 30 m (radara OPERA DSWx-S1), NASA GIBS
  • Carbon monoxide, smoke transport (AIRS), NASA GIBS
10Stewardship

Who maintains the method.

Avhewa û metirsî stewards climate and atmospheric science for the Consortium and reviews how it is applied across platforms.

11Exposure, loss and capital

What climate science for insurance hazard 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 climate science for insurance hazard 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
Windahiya salane ya navînî3.12.22.2
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
12Girêdayî

Ev rûpel li ser Konsorsiyûmê te ber bi kû ve dibe.

13Pirs

Pirs û bersiv.

What are the limits of climate and atmospheric science in this field?
Projections depend on emission pathways and on parameterised processes such as clouds and convection. Regional detail and changes in rare extremes carry wide uncertainty.
How are results checked?
Models are evaluated against observed climatology, historical trends and paleoclimate records. Multi-model comparison and process-based diagnostics expose structural differences.
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?
Çavdêrxaneya canonical method page lists every platform that applies it.
rêzeya Pergalên StratejîkTevkarî bike

Ji vê rûpelê delîl bidin.

rêzeya Pergalên Stratejîk 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.

Global Risks AllianceInsurance NexusAmadebûna fînans û sîgortayêXetere û berxwedana sektorî ya cîhanî
Insurance Nexus

Bring an exposure or capital question to the Alliance.

Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.