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GRA · Reinsurance and Catastrophe

Spatial financeWhere capital meets hazard, exposure and transition

Ocean and coastal science for reinsurance and catastrophe

Ocean science explains bilindbûna pêlên bahozê, sea level rise, ocean warming and tsunamiyê. In catastrophe reinsurance it supplies coastal flood hazard and the ocean conditions that influence how intense tropical cyclones become.

02Serlêdan

What ocean and coastal science does here.

Ocean science studies the physics, chemistry, biology and geology of the oceans and coasts. It informs sea-level rise, bilindbûna pêlên bahozê, marine heatwaves, acidification and fisheries change, all of which affect coastal populations and trade. In insurance and catastrophe, climate and hazards and disaster and crisis, ocean projections guide coastal defence, port planning and fisheries management. They link marine hazards to food security, shipping routes and coastal economies. The canonical description is on the STEM Commons.

Storm surge modelling

Hydrodynamic models estimate surge heights from cyclone tracks, with tide and wave set-up, for coastal flood losses.

Sea level rise scenarios

Projected sea level rise is added to surge to estimate how coastal flood return periods change.

Ocean heat and cyclone intensity

Sea surface temperature and ocean heat content are examined as conditions for rapid intensification of tropical cyclones.

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 ocean and coastal science on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DaneRolNîşan
Tide gauge recordsObserved sea level and surgeÇAVDÊRÎKIRÎ
IPCC sea level projectionsSenaryoMODELKIRÎ
Sea surface temperature analysesOcean stateÇAVDÊRÎKIRÎ
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

Reinsurance and catastrophe · Ocean and coastal science · Run R-8822

Skill above referenceGRA · Reinsurance and Catastrophe

Forecast with range

Method card

Rêbaz
Zanista okyanûs û peravan
Reference
climatology
Lead times
1 to 10 steps
Nîşan
MODELKIRÎ

Verification by lead time

held-out period

T+20.200.280.33Marginal
T+40.160.180.36Marginal
T+60.410.240.27Skilful
T+80.140.190.36Skilful
Forecast verification: the screen’s structure, terms and states for Reinsurance and catastrophe.Nav û nirxên nimûneyî; sêwiran e, ne qeyd an pergaleke zindî ye.
06Erêkirin

How results are checked.

Models are checked against tide gauge records, altimetry and in situ profiles. Hindcasts of past storms and heatwaves test predictive skill.

Kontrol bikinHow it is done
Surge hindcastsModels reproduce observed surges
Scenario rangeSeveral sea level scenarios are shown
Coastal defence dataDefence heights are documented

Coastal processes at fine scale and ice sheet contributions to sea level remain uncertain. Observations of the deep ocean and polar seas are sparse.

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

08Connections

Topics that rely on this method.

09Simulatorê cêwî û kaskade

Trace a shock 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.

Okyanûs û peravên stewards ocean and coastal science for the Consortium and reviews how it is applied across platforms.

11Xetere û bersiv

Xetereya girêdayî, bersiva sepandî.

Sektorên ku di bilindbûna pêlên bahozê ya peravê de rûbirûbûnê hildigirin û windahiyek di yekê de çawa derbasî yên din dibe, li seranserê portfolyo û darayiya giştî.

Çarçoveyekê hilbijêrin

AXetera girêdayî di şeş sektoran de10 / 15 têkilî

Sektor · Bilindbûna ava behrê ya bahozê li peravanStres

Nimûneyî: zincîreke fêrkirinê li ser nirxên fêrkirinê, ne pîvan.
BBersiva sepandî li şeş stûnan12 / 18 radestkirin

Stûn · Bilindbûna ava behrê ya bahozê li peravanKPI

Sepanên ronîker; nirx pîvanên weşandî ne, di xwendina encamê de têne bi nav kirin.

Di vê çarçoveyê deGirêdayîbûn an radestkirin, giran bi hêztir eLi derveyî vê çarçoveyê

Çarçove

Bilindbûna ava behrê ya bahozê li peravan

Mangrove û kumên qûmê mewcê dimijin; li cihê ku wan tune ne, bender, binestasyon û lêgirtinên avê wê digirin.

W · E · I · F · H · B

Xetere

Sektor
5 ji 6
Têkilî
10 ji 15
Girêdan
0.64 para ji tevahiyê

Li goşeyek, xetek an rêzek bigerin da ku wê li ser her du aliyan bişopînin.

Rê

Li ser bilindbûna ava behrê ya bahozê li peravan hatiye sepandin

L · F · U · S · R · A

Bersiv

Stûn
5 ji 6
Radestkirin
12 ji 18
Çerx
8 girtî

Nirxa hêvîkirî

Ya li ber xetereyê
$390Bsalê herî kêm, di lêçûnên têkçûna binesazê de ji bo malbat û karsaziyên welatên bi dahata kêm û navînBanka Cîhanê, Lifelines, 2019
Vegera li ser berxwedanê
4 : 1sûd li hember lêçûnêBanka Cîhanê, Lifelines, 2019
Windahiya ku hatiye pêşîgirtin
$80Bwindahiyên lehiyê yên ku salê têne dûrxistinKomîsyona Cîhanî ya Lihevhatinê, Adapt Now, 2019

Li stûnek, xetek an rêzek bigerin da ku bixwînin ka çawa tê sepandin.

A: kaskadeyek hînkirinê (şok 0.6, qezenc 0.35, çar dor) li ser nirxên hînkirinê yên ji bo herêmeke bajarî ya tîpîk, ne pîvandin. B: sepanên nimûneyî û KPI ya ku her stûn bersiva wê dide; nirx pîvanên weşandî ne, bi çavkanî, ne pêşbînî. Bûyerên vekirî: NASA EONET, zindî.

12Girêdayî

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

13Exposure, 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 ocean and coastal science 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
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
14Pirs

Pirs û bersiv.

What are the limits of ocean and coastal science in this field?
Coastal processes at fine scale and ice sheet contributions to sea level remain uncertain. Observations of the deep ocean and polar seas are sparse.
How are results checked?
Models are checked against tide gauge records, altimetry and in situ profiles. Hindcasts of past storms and heatwaves test predictive skill.
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 AllianceSîgortaya duyemîn û katastrofAmadebûna fînans û sîgortayêRêbaz û teknîkî
Sîgortaya duyemîn û katastrof

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.