Storm surge modelling
Hydrodynamic models estimate surge heights from cyclone tracks, with tide and wave set-up, for coastal flood losses.
GRA · Reinsurance and Catastrophe
Spatial financeWhere capital meets hazard, exposure and transition
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.
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.
Hydrodynamic models estimate surge heights from cyclone tracks, with tide and wave set-up, for coastal flood losses.
Projected sea level rise is added to surge to estimate how coastal flood return periods change.
Sea surface temperature and ocean heat content are examined as conditions for rapid intensification of tropical cyclones.
How a storm crossing a trigger zone would set a payment. Real geography; synthetic storm and design terms.
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.
| Dane | Rol | Nîşan |
|---|---|---|
| Tide gauge records | Observed sea level and surge | ÇAVDÊRÎKIRÎ |
| IPCC sea level projections | Senaryo | MODELKIRÎ |
| Sea surface temperature analyses | Ocean state | ÇAVDÊRÎKIRÎ |
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Reinsurance and catastrophe · Ocean and coastal science · Run R-8822
held-out period
| T+2 | 0.20 | 0.28 | 0.33 | Marginal |
| T+4 | 0.16 | 0.18 | 0.36 | Marginal |
| T+6 | 0.41 | 0.24 | 0.27 | Skilful |
| T+8 | 0.14 | 0.19 | 0.36 | Skilful |
Models are checked against tide gauge records, altimetry and in situ profiles. Hindcasts of past storms and heatwaves test predictive skill.
| Kontrol bikin | How it is done |
|---|---|
| Surge hindcasts | Models reproduce observed surges |
| Scenario range | Several sea level scenarios are shown |
| Coastal defence data | Defence 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.
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
Xwendin
| Heyama vegerê (sal) | Intensity (intensity index) | Windahî (% ya nirxê) |
|---|---|---|
| 1 | 0.09 | 0.00 |
| 2 | 1.27 | 0.00 |
| 4 | 1.91 | 0.00 |
| 7 | 2.47 | 0.00 |
| 13 | 3.00 | 0.00 |
| 24 | 3.51 | 0.00 |
| 44 | 4.02 | 0.00 |
| 82 | 4.53 | 23.55 |
| 154 | 5.03 | 26.44 |
| 287 | 5.53 | 28.87 |
| 536 | 6.03 | 30.88 |
| 1,000 | 6.53 | 32.53 |
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:
Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium
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
Pergal û girêdan
Kontrol
NS-0 Destûr û prensîbNS-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 derveyîNRS-F3 Sîgorta, xetera felaketan û valahiyên parastinêNRS-H113 Malbata metirsiyê: Nazikiya pergala darayî (NHS-1 soc.financial-system)NRS-U17 Universe platform profile: Insurance NexusNRS-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 îndeksêÇavdêrî
Erdnîgariya mînakê
Okyanûs û peravên stewards ocean and coastal science for the Consortium and reviews how it is applied across platforms.
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
Sektor · Bilindbûna ava behrê ya bahozê li peravanStres
Stûn · Bilindbûna ava behrê ya bahozê li peravanKPI
Di vê çarçoveyê deGirêdayîbûn an radestkirin, giran bi hêztir eLi derveyî vê çarçoveyê
Sala bernameyêHemû qonax
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
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
Nirxa hêvîkirî
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.
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.
How losses from ocean and coastal science for reinsurance and catastrophe grow with severity, gross and net of reinsurance, against capital.
| Return period | Annual probability | Gross loss | Net loss | Net, capital = 100 |
|---|---|---|---|---|
| 1 in 10 | 0.10 | 14 | 10 | 10 |
| 1 in 50 | 0.02 | 33 | 21 | 21 |
| 1 in 100 | 0.01 | 46 | 27 | 27 |
| 1 in 250 | 0.004 | 68 | 39 | 39 |
| Windahiya salane ya navînî | 3.1 | 2.2 | 2.2 |
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.
Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.
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Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.
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