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GRAReinsurance and CatastropheIn development
Reinsurance and Catastrophe · Financial discipline overview

Financial discipline overview

Catastrophe risk management sits where natural science, engineering, statistics and finance meet. Reinsurers and insurers use it to decide how much risk to hold, how much capital they need and how to share risk with others. This page describes the discipline as research, not execution: what experts study and why it matters for systemic risk.

Publisher
The Global Risks Alliance
Field
Insurance and catastrophe, Climate and hazards, Disaster and crisis
Status
In development
Service level
R0: information and enquiries

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Layers 3

Activity and exposure, for this page

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

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Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

For financial discipline overview, in GRA's spatial-finance reading, the map opens on night lights, population density and flood water with built-up and settlement extent from NASA GIBS, framed on the Gulf of Mexico coast; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · GDACS · CIESIN/Columbia, NASA SEDAC HBASESources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Context: CIESIN/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.
  • Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026

GeographyFor financial discipline overview, in GRA's spatial-finance reading, the map opens on night lights, population density and flood water with built-up and settlement extent from NASA GIBS, framed on the Gulf of Mexico coast; every other NASA layer, live feed and forecast waits in the layer list.

STEM methods
8
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
11
Platforms in shared fields at GCRI, GRF and GRA
Report series
2
Nexus Reports series it contributes to
01In brief

The short answer.

The Reinsurance and Catastrophe sector overview covers reinsurance, catastrophe modelling, protection gaps and accumulated physical risk in the insurance system. It sets out who is in scope, from reinsurance analysts and catastrophe modellers, how risk reaches the sector and how it travels onward, analysed with NatCat modelling, exposure aggregation, and recovery and uncertainty. GRA builds shared industry understanding and does not advise, rate or assess individual firms.

02Canvas

One field, three institutions.

Canvas · one field, three institutionsDesign, not a record
One field, three institutions: Reinsurance and Catastrophe and its counterpartsGCRI studies the field as science, GRF governs and convenes it, GRA builds shared financial understanding; the Nexus Universe tests work across them and the competent authorities decide. Design of the arrangement, not a record.

Fig.How GCRI, GRF and GRA share one field while the authorities decide. Design, not a record.

03Console

Field overview, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Field overview: the screen's structure, terms and states for Reinsurance and catastrophe.Placeholder names and illustrative values; a design, not a record or a live system.
04The discipline

What catastrophe risk research studies.

The discipline studies the frequency and severity of extreme events, using extreme value theory and tail risk; the response of buildings and infrastructure to hazards, using structural and earthquake engineering; the financial terms of insurance and reinsurance, using actuarial mathematics; and the uncertainty in all of these, using uncertainty quantification and model validation.

Its central tool is the catastrophe model, which simulates many possible events, estimates damage and applies policy terms to produce loss distributions. See catastrophe models.

05Sector map

The parts of the system Reinsurance and Catastrophe examines.

Reinsurance and Catastrophe frames are set by IAIS, EIOPA and Lloyd's and market bodies.

PartChannel Reinsurance and Catastrophe studies
Primary insurersCede peak risk
ReinsurersHold and retrocede
ILS investorsTake collateralised tail risk
Public poolsCover sovereign and residual risk

Shocks travel between these parts, and Reinsurance and Catastrophe studies the links: How far does a severe year reach into reinsurance layers? The evidence base is event sets, exposure and loss records.

06Why it matters

Catastrophe risk shapes who can recover after disasters.

Recovery

Funding reconstruction

Insurance claims fund rebuilding; where protection is missing, recovery is slower. See protection gaps.

Solvency

Insurer resilience

Underestimated catastrophe exposure can threaten insurer solvency.

Diversification

Global risk sharing

Reinsurance spreads regional catastrophe losses across the global market.

07Research, not execution

How the platform approaches the discipline.

This page is general research for professional understanding. It is not underwriting, pricing, investment or legal advice, and it does not recommend any model, product or counterparty.

08Connections

How the discipline links to other fields.

Hazard science comes from GCRI platforms such as Climate and Hazards and Oceans and Coasts. Public disaster finance is studied by GRA's Disaster Risk Finance. Transmission into the wider financial system is set out in financial-system transmission.

The field gateways for insurance and catastrophe, climate and hazards and disaster and crisis list every Consortium platform working on these subjects.

09Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Transmission channelThe route by which a shock reaches financial institutions' balance sheets.
ReinsuranceInsurance bought by insurers to transfer part of their risk to another carrier, limiting the effect of large or accumulated losses on their capital.
Catastrophe modelSoftware that combines hazard, exposure and vulnerability modules to simulate many possible events and estimate the distribution of insured loss.
Systemic riskThe risk of disruption to financial services caused by impairment of all or parts of the financial system, with serious consequences for the real economy, as the IMF, FSB and BIS define it.
11Pages

Pages in Financial discipline overview.

12Questions

Questions and answers.

Is catastrophe modelling only for insurers?
No. Governments, development institutions and others use similar models. The platform focuses on the insurance system's use of them.
Does the platform build catastrophe models?
No. It studies how models work and how they are validated, as shared industry research.
Why is uncertainty so important?
Because catastrophe losses lie in the tail of the distribution, where data are sparse and estimates are most uncertain.
Which perils does the discipline cover?
Natural perils such as tropical cyclones, earthquakes, floods, severe convective storms and wildfire, and the secondary effects of each. Man-made catastrophes are related but outside this platform's core scope.
Reinsurance and Catastrophe

Bring your expertise to this field.

The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.

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