Reports · GCRI · Established
Risk management and systemic risk · Methods and modelling
Systemic Risk Management in Reports
Risk management that sees interdependence, uncertainty, cascading loss and the human consequences of decisions. This page shows the series it feeds, the evidence behind it and how to contribute.
- Series
- 3
- Systems
- 3
- Methods
- 6
What this area brings to the editions.
Risk management that sees interdependence, uncertainty, cascading loss and the human consequences of decisions.
Systemic Risk Management on the map.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
Hazards and exposure, for this page
About this layer
- Evidence
- Estimated
- Source
- Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
- Provider
- NASA SEDAC (CIESIN, Columbia University)
- Licence
- CC BY 4.0
- Vintage
- static product; Census-based estimate, static (2020)
- Resolution
- about 1 km grid
- Uncertainty
- Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds leave gaps)
- Source
- VIIRS Global Flood Product (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds leave gaps
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (persistent cloud still leaves gaps)
- Source
- VIIRS NOAA-20 Level 3, 8-day (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- 8-day; Satellite 8-day composite; persistent cloud still leaves gaps
- Newest at build
- 2026-09-14
- Resolution
- about 1 km grid
- Uncertainty
- Satellite skin temperature of the ground over the 8 days ending on the date shown, a heat exposure indicator; not air temperature, heat index or a heat warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS NOAA-20 corrected reflectance (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite image
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Modelled (latest year GIBS publishes)
- Source
- MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
- Provider
- NASA LP DAAC
- Licence
- NASA open data
- Vintage
- yearly; Satellite classification; latest year GIBS publishes
- Newest at build
- 2024-01-01
- Resolution
- about 500 m grid
- Uncertainty
- Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds and overpass timing leave gaps)
- Source
- VIIRS NOAA-20 375 m (FIRMS) (NASA LANCE FIRMS)
- Provider
- NASA LANCE FIRMS
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds and overpass timing leave gaps
- Newest at build
- 2026-10-13
- Resolution
- about 500 m grid
- Uncertainty
- Satellite hot-spot detections for the day shown, including gas flares and industrial heat; not a confirmed fire, an incident report or a warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Loading the latest NASA imagery.
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.
Hazards and exposure, framed on Asia.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · U.S. Geological Survey · NASA JPL OPERA DIST-ALERT
Sources 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
- 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). doi:10.7927/H49C6VHW. 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
- MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and 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
- 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). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. 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 events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- Live: NASA EONET Events are indicative, not authority warnings.
- Live: U.S. Geological Survey Events are indicative, not authority warnings.
- Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). 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).
- NASA GIBS: 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).
- River discharge forecast, 30 days with range (GloFAS via Open-Meteo): Contains modified Copernicus Emergency Management Service information 2026; not a flood warning.
- Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
- Optional layers (11 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
- 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
- True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
- Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
- Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
9 findings of the drafted editions that bear on Systemic Risk Management.
Drawn from the Baseline Edition 2026 drafts through the systems this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREUnited Arab EmiratesThe leading compound pathway for 2027 testing is a humid summer heat peak that loads power, desalination and outdoor-work protection together.EXPERT INPUT · COUNTRY-ARE-SYS-012
- ARGArgentinaThe leading compound pathway for 2027 testing is a multi-year drought with low Paraná flows that cuts harvests, river exports, hydropower and public revenue together.EXPERT INPUT · COUNTRY-ARG-SYS-012
- AUAfrican UnionThe leading compound pathway for 2027 testing is a drought year across several member states, met by high food prices and a disease outbreak.EXPERT INPUT · COUNTRY-AU-SYS-012
- AUSAustraliaThe leading compound pathway for 2027 testing is a hot, dry summer in which fire, smoke, heat and grid stress coincide in the populated south-east.EXPERT INPUT · COUNTRY-AUS-SYS-012
- BRABrazilThe leading compound pathway for 2027 testing is a strong El Niño drought that lowers Amazon rivers and hydropower while fire and thermal dispatch rise together.EXPERT INPUT · COUNTRY-BRA-SYS-012
- CHESwitzerlandThe leading compound pathway for 2027 testing is a dry year with low reservoirs and low river flows that cuts hydropower and raises winter import dependence at the same time as farm and forest stress.EXPERT INPUT · COUNTRY-CHE-SYS-012
- CHNChinaThe leading compound pathway for 2027 testing is extreme rain on a dense plain in a hot summer that cuts roads, underground transport, water and care together.EXPERT INPUT · COUNTRY-CHN-SYS-012
- EUEuropean UnionThe leading compound pathway for 2027 testing is a summer of heat, drought and fire across several member states at once, met by tight energy supply.EXPERT INPUT · COUNTRY-EU-SYS-012
- GS-02Global EnergyThe leading compound pathway for 2027 testing is a fuel supply shock that coincides with a hot, high-demand season and a stressed grid.EXPERT INPUT · SECTOR-ENERGY-GLOBAL-SYS-012
From Foundry evidence to the series.
The evidence, step by step, from the systems this area reads to the series it feeds.
How Systemic Risk Management reaches Reports: what it reads, how it reads it, the sealed cut and the series it feeds.
| Step | What happens | Source |
|---|---|---|
| 01 What it reads | Systemic Risk Management reads NXS-DSS (decision cases and deliberation) and The Global Risks Index (NXS-GRX): governed sources with their releases, never a value without its source. | |
| 02 How it reads them | Decision analysis under uncertainty and Scenario design and stress testing turn the evidence into findings, with assumptions and limits stated beside each value. | |
| 03 The cut is sealed | Each quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt. | |
| 04 The series it feeds | The cut feeds Scenario and Stress-Test and Methods and Technical, from the Baseline Edition 2026 into the quarterly series. | |
| 05 Who decides | Decisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it. |
A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Systemic Risk Management in Reports (2026); Systemic Risk Management home (2026).
The series it feeds, and what backs each.
| Series | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| Scenario and Stress-Test | NXS-DSS combined scenario sets and the option appraisals run on them NXS-GRX the cascade paths a stress test follows | Scenario analysis and stress testing Uncertainty and decision making Systemic, compound and cascading risk | Scenario and Stress-Test series home |
| Methods and Technical | NXS-GRX the methods, indicators and validation studies behind each product NXS-LAB (research, experiments and simulations) method comparisons under transparent test conditions NXS-NXQ (software, models and capability lifecycle) the fitness record of models and tools the methods use | Quantitative risk analysis and statistics Model risk and validation Risk indicators and composite indices | Methods and Technical series home |
| Portfolio and Readiness | NXS-CMD (integrated posture and executive synthesis) national and programme portfolios with their readiness evidence NXS-AAP (anticipatory action and triggers) whether early actions can be delivered within their lead time NXS-RLS (participants, agreements and handoffs) the commitments and conditions attached to each portfolio item | Development finance Enterprise risk management and risk frameworks Early warning and anticipatory action | Portfolio and Readiness series home |
The systems, methods and teaching behind it.
- NXS-DSSNXS-DSSNXS-DSSRooms: Scenarios, Decisions.
- NXS-GRXNXS-GRXNXS-GRXNXS-GRX
- NXS-CMDNXS-CMDNXS-CMDRooms: Portfolios, Council.
- STEM methodSTEM CommonsDecision analysis under uncertaintyThe canonical method page, with its limits.
- STEM methodSTEM CommonsScenario design and stress testingThe canonical method page, with its limits.
- STEM methodSTEM CommonsProbability and statisticsThe canonical method page, with its limits.
- STEM methodSTEM CommonsNetwork science and contagionThe canonical method page, with its limits.
- STEM methodSTEM CommonsReliability and resilience engineeringThe canonical method page, with its limits.
- STEM methodSTEM CommonsUncertainty quantification and model validationThe canonical method page, with its limits.
- Academy disciplineRisk AcademySystemic, compound and cascading riskFaculty of Systems and Nexus Studies
- Academy disciplineRisk AcademyReliability, safety and resilience engineeringFaculty of Infrastructure, Energy and Industry
- Academy disciplineRisk AcademyEnterprise risk management and risk frameworksFaculty of Risk Science and Methods
- Academy disciplineRisk AcademyAssurance, internal control and risk cultureFaculty of Risk Science and Methods
- Academy disciplineRisk AcademyQuantitative risk analysis and statisticsFaculty of Risk Science and Methods
- Academy disciplineRisk AcademyScenario analysis and stress testingFaculty of Risk Science and Methods
- FieldGCRIRisk management and systemic riskThe field across science, governance and finance.
- FieldGCRIMethods and modellingThe field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRFReportsPolicy NexusShared: Risk management and systemic risk.
- Counterpart · GRFReportsForesight NexusShared: Risk management and systemic risk.
- Counterpart · GRFReportsGovernance NexusShared: Risk management and systemic risk.
- Counterpart · GRAReportsFinancial StabilityShared: Risk management and systemic risk.
- Counterpart · GRAReportsActuarial and Quantitative RiskShared: Methods and modelling.
- Standards areaNexus StandardsData and datasetsData and evidence. Parts NS-3, NS-3b, NS-11, NS-1.
- Standards areaNexus StandardsProvenance and evidenceData and evidence. Parts NS-3b, NS-11, NS-3.
- Standards areaNexus StandardsVerification and monitoringTrust, verification and assurance. Parts NS-11, NS-10, NS-14.
- Standards areaNexus StandardsPrivacy and data protectionData and evidence. Parts NS-10, NS-11, NS-3.
- Standards areaNexus StandardsFinance and payments dataFinance, insurance and the economy. Parts NS-9, NS-10, NS-11, NS-14.
- Standards areaNexus StandardsSovereign deployment and data residencyOpen infrastructure and developers. Parts NS-9, NS-10, NS-11, NS-0.
Topic pages on Systemic Risk Management.
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Systemic Risk Management’s open record
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- Systemic Risk Management
- Feeds
- Scenario and Stress-Test, Methods and Technical, Portfolio and Readiness
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