R04 · TOPIC · strategic-scenariosGRF dossier · service level R0
GRFForesight NexusEstablished
Topic dossier · Foresight Nexus

Strategic scenarios

Scenarios are structured descriptions of plausible alternative futures, built so that an institution can test its strategy against conditions it does not expect. They are not forecasts and carry no probability. Their worth lies in widening the range of futures that decision-makers take seriously, exposing hidden assumptions and preparing options in advance. This page sets out how scenario work is designed, how it succeeds or fails inside institutions, and who uses it.

01In brief

The short answer.

Scenario planning is the use of structured descriptions of plausible alternative futures to test whether a strategy holds under conditions an institution does not expect. Scenarios are not forecasts and carry no probability; their worth lies in widening the futures decision-makers take seriously and in signposts that show which one is unfolding.

02Geography

Hazards and exposure in the Arctic.

For strategic scenarios, in GRF's situational-awareness reading, the map opens on population density, daytime surface heat, rain and flood water with relief in 3D and clouds now from NASA GIBS, framed on the Arctic; every other NASA layer, live feed and forecast waits in the layer list.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 4

Hazards and exposure, for this page

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.

For strategic scenarios, in GRF's situational-awareness reading, the map opens on population density, daytime surface heat, rain and flood water with relief in 3D and clouds now from NASA GIBS, framed on the Arctic; 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 · NASA EONET · GDACS · NOAA GOES-East ABI GeoColorSources 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). 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
  • 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
  • GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. 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
  • 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: NASA EONET Events are indicative, not official warnings.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Live: NOAA GOES-East ABI GeoColor (CIRA). 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).
  • 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

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026

03Console

Policy wind tunnel, in outline.

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

Policy wind tunnel

Strategic scenarios · Scenario set B · Policy: POL-56

Fails in one scenarioGRF · Foresight Nexus

Policy performance by scenario

0 fails to 100 robust

Higher is more robust. Placeholder scores.

Signposts to monitor

  1. S-1Trade restrictions on inputstriggers adaptation 2quarterly
  2. S-2Cost of sensorstriggers scale-upannual
Policy wind tunnel: the screen's structure, terms and states for Strategic scenarios.Placeholder names and illustrative values; a design, not a record or a live system.
04The question

Strategic scenarios: how the risk develops.

Plausible alternative futures. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Drivers and critical uncertainties

Scenario design starts by separating predetermined elements, such as cohorts already born, from critical uncertainties whose direction is open and whose impact is large. The choice of uncertainties shapes everything that follows, so it is documented and challenged.

Mechanism

Divergent, consistent futures

Each scenario follows a coherent logic from today to the horizon. Consistency checks remove combinations that cannot coexist; divergence ensures the set spans futures that would call for different responses.

Mechanism

Testing strategy, not choosing a future

Policies and plans are wind-tunnelled against every scenario. A strategy that works in only one future is fragile; one that holds across the set, or can be adapted in time, is robust.

Mechanism

Capture and fatigue

Scenarios fail when they are written to confirm an agreed plan, when a preferred scenario quietly becomes the forecast, or when the set is never refreshed. Ownership by a decision-holder and a review schedule keep them in use.

05Key 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
Critical uncertaintyA driver that is both highly uncertain and highly important, used to define scenario axes.
Wind-tunnellingTesting a strategy against each scenario to see where it holds and where it fails.
SignpostAn observable indicator that a particular scenario is becoming more likely.
06Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Scenario sets in current use by governmentcount of published setsannualPublished foresight reportsOFFICIAL
Policies and strategies tested against a scenario setcount per planning cycleper cycleCabinet and ministry planning recordsOFFICIAL
Interval between scenario refreshesmonthsper setPublication recordOFFICIAL
Participant range in scenario exercisespersons by sector, region and age groupper exerciseWorkshop recordsREPORTED
Signposts tracked against each scenariocount of signpostsquarterlySignpost registerREPORTED
Strategies citing scenario evidenceshare of strategy documentsannualDocument analysisESTIMATED
07Canvas

From sources to decisions.

The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.

Pipeline canvas · Strategic scenarios as a run graphDesign, not a record
Strategic scenarios: climate scenario analysis pipelineOrderly, disorderly and hot house scenarios supply pathways for carbon prices and macro variables; transition and physical channels change sector and asset outcomes; credit parameters and portfolio losses follow, and results are disclosed with their limits. Design of the process, not a record of a run.

Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.

08Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
IPCC AR6 Scenario Database (hosted by IIASA)Quantified emissions, energy and land pathways from integrated assessment models assessed by the IPCCFree with attribution, database licence terms
SSP Database (IIASA)Population, urbanisation and economic projections for each shared socioeconomic pathwayFree with registration, IIASA terms
IEA World Energy Outlook scenariosStated policies, announced pledges and net zero pathways for energy supply and demandIEA terms, part free and part licensed
NGFS climate scenariosTransition and physical risk scenarios used by central banks and supervisorsFree with attribution
US National Intelligence Council Global TrendsLong-range scenarios on global structural forces, published each presidential termPublic domain, US government work
UK Ministry of Defence Global Strategic TrendsLong-horizon trend analysis and alternative futures for defence and security planningOpen Government Licence
09Decisions

Who decides, and what the evidence serves.

Foresight Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Cabinet offices and prime ministers' strategy unitsWhether a national strategy holds across plausible futures, or needs contingent optionsScenario sets with their uncertainties and assumptions, wind-tunnel results and the signposts to watch
Central banks and prudential supervisorsWhich climate and macro-financial scenarios to use in supervisory exercisesScenario narratives, their parameter choices and their coverage of severe but plausible conditions
Ministries of defence and foreign affairsWhich capabilities and partnerships remain sound across alternative security environmentsAlternative futures with the drivers that separate them and the institutional responses each calls for
Energy ministries and system operatorsWhich investments hold across energy transition pathwaysPublished pathways compared on demand, technology and policy assumptions

Outputs this topic produces

  • Foresight outlooks with scenario sets, drivers and assumptions stated
  • Scenario learning protocols for workshops and policy wind-tunnelling
  • Signpost registers that track which scenario conditions are emerging
  • Comparisons of scenario sets published by different institutions
10Core questions

What practitioners ask.

  • Which driving forces are both highly uncertain and highly important for the question at hand?
  • How many scenarios are useful, and how different should they be?
  • How can scenarios include surprises and discontinuities without becoming implausible?
  • How should quantitative models and qualitative narratives be combined?
  • How can scenarios be used to test strategies rather than simply describe futures?
11Mechanisms

Drivers and dynamics.

Scenario practice has deep roots in military planning and corporate strategy, where it helped organizations prepare for shocks that conventional forecasts missed. A common approach identifies the critical uncertainties, the forces that matter most and are least predictable, and builds contrasting futures around them. Other approaches start from a desired or feared end state and work backwards, or develop scenarios through participatory processes with stakeholders.

Scenarios change decisions when they are developed with the people who will use them, when they are challenging but plausible, and when they are used to test specific strategies. They fail when they are too close to the official forecast, when one scenario is treated as the preferred future, or when they are produced by outsiders and handed over without engagement.

12Methods and limits

How it is approached.

  1. 01

    Driver analysis

    Structured identification of forces, ranked by importance and uncertainty.

  2. 02

    Narrative development

    Coherent, internally consistent stories that describe how each future could emerge.

  3. 03

    Quantified scenarios

    Models from scenario design and stress testing and complex systems and agent-based modelling add consistency and scale where data allows.

  4. 04

    Limits

    Scenarios reflect the imagination and biases of those who build them, cannot be validated in advance, and can be misread as forecasts if not carefully labelled.

13Methods

How it is studied, and what the methods cannot say.

  1. Scenario design and stress testingExploratory scenario development · Policy wind-tunnellingApplied here
  2. Decision analysis under uncertaintyRobust decision making · Dynamic adaptive policy pathways · Structured expert elicitationApplied here
  3. Complex systems and agent-based modellingSystems mapping of drivers · Agent-based exploration of social changeApplied here
  4. Forecasting and time-series analysisAggregated judgemental forecasting · Probabilistic population projectionsApplied here
15Questions

Questions and answers.

Why do scenarios not say which future is most likely?
Because their purpose is to test decisions against a range of futures, not to bet on one. Assigning probabilities invites planners to prepare for the likeliest case and ignore the rest, which is the failure scenarios exist to prevent.
How many scenarios should a set contain?
Practice commonly uses three or four: enough to span distinct futures, few enough to hold in mind. Sets built as a central case with variants tend to collapse into a forecast with sensitivities.
What is wind-tunnelling?
Testing an existing or proposed policy against each scenario in turn, asking whether it still achieves its aims and what would need to change. It turns scenarios from narratives into a check on strategy.
Are climate pathways the same as strategic scenarios?
They share methods but differ in purpose. Climate pathways quantify emissions and impacts for assessment; strategic scenarios explore the wider conditions an institution may face. Many exercises now combine both.
Why not just pick the most likely scenario?
Because scenarios are designed to test strategies across different futures. Choosing one defeats their purpose.
Are scenarios the same as stress tests?
They are related. A stress test applies a severe scenario to a system to see how it performs; scenarios more broadly explore how the future could unfold.
How many scenarios should there be?
Often three or four, enough to show real differences without overwhelming users, but practice varies with purpose.
Who reviews coverage of this topic?
Published analysis is designed to be reviewed by a named subject reviewer, to cite its references and to include independent specialist voices. Where specialists disagree, the disagreement is reported rather than resolved by omission.
Foresight Nexus

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.

Have questions?