G-P03 · TOPIC · early-warning-readinessGCRI dossier · service level R0
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Topic dossier · Disaster Resilience and Recovery

Early warning readiness

An early warning system works only when the whole chain holds: risk knowledge, detection and forecasting, dissemination and communication, and preparedness to respond. Readiness is the last link, and it is where many systems break. This page sets out how warnings lead to action or fail to, how readiness is measured, and what evidence serves the authorities and communities that must act on warnings.

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

Layers 3

Hazards now, 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 early warning readiness, in GCRI's spatial-intelligence reading, the map opens on flood water, population density and true-colour imagery, framed on the Philippines; 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 · Copernicus Sentinel-2 L2ASources 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 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
  • 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
  • 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
  • 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
  • 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: NASA EONET Events are indicative, not official warnings.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • 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

  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026

01In brief

The short answer.

Early warning readiness is the ability of authorities and communities to act effectively when a warning arrives, the final link in a chain that runs from risk knowledge through detection and dissemination. Many systems break here, because messages are unclear, trust is low or people lack the means to act.

02Console

Anticipatory action console, in outline.

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

Anticipatory action console

Early warning readiness · Province C · Monsoon season

Readiness trigger reachedGCRI · Disaster Resilience and Recovery

Protocol

  1. Readinessforecast lead 10 d
  2. Activationlead 3 d
  3. Early actions72 h window
  4. Responseif event
  5. Learningreview

River forecast at trigger gauge

Pre-agreed actions

Cash to at-risk households72 h52Yes
Livestock evacuation48 h13Partial
Shelter kits72 h26Yes
Anticipatory action console: the screen's structure, terms and states for Early warning readiness.Placeholder names and illustrative values; a design, not a record or a live system.
03The question

Early warning readiness: how the risk develops.

Warnings, communication and last-mile issues. 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

A warning is a chain

Monitoring, forecasting, warning issue, transmission, understanding and action are separate steps run by different actors. A delay or gap at any step removes the value of the others.

Mechanism

Messages must be understood

Warnings in technical language, a single language or inaccessible formats fail to reach many people. Clear messages say what will happen, where, when and what to do.

Mechanism

Action needs means

People told to evacuate need transport, a safe destination, information about their homes and confidence that the warning is real. Without these, warnings are heard and ignored.

Mechanism

Trust is earned between events

False alarms, mixed messages from several sources and past experience shape whether people act. Drills and community involvement build the trust that makes action likely.

04Key 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
Early warning systemAn integrated system of hazard monitoring, forecasting, risk assessment, communication and preparedness that enables timely action.
Last mileThe final step in which warnings reach the people at risk.
Evacuation planA plan setting routes, transport, shelters and responsibilities for moving people out of danger.
05Indicators

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
Countries with multi-hazard early warning systemsstatus as reportedannualSendai Framework Monitor target GOFFICIAL
Population covered by warningspercent of populationannualSendai Framework Monitor target GOFFICIAL
Local governments with evacuation planspercent of local governmentsannualSendai Framework Monitor target GOFFICIAL
Warning received before impactpercent of surveyed householdsper event surveyPost-event surveysREPORTED
People who took protective actionpercent of surveyed householdsper event surveyPost-event surveysREPORTED
Time from warning to disseminationminutesper eventWarning logsOBSERVED
06Canvas

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 · Early warning readiness as a run graphDesign, not a record
Early warning readiness: flood forecasting and warning chainRainfall forecasts drive a hydrological then a hydraulic model; inundation maps are compared with thresholds; the mandated authority issues the warning, it reaches people through every channel, and action follows. 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.

07Sources

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
Sendai Framework Monitor, target GNational reporting on early warning coverage, plans and risk informationPublic, UN terms of use
Early Warnings for All initiative reports and country assessmentsProgress on the four pillars of early warningPublic, terms per publishing agency
WMO Register of Alerting AuthoritiesOfficial alerting authorities and their alert feedsPublic, WMO terms
IFRC and national society post-event evaluationsHow warnings were received and acted onPublic, terms per publisher
Global status reports on multi-hazard early warning systemsJoint UNDRR and WMO assessment of early warning coveragePublic, UN terms of use
08Decisions

Who decides, and what the evidence serves.

Disaster Resilience and Recovery 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
National disaster management authoritiesWhich links in the warning chain need strengthening firstWarning chain reviews; readiness assessments
Local governments and civil protectionHow evacuation, shelters and transport are organized for warned communitiesEvacuation plan coverage; post-event surveys
National meteorological and hydrological servicesHow warning content and format should changeSurvey evidence on understanding and action

Outputs this topic produces

  • Warning chain reviews from detection to household action
  • Readiness assessments against the Early Warnings for All pillars
  • Post-event survey designs and analyses
  • Message design guidance for clear, accessible warnings
09Core questions

What experts ask.

Warning researchers ask what happens between a forecast and a protective action.

  • Who receives warnings, through which channels, and who is missed?
  • Do people understand the warning, believe it applies to them and know what to do?
  • How do false alarms and missed events affect trust and future response?
  • How are warnings coordinated across agencies, hazards and borders?
  • What prevents people from acting, even when they understand the risk?
10Mechanisms and drivers

The chain from forecast to action.

Warning is a chain, and it breaks at its weakest link. Forecasts may be skilful but issued in technical terms; messages may be clear but sent through channels that some groups do not use; people may receive and understand them but lack transport, a safe place to go or the means to protect livelihoods. Social research shows that people typically seek confirmation from others before acting, and that trust in the source, past experience and the specificity of the message all shape response.

The last mile is where warnings most often fail: remote communities, people with disabilities, migrants who do not speak the language of the warning, and those without phones or power. Impact-based warnings, which describe what a hazard will do rather than only its physical parameters, and messages that state specific actions, generally improve response.

11Methods and data

How the evidence is built, and where it stops.

  1. 01

    Forecast verification

    Measuring forecast skill with forecasting and time-series analysis. Skill on hazard does not measure warning effectiveness.

  2. 02

    Warning response research

    Surveys and interviews on how people received and acted on warnings, with social and behavioural science. Recall after events is imperfect.

  3. 03

    Coverage analysis

    Mapping channel reach against population with geospatial information systems. Reach is not the same as reception or understanding.

  4. 04

    Post-event review

    Tracing the warning chain in a real event. Reviews are often internal and unpublished.

12Methods

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

13Questions

Questions and answers.

What are the four pillars of early warning?
Disaster risk knowledge; detection, observation, monitoring, analysis and forecasting; warning dissemination and communication; and preparedness and response capabilities, as used by the Early Warnings for All initiative.
Why do people ignore warnings?
Common reasons include unclear messages, distrust after false alarms, lack of transport or a safe destination, concern for property and not believing the hazard will affect them.
What is a people-centred early warning system?
A system designed around the needs, knowledge and capacities of the people at risk, so that warnings reach them and they can act.
Does the platform issue warnings?
No. Warnings are issued by the competent national and local authorities. The platform studies how warning systems perform and publishes evidence on what makes them effective.
Why do accurate warnings sometimes fail?
Because accuracy is only the first link. Warnings must reach people, be understood and trusted, and people must have the means to act. Any break in that chain can undo a good forecast.
Do false alarms reduce trust?
Evidence is mixed. Clear communication about uncertainty and the reasons for a warning can limit loss of trust, while unexplained false alarms tend to erode it.
Disaster Resilience and Recovery

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