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GCRI · Climate and Hazards

Earthquakes and geohazards

Earthquakes, tsunamis, volcanic eruptions, landslides and subsidence arise from the solid Earth and give little or no warning. Their timing cannot be predicted, but where and how strongly they can occur can be assessed and built for. This page sets out how geohazards arise, how hazard is estimated probabilistically, and what evidence serves the agencies that set building codes, plan land use and monitor active systems.

01Register

Earthquakes and geohazards on the record.

02The question

Earthquakes and geohazards: how the risk develops.

Earthquakes, volcanoes and related hazards. 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

Faults store and release strain

Tectonic plates move steadily, and faults lock until stress exceeds their strength. The sudden slip radiates seismic waves whose shaking depends on magnitude, distance, depth and local ground.

Mechanism

Ground conditions amplify shaking

Soft sediments amplify and lengthen shaking, and loose saturated soils can liquefy. Two buildings at the same distance from an earthquake can experience very different motion.

Mechanism

Tsunamis follow seafloor movement

Earthquakes, submarine landslides and volcanic collapses displace water, sending waves across ocean basins. Near-source coasts may have only minutes before arrival.

Mechanism

Triggers set off secondary hazards

Strong shaking and heavy rain trigger landslides, which can dam rivers and later release floods. Volcanic ash disrupts aviation and agriculture far from the vent.

03Geography

Hazards now worldwide.

Population density, night lights and land cover across the world, from NASA GIBS. Each layer carries its own date.

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

Layers 3

Hazards now, 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
null; 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
Source
VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
Provider
NASA LAADS DAAC
Licence
NASA open data
Vintage
daily; Satellite radiance, corrected for moonlight and atmosphere
Newest at build
2026-10-12
Resolution
about 500 m grid
Uncertainty
Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
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
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 leave gaps)
Source
MODIS Terra EVI (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite index; clouds leave gaps
Newest at build
2026-10-13
Resolution
about 250 m grid
Uncertainty
Satellite vegetation index for the 8 days to the date shown, a habitat condition indicator; not a measure of species or biodiversity.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

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 now, framed on the world.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-ALERTSources 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 hexagonal 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 hexagonal 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 hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • 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 hexagonal 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 hexagonal 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 hexagonal 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 hexagonal 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 hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal 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.
  • 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 (20 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
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 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
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026

04Across the domains

Earthquakes strike lifelines first.

Seismic risk analyses are designed for the Country Systems Risk and Resilience series. Hazard and risk maps of the Global Earthquake Model Foundation and USGS ShakeMap and PAGER are the main open references; earthquakes cannot be predicted, and the page presents probabilities, not dates.

  • Building inventory and structural data for exposure models.
  • Post-event damage surveys.
05Monitor

Flood and storm hazard modeller.

The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.

Flood and storm hazard modeller

Earthquakes and geohazards · River delta · Return period set

Model run completeGCRI · Climate and Hazards

Flood depth by return period

hydraulic model · illustrative

PortTownPlantSeaBands: 1-in-10 · 1-in-100 · 1-in-1000N

Scenario set

1-in-10140.9
1-in-100371.4
1-in-1000632.1

Validation against observed flood

Flood and storm hazard modeller: the screen’s structure, terms and states for Earthquakes and geohazards.Example names and illustrative values; a design, not a record or a live system.
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
Earthquake magnitudemoment magnitudeper eventSeismic network cataloguesOBSERVED
Peak ground accelerationfraction of gravityper eventStrong-motion stations and ShakeMap estimatesOBSERVED
Macroseismic intensityintensity scale levelper eventFelt reports and intensity modelsESTIMATED
Seismic hazard at a return periodpeak ground acceleration with a stated exceedance probabilityper model releaseProbabilistic seismic hazard modelsMODELLED
Landslide susceptibilitysusceptibility classper assessmentSusceptibility modelsMODELLED
Ground deformation ratemillimetres per yearper acquisition seriesSatellite radar interferometryOBSERVED
Volcanic alert levelalert level on the observatory’s scaleas issuedVolcano observatoriesPublished statistics
07Simulator

Hazard to loss: the exceedance curve.

How often a given loss is exceeded, from a Gumbel hazard, a lognormal fragility and a protection standard; the area under the curve is the average annual loss. Teaching model with stated illustrative values, not a prediction.

Controls

Typical annual peak ground acceleration (location)
0.04 g peak ground acceleration
Spread of extremes (scale)
0.05 g peak ground acceleration
Intensity at which half the value is lost
0.45 g peak ground acceleration
Dispersion of vulnerability
0.60
Share of value in the hazard footprint
40%
Protection standard (return period)
50 years

Readouts

Average annual loss
0.18% of value
Loss at 1 in 100 years
7.9% of value
Loss at 1 in 250 years
11.1% of value
Intensity at 1 in 100 years
0.27 g peak ground acceleration
Numbers, methods and sources
Return period (years)Intensity (g peak ground acceleration)Loss (% of value)
1−0.020.00
20.060.00
40.100.00
70.130.00
130.170.00
240.200.00
440.230.00
820.267.23
1540.299.40
2870.3211.60
5360.3513.79
1,0000.3915.92

Methods

  1. Gumbel extreme-value hazard Gumbel (1958), Statistics of Extremes, Columbia University Press
  2. Lognormal fragility (vulnerability) FEMA (2003), HAZUS-MH Technical Manual
  3. Exceedance-probability curve and average annual loss Grossi and Kunreuther (2005), Catastrophe Modeling, Springer
  4. Levee effect Di Baldassarre and others (2013), Socio-hydrology, HESS 17
  5. Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  6. One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Data

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:

  • Rivers Natural Earth
  • Urban extents Natural Earth
  • Cities Natural Earth
  • Earthquakes M4.5+, past week (USGS) U.S. Geological Survey · register usgs.earthquake.summary-feeds
  • Rain rate, last half hour (IMERG) NASA GPM IMERG Early · register nasa.gibs.context-live-layers
  • River discharge forecast, 30 days with range (GloFAS via Open-Meteo) Open-Meteo.com (CC BY 4.0), Copernicus GloFAS · register open-meteo.public-pages
  • Built-up and settlement extent, 2010 (HBASE, Landsat) CIESIN/Columbia, NASA SEDAC HBASE · register sedac.context-urban-layers
Hazard to loss: the exceedance curve. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Gumbel extreme-value hazard (Gumbel (1958), Statistics of Extremes, Columbia University Press); Lognormal fragility (vulnerability) (FEMA (2003), HAZUS-MH Technical Manual); Exceedance-probability curve and average annual loss (Grossi and Kunreuther (2005), Catastrophe Modeling, Springer).
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
USGS ANSS Comprehensive Earthquake Catalog (ComCat)Global earthquake locations, magnitudes and ShakeMapsPublic domain, US government data
International Seismological Centre BulletinReviewed global earthquake parametersFree with citation, ISC terms (to check)
Global Earthquake Model (GEM) global hazard and risk mapsProbabilistic seismic hazard and risk mosaicsCC BY-NC-SA 4.0 for the public maps (to check)
Smithsonian Global Volcanism ProgramVolcano and eruption recordsFree with citation, terms to check
NASA Global Landslide CatalogRainfall-triggered landslide eventsOpen, NASA data policy
NOAA NCEI Global Historical Tsunami DatabaseTsunami events and run-up observationsPublic domain, US government data
Copernicus Sentinel-1 radar dataInputs for ground deformation and landslide monitoringFree and open, Copernicus terms
09Twin and cascade simulator

Model earthquakes and geohazards as a system. Run the cascade.

Assembled from the Nexus Standards area profile Climate risk standards: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.

Hazards

  • Sea-level rise
  • Coastal flood (set off downstream)
  • Storm surge (set off downstream)
  • High-tide flooding (set off downstream)
  • Coastal erosion (set off downstream)
  • Saltwater intrusion (set off downstream)
  • Estuary flood (set off downstream)
  • Coastal habitat squeeze (set off downstream)
  • Wetland loss (set off downstream)
  • Mangrove loss (set off downstream)
  • Groundwater flood (set off downstream)
  • Climate-driven migration and relocation (set off downstream)
  • Mass displacement (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-1 The UNI and the artefact catalogue (grammar v0.2: domain, sector, region and environment segments)
  • NS-3 Risk record UNIs (grammar, legacy crosswalk, allocation authority)
  • NS-3b Dataset and product metadata profile (STAC, DCAT, PROV-O)
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NS-14 Conformance and crosswalk to external standards
  • NRS-H65 Hazard family: Planetary boundary transgressions (NHS-1 planet.boundary)
  • NRS-H62 Hazard family: Compound and multi-hazard events (NHS-1 sys.compound)
  • NRS-H71 Hazard family: Deep-time and cosmic catastrophes (NHS-1 planet.deep-time)
  • NRS-H79 Hazard family: Mental health crises (NHS-1 health.mental)
  • NRS-H75 Hazard family: Climate-sensitive illness (NHS-1 health.climate-sensitive)
  • NRS-H7 Hazard family: Large-scale circulation anomalies (NHS-1 atmo.climate-mode)

Observation

  • ERA5 reanalysis (Copernicus Climate Data Store) (listed for reference)
  • CMIP6 climate projections (Copernicus Climate Data Store) (listed for reference)
  • NGFS Scenario Explorer (listed for reference)
  • INFORM Risk Index (listed for reference)
  • Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population
  • Total greenhouse gas emissions per year
  • Direct economic loss attributed to disasters in relation to global GDP

Example geography

  • Pacific Island states: 150 hexagonal cells
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
  • Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Vegetation disturbance alerts, 30 m (OPERA DIST-ALERT), NASA GIBS
10Decisions

Who decides, and what the evidence serves.

Climate and Hazards 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
Building code committeesWhich seismic design values apply in each zoneHazard models with exceedance probabilities and site effects
Geological surveys and volcano observatoriesWhich areas need monitoring, mapping or alert changesDeformation evidence; catalogues; susceptibility maps
Spatial planning authoritiesWhere to restrict building on unstable or liquefiable groundSusceptibility and site condition evidence
Tsunami warning centres and coastal authoritiesWhich coasts need evacuation routes and signsTsunami history and inundation scenarios

Outputs this topic produces

  • Hazard model comparisons for a region, with the source of each model stated
  • Event reconstructions combining seismic, intensity and satellite evidence
  • Secondary hazard notes on landslides, liquefaction and tsunami
  • Ground deformation analyses from radar time series
11Methods and evidence

How earthquakes and geohazards is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

Uncertainty bands

How far the outlook for earthquakes and geohazards could spread, shown as ranges rather than a single line.

Now+5+10+15+20+25+30 yhighlowvery likely rangelikely range
Central estimate
median of the ensemble
Ranges
likely and very likely, in IPCC calibrated language
Ensemble
members, scenarios and initial conditions stated
Read with
the sensitivity of the result to each input
Illustrative ensemble spread on an index scale; the form follows IPCC uncertainty guidance. Not a projection.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
12Core questions

What experts ask.

Geohazard questions are about where, how big and with what effects.

  • Which faults are active, and what magnitudes can they produce?
  • How strongly will the ground shake at a site, given local soils and geology?
  • Which volcanoes are restless, and what eruption styles and hazards are possible?
  • Where can landslides occur, and what triggers them?
  • How quickly can a tsunami reach a coastline after an offshore earthquake or landslide?
13Mechanisms

Mechanisms and drivers.

Earthquakes release strain accumulated as tectonic plates move. The energy radiates as seismic waves whose effect at the surface depends on distance, depth and local ground conditions; soft sediments can amplify shaking and saturated soils can liquefy. Large earthquakes are followed by aftershocks, and some trigger landslides and tsunamis.

Volcanic hazards include ash fall, pyroclastic flows, lava, gases and mudflows called lahars, which can travel far down valleys. Landslides occur when slopes fail under gravity, often triggered by heavy rain, earthquakes, snowmelt or human changes to slopes; their rainfall triggers link them to climate. Tsunamis travel across ocean basins at high speed, so warning time depends on distance from the source.

14Methods and data

How it is studied, and where the methods stop.

Method or dataWhat it showsLimits
Seismic networks and cataloguesWhere and how often earthquakes occurCatalogues are short relative to large-earthquake recurrence
Probabilistic seismic hazard analysisThe likelihood of exceeding given ground-shaking levelsDepends on fault models and ground-motion models with large uncertainty
Geodesy, including satellite radar and positioningGround deformation and strain accumulationShows strain, not when it will be released
Volcano monitoringSeismicity, gas and deformation signalling unrestUnrest does not always lead to eruption
Landslide susceptibility mappingWhere slopes are prone to failTiming remains hard to predict
16Where this page’s references

Where this page’s references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

17Questions

Questions and answers.

Can earthquakes be predicted?
Not in time, place and size with the reliability needed for warnings. Probabilistic hazard assessment estimates how likely given shaking is over a period, which is what building codes use.
What is probabilistic seismic hazard analysis?
A method that combines all possible earthquake sources, their rates and ground motion models to estimate the probability of exceeding a level of shaking at a site over a stated time.
What is the difference between magnitude and intensity?
Magnitude measures the energy released at the source. Intensity describes the shaking and its effects at a particular place, which vary with distance and ground.
Why do buildings fail in some places and not others during the same earthquake?
Because of differences in ground conditions, distance from the rupture, building design, construction quality and maintenance.
Does the platform set volcano alert levels?
No. Alert levels are set by competent geological and volcano observatories.
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