GCRI · Oceans and Coasts

Oceans and Coasts

Oceans, coastal ecosystems and built shoreline resilience at the junction of science and development. Oceans and Coasts is an established platform of The Global Centre for Risk and Innovation.

STEM methods
7
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
7
Platforms in shared fields across the network
Report series
2
Reports series it contributes to
01Coverage

The areas of oceans and coasts this platform takes on.

Oceans and Coasts studies the sea and the shore as one system: rising seas and coastal floods, marine ecosystems, fisheries and the people who depend on them, ports and maritime infrastructure, ocean observation, the blue economy, small islands and marine pollution. Its pages set out the observations, models and standards behind ocean and coastal evidence, with every value labelled by its evidence and every limit stated. It prepares evidence; coastal, fisheries and maritime authorities and communities decide.

Area

Sea level and coastal flood

Rising mean sea level, storm surge, waves and the coastal floods they cause, now and under projections.

Area

Marine ecosystems

Coral reefs, mangroves, seagrass, kelp and open-ocean life under warming, acidification and deoxygenation.

Area

Fisheries and livelihoods

Wild fisheries and aquaculture, the stocks they depend on and the communities who fish.

Area

Ports and maritime infrastructure

Ports, coastal roads, defences and shipping exposed to sea-level rise and storms.

Area

Ocean observation

Floats, buoys, tide gauges, ships and satellites that measure the ocean and share the data.

Area

Blue economy

Economic activity that depends on the ocean, from shipping and tourism to offshore energy.

Area

Island resilience

Small island states and communities facing sea-level rise, cyclones and dependence on imports.

Area

Marine pollution

Plastics, nutrients, oil and chemicals entering the sea from land, ships and rivers.

02Monitor

Coastal adaptation pathways.

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

Coastal adaptation pathways

Coastal zone A · Sea level scenario set

Tipping point in 27 yearsGCRI · Oceans and Coasts

Flood extent by scenario

illustrative coastline

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

Relative sea level

Adaptation pathways

Dune nourishment0.41Raise seawallOvertopping twice in 5 yr
Raise seawall0.89Managed realignmentSeawall at design limit
Managed realignment1.015Relocate assetsCommunity decision
Coastal adaptation pathways: the screen’s structure, terms and states for Coastal zone A.Example names and illustrative values; a design, not a record or a live system.
04Simulator

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. The map on this page shows Pacific Island states; the model itself is not tied to a place.

Controls

Typical annual peak gust (location)
24.0 m/s peak gust
Spread of extremes (scale)
7.00 m/s peak gust
Intensity at which half the value is lost
62.0 m/s peak gust
Dispersion of vulnerability
0.22
Share of value in the hazard footprint
40%
Protection standard (return period)
50 years

Readouts

Average annual loss
0.30% of value
Loss at 1 in 100 years
13.1% of value
Loss at 1 in 250 years
20.7% of value
Intensity at 1 in 100 years
56.20 m/s peak gust
Numbers, methods and sources
Return period (years)Intensity (m/s peak gust)Loss (% of value)
116.080.00
226.330.00
431.960.00
736.870.00
1341.500.00
2446.000.00
4450.440.00
8254.8511.55
15459.2316.71
28763.6121.85
53667.9826.49
1,00072.3530.34

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).
05Overview

What Oceans and Coasts does.

Ocean and coastal risk is the potential for harm to people, ecosystems and economies from ocean change and coastal hazards. Oceans and Coasts covers sea-level rise and coastal floods, marine ecosystems, fisheries and livelihoods, ports, ocean observation, the blue economy, small islands and marine pollution. Coastal, fisheries and maritime authorities and communities decide.

Who it serves

Its community

Marine scientists; coastal planners; fisheries experts; port specialists.

How it works

Its methods

Marine observations; coastal inundation; fisheries and habitat evidence.

What it produces

Its outputs

Coastal risk atlas methods; marine dependency briefs; research cases.

06Twin and cascade simulator

Model Oceans and Coasts as a system. Run the cascade.

Assembled from the Nexus Standards area profile Oceans and coasts 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
  • Storm surge
  • Coastal erosion
  • Heatwave
  • Ocean acidification
  • Harmful algal bloom
  • Extreme fire weather (set off downstream)
  • Wildfire (set off downstream)
  • Heat-driven grid stress (set off downstream)
  • Agricultural drought (set off downstream)
  • Flash drought (set off downstream)
  • Snow drought (set off downstream)
  • Ground-level ozone episode (set off downstream)
  • Meteorological drought (set off downstream)
  • River flood (set off downstream)
  • Coastal flood (set off downstream)
  • Estuary flood (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-5 Figure, map and visualisation standard (with the UI/UX kit)
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NRS-X3 Oceans and coasts risk
  • NRS-H11 Hazard family: Coastal and sea-level hazards (NHS-1 water.coastal)
  • NRS-H79 Hazard family: Mental health crises (NHS-1 health.mental)
  • NRS-H12 Hazard family: Ocean-state extremes (NHS-1 water.ocean-state)
  • NRS-H67 Hazard family: Ocean circulation and marine tipping (NHS-1 planet.ocean-tipping)
  • NRS-K18 Domain pack profile: Oceans coastal (DOMAIN-018)

Observation

  • Copernicus Marine Service ocean products (listed for reference)
  • Coral Reef Watch daily 5 km heat stress products (listed for reference)
  • PSMSL tide gauge mean sea level records (listed for reference)
  • GEBCO global bathymetric grid (listed for reference)
  • Argo float profiles (listed for reference)
  • Average marine acidity (pH) measured at agreed suite of representative sampling stations
  • Index of coastal eutrophication and floating plastic debris density
  • Direct economic loss attributed to disasters in relation to GDP, including damage to critical infrastructure

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
  • Surface air temperature, daytime (AIRS), NASA GIBS
07Mandate and boundaries

What Oceans and Coasts studies, and who governs the sea.

Oceans and Coasts, studies the sea and the shore as one system: sea level and coastal floods, marine ecosystems, fisheries, ports and ocean observation. Coastal, fisheries and maritime authorities and communities decide; the platform prepares evidence and takes no position on maritime boundaries.

Sea-level and flood layers shown here are illustrations unless marked as released, and a boundary on a map implies no position on any maritime claim.

08Risk and response

Coupled risk, applied response.

The sectors coastal storm surge touches and how strongly they depend on each other: what a study has to observe and model together.

Choose a context

ACoupled risk across six sectors10 / 15 relations

Sectors · Coastal storm surgeStress

Illustrative: a teaching cascade over teaching values, not measurements.
BApplied response across six pillars12 / 18 handoffs

Pillars · Coastal storm surgeKPI

Illustrative applications; the values are published benchmarks, cited in the readout.

In this contextDependence or handoff, heavier is strongerOutside this context

Context

Coastal storm surge

Mangroves and dunes absorb the surge; where they are gone, ports, substations and water intakes take it.

W · E · I · F · H · B

Risk

Sectors
5 of 6
Relations
10 of 15
Coupling
0.64 share of total

Hover a corner, a line or a row to trace it across both sides.

Route

Applied to coastal storm surge

L · F · U · S · R · A

Response

Pillars
5 of 6
Handoffs
12 of 18
Loops
8 closed

Expected value

What is at stake
$390Ba year at least, in infrastructure disruption costs to households and firms in low- and middle-income countriesWorld Bank, Lifelines, 2019
Return on resilience
4 : 1benefit to costWorld Bank, Lifelines, 2019
Avoided loss
$80Bflood losses avoided a yearGlobal Commission on Adaptation, Adapt Now, 2019

Hover a pillar, a line or a row to read how it is applied.

A: a teaching cascade (shock 0.6, gain 0.35, four rounds) over teaching values for a typical city-region, not measurements. B: illustrative applications and the KPI each pillar answers for; values are published benchmarks, cited, not forecasts. Open events: NASA EONET, live.

10Methods and evidence

How Oceans and Coasts 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.

Earth observation chain

How a satellite or sensor record becomes evidence on Oceans and Coasts, and where each step adds uncertainty.

  1. 01 · Acquireorbit, sensor and revisitUncertainty: gaps from cloud and orbit
  2. 02 · Calibrateradiometric and geometricUncertainty: sensor drift
  3. 03 · Correctatmosphere and terrainUncertainty: aerosol and slope assumptions
  4. 04 · Retrieve or classifythe variable or the classUncertainty: model and training error
  5. 05 · Validateagainst ground truthUncertainty: sample design and size
  6. 06 · Publishwith error bars and lineageUncertainty: stated, never hidden
Processing chain in the CEOS Analysis Ready Data sense; each step records its uncertainty before a figure is drawn. A generic structure, not results.

Uncertainty bands

How far the outlook for Oceans and Coasts 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
11Reports, standards and contributions

Where ocean evidence goes.

Coastal and ocean analyses are designed for the Regional Systems series. Ocean observations would keep their GOOS and data-centre provenance under the proposed Nexus Standards.

  • Ocean observers can share data through OBIS and GOOS channels.
  • Fishing communities can share local knowledge with consent.
  • Port authorities can share disruption records.
12Geography

Ocean state in Pacific Island states.

Marine heat, chlorophyll and sea temperature over Pacific Island states, from NASA GIBS. Each layer carries its own date.

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

Layers 3

Ocean state, for this page

About this layer
Evidence
Observed
Source
GHRSST MUR25 (NASA JPL PO.DAAC)
Provider
NASA JPL PO.DAAC
Licence
NASA open data
Vintage
daily; Satellite analysis
Newest at build
2026-10-12
Resolution
about 2 km grid
Uncertainty
Satellite analysis of how far sea temperature departs from its usual value for the date shown; a marine heat indicator, not a coral bleaching alert.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds and sun glint leave gaps)
Source
MODIS Aqua ocean colour (NASA OB.DAAC)
Provider
NASA OB.DAAC
Licence
NASA open data
Vintage
daily; Satellite retrieval; clouds and sun glint leave gaps
Newest at build
2026-10-13
Resolution
about 1 km grid
Uncertainty
Satellite estimate of chlorophyll-a near the sea surface on the day shown, an indicator of plankton and ocean productivity; not a measure of fish stocks or harmful blooms.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
GHRSST MUR (NASA JPL PO.DAAC)
Provider
NASA JPL PO.DAAC
Licence
NASA open data
Vintage
daily; Satellite analysis
Newest at build
2026-10-12
Resolution
about 1 km grid
Uncertainty
Gap-filled satellite analysis of sea surface temperature for the date shown; not a reef or species condition report.
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.

Ocean state, framed on Pacific Island states.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 · NASA PACE OCI · 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
  • 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 hexagonal cells where shown (modified). NASA open data
  • MODIS Aqua ocean colour, NASA Ocean Biology Processing Group; distributed by the NASA Ocean Biology DAAC (OB.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.
  • Observed (EO): NASA PACE OCI. 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).
  • 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).
  • 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 (10 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

  • Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026
  • Ocean chlorophyll-a concentration: MODIS Aqua ocean colour, NASA OB.DAAC · 12 Oct 2026
  • Sea surface temperature: GHRSST MUR, NASA JPL PO.DAAC · 12 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

13The problem

Why coastal risk cascades.

The ocean absorbs most of the excess heat trapped by greenhouse gases and a large share of the carbon dioxide emitted by human activity. Two consequences reach the coast directly. Sea level rises as water warms and expands and as glaciers and ice sheets lose mass, and the ocean becomes warmer, more acidic and, in many regions, lower in oxygen. Sea-level rise is not uniform: ocean circulation, gravitational effects of ice loss and vertical land motion, including subsidence in many deltas and coastal cities, make local change differ from the global mean.

Coastal hazards compound. A storm surge on a higher baseline floods further inland; heavy rainfall cannot drain when the sea is high; saltwater intrudes into aquifers and farmland. Natural defences such as mangroves, salt marshes, seagrass meadows and coral reefs reduce wave energy, but they are themselves under stress from heat, sediment starvation and development. When they degrade, exposure rises at the same time as fisheries decline.

The consequences travel inland and overseas. Ports handle most of world trade by volume, and a closure ripples through supply chains, fuel supply and food imports. Small island states depend on a few harbours, airports and power stations, all on the coast. Fishing communities lose income when stocks shift with warming water. Coastal risk is therefore a systems problem, and no single discipline can describe it alone.

14What the platform does

Interdisciplinary marine evidence, for those who plan and decide.

The platform brings marine observation, coastal inundation science and fisheries and habitat evidence together under shared methods, so that a planner, a port engineer and a fisheries scientist can work from the same picture with its uncertainty stated.

Methods

Coastal risk atlas methods

Open methods for mapping exposure to sea level, surge and erosion, designed to be reused and checked.

Briefs

Marine dependency briefs

Evidence on how ports, fisheries, energy and settlements depend on coastal and marine systems.

Cases

Research cases

Documented studies of places and events, with sources, methods and limits.

GCRI is a research, development and policy institution. It does not regulate, certify, license or approve, and its findings carry their methods and uncertainty. Coastal decisions remain with competent authorities and communities.

15Foundation and counterparts

Grounded in STEM, connected across three institutions.

The platform stewards ocean and coastal science in the STEM Commons and applies Earth observation and remote sensing, extreme value theory and tail risk, ecology and biodiversity science, geospatial information systems, Earth and geophysical science and water and environmental engineering. It sits in three fields, oceans and coasts, climate and hazards and biodiversity and nature.

The same questions are governed and financed elsewhere in the Consortium. The Global Risks Forum (GRF) convenes ocean and land governance through Climate and Nature Governance. The Global Risks Alliance (GRA) builds shared industry understanding of coastal loss through Reinsurance and Catastrophe and Climate and Nature Financial Risk. Within GCRI, the platform works closely with Biodiversity Nexus and Climate and Hazards. Foundry systems EOP, EWS and The Global Risks Index (NXS-GRX) are named on its Foundry page, and the Universe theme coastal flood and port continuity tests the evidence in an exercise setting.

16Grounding

Built on named science, technology, engineering and mathematics.

Every claim on Oceans and Coasts rests on methods with a canonical page in the STEM Commons, so readers can see what a finding depends on and where its limits lie.

Ocean and coastal scienceEarth observation and remote sensingExtreme value theory and tail riskEcology and biodiversity scienceGeospatial information systemsEarth and geophysical scienceWater and environmental engineering

See the STEM foundation of Oceans and Coasts

17Cycle

How work moves in this field.

A question becomes evidence, a governed build, an organised community, a controlled test, a reviewed publication and, finally, a decision taken by the competent authority under its own rules.

  1. Question Universe National, regional or institutional priority. Question in Oceans and Coasts
  2. Evidence Foundry STEM foundation of the platform. Evidence in Oceans and Coasts
  3. Build Foundry Foundry. Build in Oceans and Coasts
  4. Organise Universe Nexus ecosystem. Organise in Oceans and Coasts
  5. Test Universe Universe (independent site). Test in Oceans and Coasts
  6. Publish Reports Reports. Publish in Oceans and Coasts
  7. Decide Competent authority Competent authorities and institutions, through NXS-RLS (participants, agreements and handoffs). Decide in Oceans and Coasts
  8. Renew Universe Corrections and the next annual agenda. Renew in Oceans and Coasts

Each step of the cycle in the pillar it runs in; the decision stays with the competent authority, outside the programme.

18Six pillars

How this works across the six pillars.

Oceans and Coasts works through six pillars of one annual programme, led by the Nexus Consortium, with GCRI, GRF and GRA each contributing in its role: explore, experiment and prototype in Labs, build, simulate and prepare in Foundry, convene and test in Universe, codify, correct and apply in Nexus Standards, publish in every format in Reports, teach in the open in Risk Academy.

Select pillars · hover lines18 / 18 handoffs

Route

The whole programme

Every pillar hands its work to another; together they close the year’s feedback loops.

L · F · U · S · R · A

Pillars
6 of 6
Handoffs
18 of 18
Loops
17 closed

Handoffs in play

  • F01Universe → Foundry · Admitted mission becomes a cycle project with a decision caseReadiness preparation
  • F02Foundry → Universe · Core Build Report and go or no-go evidenceControlled build
  • F03Foundry → Reports · Sealed observations and indicator series behind a profileCloseout
  • F04Universe → Reports · After-action and scenario findings for chapters 10 and 13After-action review

and 14 more

F01 to F14 are the recorded handoffs of the programme year, each with the artefact that moves and its phase; R1, R2, R3 and R4 carry work around the ring. A loop counts when every pillar on it is selected. Every pillar is led by the Nexus Consortium.
  1. LabsWhere questions become experiments and prototypes: new methods, data and tools are tried in the open, with their limits on record, before the Foundry builds them, under the Nexus Consortium.Labs
  2. FoundryWhere methods, data and models become reproducible builds, each run with its inputs, version and limits on record.Oceans and Coasts in FoundryFoundry
  3. UniverseWhere a build is tested under controlled conditions with independent evaluators, so a method’s skill is measured, not assumed.Oceans and Coasts in Universeuniverse.nexus
  4. Nexus StandardsWhere methods, identifiers and data schemas are codified in the open and corrected when a test finds a fault.Climate and Earth Systems in Standardsnexustandards.com
  5. ReportsWhere findings are published with their method, uncertainty and evidence class, and corrected as new versions.Oceans and Coasts in ReportsReports
  6. Risk AcademyWhere methods and systems are taught on real data and real places, by working the case, on Risk Academy.Faculty of Earth and Environmental Sciences in Academyrisksacademy.com
19Frameworks

What the work is read against.

The platform does not set standards. It reads its evidence against the frameworks that competent bodies have adopted, so a finding can be placed where a decision-maker already works.

Framework or standardBodyWhat it sets
United Nations Convention on the Law of the SeaUnited NationsThe legal framework for maritime zones, navigation, resources and protection of the marine environment
Agreement on Marine Biological Diversity of Areas beyond National JurisdictionUnited Nations, under UNCLOSRules for marine genetic resources, area-based management, impact assessment and capacity in the high seas
IPCC Special Report on the Ocean and Cryosphere in a Changing ClimateIntergovernmental Panel on Climate ChangeAssessed science on sea-level rise, ocean warming, acidification and coastal risk
Kunming-Montreal Global Biodiversity FrameworkConvention on Biological DiversityGlobal targets including protection and restoration of marine and coastal areas
Global Ocean Observing System Essential Ocean VariablesGOOS, led by IOC-UNESCOThe variables and requirements for sustained ocean observation
Code of Conduct for Responsible Fisheries and the Port State Measures AgreementFood and Agriculture Organization of the United NationsPrinciples for sustainable fisheries and port controls against illegal fishing
MARPOL ConventionInternational Maritime OrganizationRules to prevent pollution from ships by oil, chemicals, sewage, garbage and air emissions
Agreement on Fisheries SubsidiesWorld Trade OrganizationDisciplines on subsidies to illegal fishing, overfished stocks and unregulated high seas
Sustainable Development Goal 14United NationsTargets and indicators for conserving and sustainably using the oceans, seas and marine resources
23Questions

Questions and answers.

Who publishes Oceans and Coasts?
The Global Centre for Risk and Innovation (GCRI) publishes Oceans and Coasts and is responsible for what it publishes. GCRI is a research, development and policy institution. It is not a regulator, and it does not certify, license or approve; its findings carry their methods and uncertainty.
Is Oceans and Coasts active?
Oceans and Coasts is an established platform of The Global Centre for Risk and Innovation. Information and enquiries are open today. 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.
How can I contribute?
Start with the participation paths or write to the contact form. An enquiry receives a reference; it does not create membership, a role or an assignment.
Where are findings published?
Reviewed outputs appear on the publications page, and contributions to the Reports series are listed on Publish in Reports.
Which values on this platform are real?
Indicator names, units, sources, methods and frameworks are real. Levels in figures and canvases are examples in a design. A programme replaces them with labelled evidence it owns.
How do I report an error?
Use corrections and concerns, or write to the integrity concern form. A correction is recorded as a new version, never a silent edit.
Is the platform operating?
It is an established platform. Information and enquiries are open today, and no atlas, brief or case is published until it has passed review.
Does the platform issue coastal flood warnings?
No. Authority warnings come from national meteorological, hydrological and civil protection authorities. The platform studies hazards and methods; it does not issue warnings or advice to the public in an emergency.
ReportsContribute

Contribute evidence from this page.

Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

GCRIOceans and CoastsGlobal Sector Risk and ResilienceObservatory Signal
How it works

How Oceans and Coasts works.

Choose a view and press Play to follow the platform’s process, its programme year, the standards it applies and how its findings are published. The outline shows how the work is designed to run, not the status of any decision.

Oceans and Coasts

How Oceans and Coasts works

Platforms · Programme year · Standards · Reports

A platform joins a field to named methods, labelled evidence and the outputs it publishes, without becoming the authority it serves.

  1. 01 Scope

    1. 01Field and familiesStart · The platform leadThe home states the field, its families and who it serves.
    2. 02Topic dossiersRecord · Platform authorsTopics explain the subject with labelled evidence.
  2. 02 Evidence

    1. 03Evidence labelsRecord · GCRIEach value is labelled: observed, published statistics, estimated, modelled, scenario or unknown.
    2. 04MethodsStep · Method ownersMethods come from the STEM Commons, each with one canonical page.
  3. 03 Work

    1. 05Scenarios on the systemsModel · Foundry pillarScenarios run on the Nexus systems, labelled as scenario.
    2. 06Standards that applyRecord · Nexus StandardsThe platform names the standards that apply. A validator report is evidence for review.
  4. 04 Publish

    1. 07EditionsRecord · ReportsFindings are published through Reports with their limits.
    2. 08Authority decidesOutcome · The competent authorityDecisions and execution stay with the government, operator or licensed institution.

Oceans and Coasts home · Platforms · Shared methodsAn outline of how the work is designed to run; it does not report the status of any decision or record.

Take part

Take part in Oceans and Coasts.

Start from who you are. Answer an open call. Or form and lead a competence cell on the Oceans and Coasts platform.

Route

National institutions

Ministries, statistics offices and agencies: a national desk and chapter, and a seat in the working groups. National chapters

Route

Sectors and professions

Operators, regulators, banks, insurers and professional bodies whose work touches Oceans and Coasts. Participate

Route

Learning

Courses and practice, with a record of every course completed. Free to study. Open learning

Route

Standards

Draft, review and adopt the methods and data standards with the working groups. Working groups

Route

Communities and research

Universities, civil society and individual experts: projects, data and review. Write to the team

The Global Risks Index

Every figure on this page is indexed: environment, climate, hazards, Pacific Island states.

The Index is the Consortium’s indexing system for risk data. Every indicator, hazard, series and country profile carries its Nexus Standards identifier, its source and its licence, so what this page shows can be traced, corrected and reused.

  1. 01 · Sources205 registered sourcesEvery value keeps its source and licence; withheld values are counted.Data and licences
  2. 02 · Nexus StandardsNIS-1 and NHS-1451 indicators, 905 hazards; every record carries a UNI.Nexus Standards
  3. 03 · The Index54 series, 195 country profilesComputed on the standards; no value is published until an edition is released.The Global Risks Index
  4. 04 · This pageOceans and CoastsMaps, figures and feeds read the Index in the context of environment, climate, hazards and Pacific Island states.Public API
Sources205registered, each with its licence
Indicators451NIS-1, 106 composites, 20 domain indices
Hazards905NHS-1, crosswalked to UNDRR-ISC HIPs
Series54global, sector, strategic, technology, thematic
Country profiles195one site per country

Series in this context environment, climate, hazards

  1. GSGlobal ClimateChronic and acute physical climate hazard, transition exposure, adaptation gaps and scenario pathways to 2030, 2050 and 2100.NXS-GRX-AR-000065Climate · Hazards · Environment
  2. GLBGlobal SystemsThe state of interdependent global risk: the twenty domain indices aggregated to the world, the five core systems (water, energy, food, health, biodiversity) and their couplings, the global tail register and the gap…NXS-GRX-AR-000002Hazards · Climate · Environment
  3. GSGlobal WaterAccess, scarcity, quality, floods and droughts, groundwater depletion, transboundary dependency and the couplings of water to energy, food, health and nature.NXS-GRX-AR-000059Hazards · Climate · Environment
  4. GSGlobal Earth observationWhat Earth observation can and cannot see of risk: coverage, revisit, latency and the observing systems NXS-GRX depends on.NXS-GRX-AR-000070Hazards · Climate · Environment

All 54 series · The 20 domain indices

Country profiles Pacific Island states

Every country profile carries the source and licence of each value. Correct a value or reply

Hazard domains NHS-1

Geodata and API open

Open layers on an equal-area hexagon grid, shown as densities per km² or as symbols: People · GHSL 2025People · WorldPop 2025Built-up areaPortsAirportsRoadsRailwaysRivers and lake centrelines

/api/v1/public/grix · https://nexustandards.com/uni/{uni}
Developers · Data · Made with Natural Earth, Public domain; GHSL and WorldPop, CC BY 4.0

Snapshot of the Index registries pinned 2026-10-23 · 22c6eed. Research and risk-analytics information: not a rating, an official classification, a warning, a benchmark or advice.

Oceans and Coasts

Bring a method, a dataset or a question.

Information and enquiries are open today. 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.

The Global Centre for Risk and Innovation

Science · evidence · measurement

Not for profit

Our articles, maps and twins are free to read and free to republish. Readers and partners keep it that way.

Partner with us

Who funds us

GCRI is a not-for-profit institution. To ask who funds a piece of work, use the funding questions form.

Independence

Editors and the expert reviewers named on each article decide what we publish. Funders and partners do not review or approve articles before publication.

Licence

Articles: CC BY 4.0. Figures, maps, twins and data: CC BY 4.0. Other uses: ask through the permissions form.