G-P07 · TOPIC · ocean-observationGCRI dossier · service level R0
GCRIOceans and CoastsIn development
Topic dossier · Oceans and Coasts

Ocean observation

The ocean is measured by a global system of profiling floats, moored buoys, tide gauges, research and commercial ships, gliders and satellites. These observations underpin forecasts, climate monitoring, fisheries and coastal planning, but coverage is uneven and depends on sustained funding and data sharing. This page sets out how ocean observation is organized, where gaps lie, and what evidence serves those who fund and use it.

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

Layers 4

Ocean state, 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 ocean observation, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, marine heat, sea temperature and chlorophyll with relief in 3D and a wave forecast chart at the centre, framed on Pacific Island states; 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
  • 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
  • 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 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
  • 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.
  • 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

  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026
  • Sea surface temperature: GHRSST MUR, NASA JPL PO.DAAC · 12 Oct 2026
  • Ocean chlorophyll-a concentration: MODIS Aqua ocean colour, NASA OB.DAAC · 12 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026

01In brief

The short answer.

Ocean observing systems are the networks of floats, moorings, tide gauges, ships, gliders and satellites that measure the ocean, coordinated globally through the Global Ocean Observing System. They underpin forecasts and climate monitoring, but coverage is uneven, continuity depends on funding, and value depends on open data sharing.

02Console

Fisheries and marine watch, in outline.

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

Fisheries and marine watch

Ocean observation · Fishing grounds 3 · Season 1

  • Biomass vs reference point
    0.8ratioWatch
  • Marine heatwave days
    14this yearAlert
  • Fleet effort
    95index
Marine heatwaveGCRI · Oceans and Coasts

Sea surface temperature anomaly

Stock status

Small pelagic0.71.5Sustainable
Reef fish0.91.3Overfished
Tuna-like1.00.9Sustainable
Fisheries and marine watch: the screen's structure, terms and states for Ocean observation.Placeholder names and illustrative values; a design, not a record or a live system.
03The question

Ocean observation: how the risk develops.

Marine sensing and data limitations. 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

Many platforms, one system

Floats profile temperature and salinity in the upper ocean, moorings watch fixed points, satellites map the surface, and ships measure what others cannot. Together they form the Global Ocean Observing System.

Mechanism

Coverage is uneven

The deep ocean, polar seas, coastal zones and waters of many developing countries are poorly observed. Biogeochemical and biological variables lag physical ones.

Mechanism

Continuity depends on funding

Much observation is funded through research grants. When funding ends, records break, and the value of long series is lost.

Mechanism

Data must flow openly

Observations are useful only when shared quickly in standard formats. Free and open data exchange underpins forecasting and climate assessment.

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
Argo floatAn autonomous instrument that drifts and profiles the upper ocean, reporting data by satellite.
Essential ocean variableA variable identified by GOOS as most needed to observe and understand the ocean.
MooringAn instrument platform anchored to the seafloor that records conditions at a fixed point.
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
Operational Argo floatscountmonthlyArgo programme statusOBSERVED
Essential ocean variables with sustained observationcount by variable readiness levelper assessmentGOOS assessmentsOFFICIAL
Tide gauges reporting in near real timecountannualGLOSS and national networksOBSERVED
Coastal waters observed by in situ systemspercent of national coastline with monitoringper assessmentNational observing system recordsREPORTED
Data latencyhours from measurement to availabilityper platformData system recordsOBSERVED
Ocean science capacityresearchers and research vessels per countryper assessmentIOC Global Ocean Science ReportREPORTED
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 · Ocean observation as a run graphDesign, not a record
Ocean observation: coastal flood risk and adaptation pathwaysSea level scenarios combined with storm surge and tide give extreme water levels by return period; a flood model maps exposure and damage; adaptation pathways sequence measures with signals for switching before tipping points. 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
Argo programme dataGlobal temperature, salinity and biogeochemical profilesFree and open, Argo data policy
OceanOPS (WMO and IOC)Status of ocean observing platforms worldwidePublic, OceanOPS terms
IOC Global Ocean Science ReportNational ocean science capacity and investmentPublic, UNESCO terms (CC BY-SA 3.0 IGO for many)
GLOSS tide gauge networkCore network of tide gauges for sea levelFree, terms per data centre
World Ocean Database (NOAA NCEI)Quality-controlled archive of ocean profile dataPublic domain, US government data
08Decisions

Who decides, and what the evidence serves.

Oceans and Coasts 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 oceanographic and meteorological agenciesWhich observations to sustain or addGap maps; readiness reviews
Research fundersHow to fund long-term observation beyond project cyclesContinuity and gap evidence
Regional organizationsHow to share observing capacity across countriesCapacity and data flow evidence

Outputs this topic produces

  • Observation gap maps for national waters and regions
  • Readiness reviews of essential ocean variables
  • Data flow reviews from platform to user
  • Evidence notes for ocean observing investment
09Core questions

The questions experts ask.

  • What is measured, where, how often and with what accuracy?
  • Where are the gaps, by region, depth and variable, and how do they bias analysis?
  • How are records from different instruments joined into consistent long series?
  • Who owns and maintains observing systems, and how secure is their funding?
  • How quickly does data reach those who need it during an event?
10Mechanisms

The observing system and its gaps.

The global ocean observing system combines satellite missions for sea-surface height, temperature, colour, winds and sea ice with in-situ networks: autonomous profiling floats, moored buoys, drifters, tide gauges, research and volunteer ships, and gliders. Coastal observing adds high-frequency radar, nearshore buoys and water-quality sensors. Together they feed forecasts, climate records and hazard warnings.

Coverage is uneven. The deep ocean, polar seas, coastal zones of many lower-income countries and biological and biogeochemical variables are under-observed. Satellites see the surface, not the interior, and struggle close to the coast. Long records exist at few locations, which limits trend and extreme-value analysis. Many networks depend on research funding renewed over short cycles, so continuity is itself a risk.

Observation also has a human dimension. Fishers, coastal communities and citizen scientists record changes in species, water quality and shoreline position that formal networks miss, and such records, gathered with consent and quality control, can fill gaps at the scales where decisions are made.

11Methods and data

Methods and their limits.

Satellites

Remote sensing

Altimetry, radiometry and ocean colour give global coverage of the surface, with reduced accuracy near coasts and under cloud.

In situ

Floats, buoys and gauges

Direct measurements of temperature, salinity, currents and sea level at points and profiles.

Synthesis

Reanalysis and assimilation

Models combine observations into gridded fields; where data are sparse, results lean on the model.

Limits: changes of instrument and method can create artificial shifts in records, and gridded products may look complete where few observations exist. Analysis should state which observations underlie a result.

13Questions

Questions and answers.

What is Argo?
An international programme of thousands of autonomous floats that drift and profile the upper ocean, measuring temperature, salinity and, increasingly, biogeochemical variables.
What are essential ocean variables?
Variables identified by the Global Ocean Observing System as most needed to understand and forecast the ocean, such as temperature, sea level, oxygen and plankton.
Why does open ocean data matter?
Because forecasts, climate assessments and fisheries management need data from many countries quickly, which only works when data are shared freely in common formats.
Does the platform operate sensors?
No. It uses data from existing observing systems under their licences and studies how gaps affect risk analysis.
Why are coastal zones poorly observed by satellites?
Land contamination of the signal, complex tides and fine spatial scales reduce accuracy close to the shore.
How are gaps represented in results?
Results state which observations they rest on and where model or statistical infilling was used.
Oceans and Coasts

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