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Observation across industries
Water agencies, grid operators, ports, farms and civil protection ask different questions of the world, yet they answer them with the same shared building blocks: instruments, trusted time and place, links, edge computing and open data.
A stack of shared building blocks from the instruments at the bottom, through position, time, links, edge computing and open data, to the decisions each sector makes at the top.
Key points
- Most sectors observe with the same building blocks; what differs is the question, the deadline and the rules.
- Water and weather services set much of the practice others build on.
- Grids, ports and farms add their own instruments but share time, place, links and data standards.
- Disaster risk reduction asks for real-time, reliable data that crosses sector lines.
- Open standards let one observation serve many users without being copied and reshaped each time.
Different questions, the same building blocks
A hydrologist asks how high the river will be by morning. A grid operator asks whether a line is overheating, a harbour master whether a ship can berth safely, and a farmer whether a field needs water.
The questions differ, but the means of answering them are remarkably similar. Each needs instruments in the right place, a clock it can trust, a link to carry the data, some computing near the source and a way to share results.
These shared building blocks are why observing systems can be integrated at all. The global observing framework for weather, water and climate brings space-based and surface-based observations from many partners into one approach1.
Open data standards do the same for the data itself. An open, geospatial-enabled standard for connecting sensors, data and applications over the web lets one observation reach many users without being rebuilt for each2.
What changes from sector to sector is the question, the deadline and the rules. The rest of this piece walks through several sectors and shows where the blocks are shared and where each adds its own.
Sharing does not mean everyone gets everything. Some observations are public, some are shared only with partners, and some stay inside one operator, but all can use the same formats so they combine easily when access is granted.
Water and weather
Weather and water services have observed together for longer than most sectors, and much of today's practice comes from them: shared methods, comparable instruments and data exchanged across borders.
Guidance on instruments and methods of observation covers each variable these services measure, from precipitation and wind to soil moisture, snow, radar and observation from space3.
A river basin drawn to scale: water level gauges along the river, an automatic weather station, a lattice tower and an edge node.
The stakes are high. Early Warnings for All is an initiative to protect everyone on Earth from hazardous weather, water or climate events through early warning systems by the end of 20274.
Only half of the countries worldwide report having adequate multi-hazard early warning systems, which shows how much observing remains to be built4.
A river basin shows the building blocks at work. Gauges along the river, a weather station on the hills, a tower carrying the links and an edge node that checks every reading before it leaves.
Many other users read the same basin. A hydropower operator, a farm drawing irrigation water and a town planning its flood defences all depend on the gauges, even if none of them owns one.
Energy
Electricity grids are among the most instrumented systems people have built, and they are being asked to do more as generation becomes more distributed and weather becomes more extreme.
Modernised grids rely on advanced sensors known as phasor measurement units to assess stability, digital meters that report outages, relays that recover from faults and switches that re-route power around problems5.
A transmission corridor drawn to scale: pylons carrying a line across the terrain, a weather station beside it and, at the far end, a substation with an edge node.
Each of those devices is an observing instrument with a clock. Phase can only be compared across a region when every measurement carries trusted time, which is why timing is part of grid design.
Grids also depend on observations they do not own. Wind, temperature, ice and wildfire risk along a transmission corridor shape how much power a line can carry safely.
The same weather station, link and edge node that serve a water agency can serve a grid operator, with the sector adding its own instruments at the substation and along the line.
Grid operators also bring strict rules about security and access. Observations that touch the control of a grid must be protected and separated from public data, even when they come from shared instruments.
Transport by sea
Shipping shows how a sector builds its own framework on shared blocks. Maritime authorities define e-navigation as the harmonised collection, integration, exchange, presentation and analysis of marine information on board and ashore by electronic means6.
Its aim is to enhance berth-to-berth navigation and related services for safety and security at sea and the protection of the marine environment6.
A coastal port drawn to scale: the quay with cranes and a ship alongside, a lattice tower, a coastal radar, a met-ocean buoy offshore and an edge node beside the quay.
A port needs to know the water level, the wind, the waves and the traffic in its approaches. Each of those comes from instruments that other sectors also use: tide gauges, weather stations, buoys and radar.
What the port adds is its own rules and its own urgency. A crane must stop when the wind passes a limit, and a pilot needs the sea state before boarding, not after.
Aviation follows the same pattern with its own authorities and rules for weather at airports. Different regulators, the same need for trusted, timely observations close to the operation.
Ports also show the value of sharing. The same buoy that guides a pilot can feed a coastal flood warning, and the same radar that watches traffic can help find a vessel in distress.
Agriculture and food
Farms observe at two scales at once. A single field needs soil moisture, weather and crop condition, while a country needs to know how its harvest and its water are holding up across whole regions.
At the larger scale, satellites do much of the work. A publicly accessible, near real-time database uses satellite data to monitor agricultural water productivity at different scales7.
A farm drawn to scale: soil probes in the fields, a gateway on a mast, an automatic weather station and a small solar and battery microgrid.
Food security monitoring adds market and production information. A global information and early warning system on food and agriculture tracks food prices, production and country conditions8.
At the field scale, sensors in the soil, a weather station and a gateway on a mast feed decisions about irrigation and spraying. Their readings can also help check what satellites report from above.
The building blocks are the same again: instruments, place, time, links and open data. The difference is the season, which sets the rhythm of every decision on a farm.
Power and connectivity are often the hardest part in farming country. Sensors spread across large fields need long-range, low-power links and a gateway that can run for months on a small solar array.
Public safety and disaster risk
Disasters ignore sector boundaries. A storm floods a river, cuts power, closes a port and damages crops in the same night, and the people responding need observations from all of them at once.
The global framework for disaster risk reduction makes understanding disaster risk its first priority, and asks countries to promote real-time access to reliable data using space and in situ information9.
A systems diagram: instruments owned by a water agency, a grid operator, a port and a farm publish into a shared open record, which civil protection and each sector read. In the scenario one sector's link is lost and the others still reach civil protection.
One of its global targets is to substantially increase the availability of, and access to, multi-hazard early warning systems and disaster risk information by 20309.
That is only possible when observations are shared across owners. A water agency's gauge, a grid operator's weather station and a port's buoy all become part of one picture for civil protection.
Shared standards make the difference between data that can be combined in hours and data that must be negotiated for weeks. Agreeing on them before a crisis is part of preparing for one.
Trust matters as much as format. Responders need to know where each value came from, when it was measured and whether it was checked, so provenance and quality must travel with the data.
What changes from one sector to the next
If the building blocks are shared, the differences lie elsewhere. Each sector has its own deadline, its own tolerance for error, its own regulator and its own way of acting on what it learns.
Those differences should shape the design, not fragment it. One site can serve several sectors when its instruments, time, links and data meet the strictest of their needs.
A timeline from 2015 to 2030 with the adoption of the disaster risk reduction framework, the call for early warnings for all, the latest guide to observing instruments, and the target dates of 2027 and 2030.
Commitments made at the global level set the pace. The disaster risk framework was adopted in March 2015, and the call for early warnings for all came on World Meteorological Day 202294.
Nexus Observatory Inc. designs observing sites and data services from these shared building blocks, so that one observation can serve every sector that needs it.
Questions and answers
Can one observing site serve several industries?
Yes, when its instruments, time, links and data meet the strictest needs among its users and its data is published in open formats that each can read2.
Why does disaster risk reduction depend on shared observations?
Because disasters cross sector lines. The global framework asks for real-time access to reliable data, using space and in situ information9.
Which sector sets the standard for observing practice?
Weather and water services have the longest shared practice, with common guidance on instruments and methods of observation3.
Glossary
- Early warning system
- A system that observes hazards, forecasts their impact and warns people in time to act4.
- E-navigation
- The harmonised collection, integration, exchange, presentation and analysis of marine information on board and ashore by electronic means6.
- Phasor measurement unit
- A grid sensor that measures voltage and current phase with precise time, used to assess grid stability5.
References
- Standard or official statistic: WMO Integrated Global Observing System (WIGOS). World Meteorological Organization. community.wmo.int (accessed )
- Standard or official statistic: OGC SensorThings API. Open Geospatial Consortium. ogc.org (accessed )
- Standard or official statistic: Guide to Instruments and Methods of Observation (WMO-No. 8), 2024 edition. World Meteorological Organization. community.wmo.int (accessed )
- Standard or official statistic: Early Warnings for All. World Meteorological Organization. wmo.int (accessed )
- Government or regulator: Grid Modernization and the Smart Grid. U.S. Department of Energy, Office of Electricity. energy.gov (accessed )
- Peer-reviewed or intergovernmental: WaPOR, remote sensing for water productivity. Food and Agriculture Organization of the United Nations. fao.org (accessed )
- Peer-reviewed or intergovernmental: GIEWS: Global Information and Early Warning System on Food and Agriculture. Food and Agriculture Organization of the United Nations. fao.org (accessed )
- Peer-reviewed or intergovernmental: Sendai Framework for Disaster Risk Reduction 2015-2030. United Nations Office for Disaster Risk Reduction. . unisdr.org (accessed )
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