Weather monitoring
The World Meteorological Organization’s (WMO) latest State of the Global Climate report carries a message that ought to shake policymakers out of complacency.
Only around half of the world’s countries have functioning multi-hazard early warning systems (EWS).
In an era of record-breaking heatwaves, floods, and cyclones, that figure is not a statistical footnote.
It’s a fault line running through global resilience.
The science of monitoring hazards has advanced at astonishing speed; the ability to translate that science into life-saving action remains alarmingly uneven.
At their simplest, early warning systems are about three steps: monitor hazards, forecast impacts, and get actionable alerts to the people who need them, in time for them to act.
In reality, they are sprawling socio-technical systems that demand dense monitoring network and strong institutional coordination.
In many high-income regions, those pieces have been assembled.
Across Europe, North America, East Asia, and Australasia, meteorological and hydrological services provide mature, multi-hazard warning frameworks.
Japan and South Korea can draw on satellite feeds, high-resolution radar, river gauge networks, and AI-driven modelling, with mobile alerts cascading into communities within minutes.
The EU’s Copernicus programme integrates atmospheric, ocean, and land monitoring into a continental-scale early warning backbone.
Elsewhere, however, the map looks very different.
In much of Africa, small island developing states, and fragile parts of South Asia, the gaps are stark.
Some countries rely on single-hazard alerts - say, cyclone tracking without flood forecasting - the while others lack the institutional reach to get warnings beyond capital cities.
Remote farming communities and informal settlements are often left out entirely.
The WMO warns that these gaps now translate directly into avoidable deaths.
The consequences of uneven warning infrastructure are already visible.
When Cyclone Chido barrelled into Mozambique, Mayotte, and Malawi in December 2024, the technical capacity to track the storm was there.
But in Mozambique alone, 100,000 people were displaced, many receiving no effective warning before floodwaters arrived.
The same dynamic played out during the 2024 Sahel floods.
Seasonal forecasts predicted unusually heavy rain, and some urban centres received flood alerts.
Yet in rural Niger and Chad, communities reliant on river farming were caught off guard, suffering crop losses and displacement that could have been mitigated by timely alerts.
By contrast, when Canada and Chile endured catastrophic wildfires in the same year, a robust early warning system allowed authorities to evacuate thousands ahead of advancing flames.
The events were deadly, but casualties were lower than in comparable fires a decade ago.
The variable wasn’t the hazard. It was the warning infrastructure.
It would be easy to assume the deficit is technological. But the tools already exist.
Satellite constellations scan the globe continuously.
Doppler radar networks track storm cells in real time.
Fibre-linked hydrological gauges measure river rise by the centimetre.
Machine learning models are now capable of producing probabilistic flood maps or heatwave forecasts days in advance.
The real bottleneck lies elsewhere: in underfunded national meteorological and hydrological services, in weak institutional coordination, and in the last-mile challenge of reaching communities.
Even when monitoring networks generate precise forecasts, the data is too often siloed between agencies or lost in translation before it becomes an accessible, trusted alert.
For many governments, investments in early warning lag behind the scale of climate risk.
The WMO stresses that upgrading these services is now “more important than ever”, yet funding remains patchy and reactive.
The result is a paradox: we may have some of the most advanced monitoring technology in history, but millions remain unwarned.
The United Nations has set a bold target: “early warnings for all” by 2027.
But the WMO’s assessment is blunt.
With just half of countries adequately covered, the gap is too wide to close with instruments alone.
It will demand a transformation in governance and cross-border cooperation.
For the environmental monitoring sector, this challenge doubles as an opportunity.
Governments scrambling to meet the UN’s target will need to expand their monitoring infrastructure, from flood gauges and air quality sensors to satellite-linked buoys and mobile-based alert platforms.
Private-sector providers of data services and predictive analytics tools are poised to become indispensable partners.
The WMO’s warning is also a challenge to the monitoring community itself.
Measurement without communication is no longer sufficient.
The value of instrumentation will increasingly be judged not by technical precision alone, but by its integration into systems that deliver timely, actionable warnings.
That will mean tighter partnerships between monitoring agencies, disaster risk authorities, telecom operators, and even grassroots organisations.
It will also mean designing instruments and data systems with accessibility in mind, because a warning that doesn’t reach the vulnerable is no warning at all.
As WMO Secretary-General Celeste Saulo put it starkly: “Only half of all countries worldwide have adequate multi-hazard early warning systems. This must change.”
IET 36.2 Mar/Apr 2026
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