Europe sees disasters coming. Can it act in time?

Europe is increasingly adept at observing and predicting extreme weather events, but converting this data into actions that mitigate harm remains a significant challenge. When a forest fire ignites, heavy rains threaten a town, or strong winds endanger power lines, emergency responders must understand where dangers lie, how conditions may evolve, and where resources are most needed.

With climate change exacerbating risks such as wildfires, floods, droughts, and extreme heat, climate intelligence is becoming crucial for Europe's ability to adapt.

In summer 2026, half of the EU experienced some level of drought. By October, wildfires had scorched more than 690,000 hectares of land, an area nearly twice the 20-year average. These statistics underscore the scale of Europe's climate risks and the growing need to prepare for their impacts. The challenge now is not just to accumulate more climate data, but to make sense of the data already available and transform it into useful intelligence before there is still time to act.

Operational decisions hinge on the volume of climate data from satellite imagery and meteorological forecasting, which has never been greater. However, raw data alone cannot guide emergency responses. Geographic information systems (GIS) convert these datasets into actionable maps, allowing emergency personnel to track extreme weather and identify areas at risk of wildfires, flooding, and storms.

GIS can overlay weather information with details about terrain, infrastructure, and emergency resources to provide responders with a clearer picture of the situation. Artificial intelligence embedded in these systems can analyze massive, real-time datasets to uncover patterns and insights that might otherwise go unnoticed. Simulations enable teams to explore how incidents might develop over time, helping emergency services anticipate changing conditions and prioritize their response.

The goal is not to predict every eventuality, but to equip field teams with better information on where danger is greatest and where to act first.

Preventative decisions also rely on data technologies. AI systems can analyze patterns across satellite imagery, terrain, vegetation, and climate changes to help authorities identify emerging risks. Scenario modeling allows experts to explore how fires and floods might unfold under various conditions, before they actually occur.

While these tools cannot eliminate uncertainty or replace human judgment, they can help professionals recognize vulnerable areas, compare possible scenarios, and prioritize preventive action, especially when resources are limited. From forecasting potential floodwater flows to pinpointing vegetation that could fuel a wildfire, climate intelligence can help authorities spot vulnerabilities early enough to take preventive measures.

Financial decisions are increasingly informed by climate intelligence as well. Insurers, banks, and energy companies all benefit from understanding how extreme weather could impact their assets, infrastructure, and financial positions. Scenario modeling helps these organizations explore the potential outcomes of different weather scenarios, allowing them to identify vulnerabilities and make more informed decisions before losses occur.

Better information enables these entities to make quicker, more informed decisions and strengthen their resilience against a wide range of climate risks.

Ultimately, the value of climate intelligence lies not in the amount of data collected, but in how effectively it is turned into practical decisions that reduce losses and save lives. While technology cannot predict every disaster or eliminate uncertainty, it is already helping both public and private organizations understand risk earlier, make faster, more informed decisions, and enhance their resilience to climate risks.