How Covéa Structures Weather Risk Analysis by Centralizing Data in MetX

Before Meteomatics

• Weather data scattered across multiple open-data tools
• Time lost switching platforms and cross-checking parameters
• Risk of missing critical signals due to disconnected analyses

With Meteomatics

• Streamlined analysis workflows with all weather data and models centralized in one interface (MetX)
• Faster, more structured decision-making enabled by deeper weather analysis
• Improved claims anticipation and quantification through more reliable insights

At the Covéa Group, MetX is used to monitor weather events in France and overseas territories and translate them into business impact.

Emmanuel Moreau, meteorologist and expert in natural risks at Covéa, and his team track storms, heavy rainfall, floods, cyclones, and other hazards that could affect their policyholders. They assess how an event will translate into claims, estimating damage potential, quantifying expected losses, and triggering internal alerts days in advance so teams can prepare for incoming claims.

With MetX, this entire process becomes significantly more efficient. Previously, analysts had to switch between several open-data websites where different datasets were isolated and presented differently. Now, everything sits on a single screen: multiple models, parameters, vertical profiles, and custom dashboards tailored to specific risk scenarios.

According to Emmanuel, when you rely on external open-data tools that don’t communicate with each other, you’re exposed to failures or simply overlooking something. That heterogeneity in parameters and outputs increases the risk of gaps in analysis.

He also highlights the value of layering parameters: being able to display multiple parameters that interact with each other is a genuine advantage. For a storm, for example, it's possible to overlay a 300 hPa jet stream with a low-level anomaly, a tropopause anomaly, and dry-air intrusions. For convective events, analysts can visualize deep wind shear interacting with a jet stream, CAPE, divergence, or helicity.

He adds:

MetX gives us a real gain in time and efficiency. With everything on one screen, we reduce the risk of missing critical signals and make our analysis much more reliable.

The time saved is reinvested into deeper analysis, especially during complex multi-hazard situations. Teams can refine forecasts, explore trends more thoroughly, and push their recommendations further.

The result: better anticipation, better preparation, and a smoother response when events hit.

MetX brings structure and clarity to daily operations. Building shared dashboards also makes it possible to align analysis methods across the team, guide colleagues on which parameters to examine, and ensure a consistent presentation of results, whether from live analysis or post-event observation. As Emmanuel puts it:

Shared dashboards are a real asset for team collaboration, particularly for less experienced colleagues.

But beyond process improvements, one thing stands out: the experience itself. Having all relevant data in one place changes how the work feels. Analysis becomes more intuitive, more fluid. Meteorologists can build their own views, compare scenarios, and fully explore the data without friction.

That leads to something operational teams rarely talk about but immediately recognize: more confidence, more control, and a real sense of serenity. When asked how MetX changed his work, Emanuel says:

What changed? The pleasure of analysis. MetX brings more enjoyment in exploring the data, more serenity in daily work, and more reliability in the results.