Energy Plots on MetX
Compare forecast scenarios quickly and act on the differences
The Energy Plots in MetX have been fully redesigned. They’re now faster to load, more responsive, and significantly more powerful for multi-model analysis.
The update is particularly relevant for energy traders, grid operators, and analysts who need to compare forecast scenarios quickly and act on the differences.
Compare Several Models
You can now switch between wind and solar power forecasts across multiple models side by side, using a quick model switcher directly in the interface. US ERCOT subregions are also now available, expanding coverage for North American energy operations.
Compare Several Model Runs
For each model, you can now select any specific model run — including historical ones — and compare them freely. The previous constraint of 1-hour deltas is gone: you choose the intervals that matter to your workflow. You can also look back up to 48 hours, giving you a clearer picture of how forecasts have evolved and where uncertainty lies.
Lightning Visualization on MetX
Improve risk assessment and infrastructure monitoring
You now have more flexibility to choose how to visualize lightning layers, enabling more precise event discrimination for asset risk assessment, infrastructure monitoring, and impact-driven analytics.
All enhancements are fully integrated into the existing lightning layer configuration and can be adjusted dynamically within the Layer Stack.
Extended Rendering Options
Lightning layers can now be visualized using three rendering modes, so you can adapt the display to your analytical needs:
Icon mode — with zoom-dependent +/- icons for granular event inspection
Heatmap rendering — for a quick read of activity density across large areas
Cluster aggregation — ideal for managing high data volumes at lower zoom levels
Lightning Type Filtering
You can now filter lightning data explicitly by discharge type — Cloud-to-Cloud (CC), Cloud-to-Ground (CG), or all types. This is especially useful where CG strikes are the primary concern, such as for outdoor infrastructure, aviation ground operations, or utility asset protection.
Isobands in the API and on MetX
Instantly see where operational limits are exceeded
We already supported isolines, which mark where a parameter holds a single value. Isobands take this further: instead of lines, you now see filled areas showing where a parameter exceeds a specific threshold or falls within a defined range.
This makes it immediately visible where, for example, turbulence risk exceeds an operational limit, or where temperatures drop below a critical threshold — no interpretation needed.
Isobands are fully customizable: any parameter, any threshold, either as a specific value or a range. The result is a polygon view of the areas that matter, directly supporting planning and decision-making in sectors like aviation, energy, agriculture, and logistics.
Meteomatics MCP Connector
Faster answers, fewer steps, better decisions
The Meteomatics MCP (Model Context Protocol) connects your AI agents and platforms directly to Meteomatics weather data — no custom API wrappers, no extra infrastructure, no learning curve.
Once integrated, you can simply ask for what you need. Whether you're optimizing solar array dispatch, routing logistics around weather, or building climate tools, the MCP translates complex weather data into instant, actionable answers inside your existing AI workflow.
