EURO1k More Powerful Than Ever: 15-minute Native Temporal Resolution and a 72-Hour Lead Time

Higher temporal resolution means greater detail and better insights for industries where accurate and timely weather data is critical.

EURO1k users now have access to even more detailed and reliable weather data.

We increased the model’s native temporal resolution from 20 to 15 minutes and extended its lead time from 48 to 72 hours, all while maintaining its unique 1 km spatial resolution.

DWD’s ICON-D2 Weather Model Available in the Weather API and MetX

We’ve added the ICON-D2 weather model from Germany’s national weather service, DWD (Deutscher Wetterdienst), to the Weather API and MetX,further expanding our high-precision model offering.

• Geographical Coverage: Germany, Switzerland, Austria, and parts of neighboring countries

• Spatial Resolution: 2.1 km

• Model Updates: Every 3 hours

• Forecast Lead Time: 48 hours

Automatic downscaling to 90 meters is applied in post-processing, with optional calibration available to further improve accuracy.

Get Reliable Energy Forecasts for the Electric Reliability Council of Texas (ERCOT) Independent System Operator (ISO)

Meteomatics’ forecasts enable energy companies to accurately predict when, where, and how much energy will be produced from renewable energy sources. We provide power forecasts based on our accurate weather data to 80% of the leading electricity companies in Europe.

Now, we’re expanding into the American market, starting with ERCOT — the ISO for the Texas Interconnection. ERCOT oversees the electric power flow for approximately 90% of Texas’ electric load.

Plan Effectively, Reduce Costs, Optimize Trading

We combine weather data from several numerical weather models and live data from power plants using Machine Learning to accurately forecast the energy production from all the wind and solar parks within the ERCOT region.

You receive accurate energy forecasts with downscaling and nowcasting capabilities at resolutions as fine as 15 minutes to plan effectively, reduce costs and optimize your trading strategies.

Save Time and Effort With New Default Isoline Values

Before, you had to manually set an explicit value or a range (min/max/step) value to display isolines on MetX.

Now, default values are automatically applied, so you don’t have to enter them yourself.

Just add a new layer, choose “isolines” as the mode, pick your parameter, and click “Apply.” The isolines will appear on the map instantly.

Covered parameters include: mean sea level pressure, temperature, geopotential height, precipitation, wind speed, dew point, equivalent potential temperature, relative and absolute humidity, CAPE, CIN, and heights (cloud base, convective cloud top, ceiling height, thunderstorm height).

Enhanced Precipitation Visualization with the New Default Colormap — Coming on January 27th

Starting on January 27th, we will introduce a new default colormap for precipitation, called “precip_segmented.” 

Users relying on the default colormap will benefit from an extended precipitation range (e.g., the range for 5-minute intervals has been increased from 0–6 mm to 0–20 mm) and a more nuanced color scheme.

This upgrade enhances accuracy and clarity in precipitation data visualization, especially for light and heavy rain, enabling users to better interpret weather patterns, monitor thunderstorms and track large-scale precipitation events.

If you prefer to continue using the previous colormap, please update your queries to explicitly select the previous style by adding "style=radar_log" to your query. For example:

https://api.meteomatics.com/now/precip_5min:mm/europe:0.1,0.1/png?style=radar_log

For assistance, please reach out to your dedicated Customer Success Manager.

New Time Navigation on MetX

We’ve enhanced the time navigation bar on MetX, so you have more flexibility to visualize your dashboards across different time periods.

Configure Automatic Refreshes with Custom Time Intervals

With the new “update interval” feature, you can set automatic refreshes at intervals of 1 minute, 5 minutes, 15 minutes, 20 minutes, or 1 hour. If you prefer a static view, the “no update” option is also available.

Once configured, MetX will automatically refresh to display the latest weather data based on your chosen interval.

This is a valuable feature for real-time monitoring in critical operational settings, such as control rooms, where decision-makers rely on up-to-date weather data across industries like aviation, energy, and emergency services.

Effortless Navigation with Pre-Defined Time Steps

Move seamlessly through time by clicking on the pre-defined time steps on the lower bar. Jump back or forward from -1 day to +1 day with ease.

Simplified Dashboard Title Formatting

You can now use the bar at the top-right corner to update your title. Click on “New title” (default) to open the formatting bar, where you can:

• Style your title in bold, italic, or underline.
• Adjust the font color and size to match your preferences.

Enhanced Data Thresholds for Areas and Lines of Interest

We have upgraded the threshold system for areas and lines of interest defined in GeoJSON files.

Imagine you’re managing a wind farm, and your GeoJSON file defines the wind farm area. You want to analyze wind speed data to optimize energy production and monitor risks to the infrastructure.

Before, the system would use the maximum wind speed at any point within the wind farm to determine the visualization's color. 

For example, if wind speeds across the farm range from 5 m/s to 20 m/s, the map would display the farm’s color based on 20 m/s, even though the higher speed might only occur in a small section.

Now, you can choose from different aggregation methods to better match your operational needs:

• Maximum: Use the highest wind speed (e.g., 20 m/s). Use case example: Highlighting potential risks from extreme gusts that could damage turbines or infrastructure.

• Minimum: Use the lowest wind speed (e.g., 5 m/s). Use case example: Identifying areas where wind speed might fall below the turbine's operational threshold.

• Mean: Use the average wind speed across the wind farm (e.g., 12.5 m/s). Use case example: Assessing overall energy production potential across the entire area.

• Median: Use the middle value in the range (e.g., 12 m/s). Use case example: Providing a representative wind speed that reduces the impact of outliers.

• Mode: Use the most common wind speed across the area (e.g., 10 m/s). Use case example: Analyzing the typical operating conditions for turbines to optimize maintenance schedules.