High-performance WebGL rendering
Wind fields, clouds, rain and waves rendered on the GPU directly in the browser — smooth even with grids of millions of points.
Weather Visualization · WebGL & Dashboards
Turn weather data
Turn weather data
into confident decisions.
Meteorender turns gigabytes of raw weather data into fast, continuously updated dashboards and fluid WebGL maps — responding in seconds and running on your own infrastructure — so energy, aviation, maritime, disaster-response and media teams can see clearly and act faster.
COMMON DATA SOURCES
NOAA GFSECMWFEUMETNETDWDKNMIJMAAWC (Aviation Weather Center)IoT stationsWeather radarSatelliteNOAA GFSECMWFEUMETNETDWDKNMIJMAAWC (Aviation Weather Center)IoT stationsWeather radarSatellite
01 — Mission
There is no shortage of weather data.
There is no shortage of weather data.
What's missing is a way to see it fast enough to act.
Numerical models, radar, satellites and weather stations produce terabytes of data every day. But when gusts are about to cross a safety limit or a heavy downpour is on its way, operators have minutes, not hours. Meteorender's mission is to turn weather data into instant, intuitive visuals using the most modern tools available — WebGL and real-time dashboards — so every decision is made faster and with more confidence.
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Fast
GPU rendering right in the browser. Millions of data points displayed smoothly, with no waiting.
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Clear
Every role sees exactly what it needs: maps, thresholds and trends — not dense tables of numbers.
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Data-neutral
We don't sell data. Meteorender works with the data you already have, open data, or any source you choose.
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Your data stays with you
Deployed on your own servers. You keep full control over data, security and access.
02 — Solutions
The layer between weather data and decision-makers.
You own the data and the infrastructure — Meteorender takes care of the rest: turning gigabytes of raw data into core insight, then into maps, dashboards and alerts that respond in seconds and update continuously.
Dashboards built around operations
Combine maps, time-series charts, KPIs and alert thresholds. Every team gets a screen with exactly what it needs.
From gigabytes of raw data to dashboards in seconds
Meteorender automatically ingests, decodes, cleans and harmonises gigabytes of data — GRIB2, NetCDF, radar, satellite, SCADA, IoT — and keeps dashboards updated as each new run arrives. No in-house data team required.
Threshold-based alerts
Set thresholds that match your operations — gusts, visibility, waves, heavy rain — and see them highlighted on the map the moment data crosses them.
Embed & integrate
Bring weather map layers and widgets into your existing portals, operations systems or internal applications.
Runs on your infrastructure
Installed on your on-premise servers or a private cloud of your choice. Data is processed and stored inside your own systems.
03 — Platform
Experience the Meteorender console.
An interactive demo running live in your browser with sample data. Switch layers, drag the timeline and watch indicators update instantly — this is how your data will look.
Wind speed (m/s)
0102030+
TROPICAL LOW · 994 hPa
* Sample data
Now+12h+24h+36h+48h+60h+72h
GBOf raw data per update, turned into dashboards automatically
SecondsResponse time when you explore, filter and query
24/7Continuous updates as each data source publishes
0Smooth GPU rendering, right in the browser
04 — Industries
Built for industries where weather is mission-critical.
We focus on seven sectors where every minute of delay has a cost. Each comes with its own dashboard templates and recommended data sources.
TYPICAL DATA SOURCES
05 — Deployment model
You keep the data and the infrastructure. We handle the rest.
From raw data to the decision screen, Meteorender takes care of processing and visualization. You are never locked into a single data provider, and your data never has to leave your systems.
The data is yours — we help you choose the right source
Meteorender does not sell meteorological data. You own data from one of three sources, and we handle the processing:
- Your own dataWeather stations, SCADA, IoT sensors, forecasts you already purchase.
- Open dataPublic sources such as NOAA GFS, ECMWF Open Data, Copernicus ERA5 and METAR/TAF.
- Commercial data partnersWhen you need higher resolution or update frequency than open data provides, we advise on and introduce providers suited to your industry. You contract with them directly.
Runs on your own servers
Customers provide the server infrastructure — on-premise or in a private cloud. Meteorender installs, configures and hands over the platform on that environment.
- All data processing and storage runs inside your systems
- You control security, access rights and running costs
- Suited to enterprise and public-sector compliance needs
- Detailed sizing is provided after the discovery session
01Raw dataGRIB2, NetCDF, radar, SCADA, IoT
02Automated ingestionFollowing each source's release schedule
03Cleaning & harmonisationDecoding, QC, aligning grids & time
04Operational indicatorsThresholds, trends, core insight
05DecisionsMaps, dashboards, alerts
ItemCustomerMeteorender
Weather & operational dataProvides (own, open or partner data)Advises & introduces sources
Server infrastructureProvides & ownsAdvises on sizing
Visualization & dashboard software—Provides
Ingesting & processing raw data into insightGrants accessDelivers
Installation & configurationCollaboratesDelivers
Training & operational support—Delivers
06 — Process
From the data you have to decisions in four steps.
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01
Discovery
Clarify which decisions need to be made, who the users are, and which risk thresholds matter to your operations.
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02
Choose data sources
Review the data you already have, complement it with open data, or introduce commercial providers where needed.
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03
Deploy & process
Install on your servers, set up automated raw-data pipelines and build role-based dashboards.
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04
Operate & decide
Train your team, configure alerts and refine the interface based on real-world feedback.
Does Meteorender provide weather data?
No. Meteorender is a processing and visualization platform; we don't sell meteorological data. The platform works with the data you already own, open data, or data from a provider you choose — so you're never dependent on a single source.
What if we don't have any data yet?
For many use cases, open data such as NOAA GFS, ECMWF Open Data or Copernicus ERA5 is enough to get started. When you need higher resolution, faster updates or more specialised data, we advise on and introduce suitable commercial providers — you work and contract with them directly.
What infrastructure do we need?
You'll need on-premise servers or resources in your organisation's private cloud. Exact sizing depends on data volume and number of users; we provide a detailed recommendation after the discovery session.
Does our data leave our systems?
Meteorender is installed on your infrastructure, so data is processed and stored inside your own systems. You keep full control over security and access.
Do we need our own data engineering team?
No. The data is yours; turning raw data into core insight is our job: automated ingestion on each source's release schedule, decoding, cleaning, harmonisation and computing operational indicators. You only need to grant access to your data sources.
What if the forecast data is wrong?
Meteorender commits to displaying exactly what your data sources provide — completely and on time — flagging missing or delayed data immediately, and always showing the source and update time. The accuracy of the forecast itself is guaranteed by the data provider under your contract with them. We can also build a forecast-vs-observed dashboard so you can judge which source performs best.
Can it integrate with our existing systems?
Yes. Meteorender maps and widgets can be embedded in portals, operations centres or internal applications, and operational data (SCADA, IoT, databases) can be connected and displayed alongside weather data.
How long does deployment take?
It depends on the number of data sources, dashboards and integrations. After the discovery session we send a roadmap with concrete milestones; you can start with a small-scale pilot.
08 — Contact
Ready to see weather differently?
Book a 30-minute demo. We'll show you what weather data for your area of operations looks like in Meteorender.
- A demo tailored to your industry and region
- Data-source advice: existing, open or partner data
- Infrastructure assessment and deployment options
- Flexible pilot packages