Get one trusted set of weather data for every site.
MetHub brings the measurements and health data from your MetSeries weather stations into one secure platform. It checks data quality automatically and logs every action, giving every stakeholder a reference dataset they can agree on.
The challenge
Collecting weather data is only half the challenge.
Weather data is often scattered across multiple systems, making it difficult to monitor measurement quality across sites and campaigns. Sensor and data quality issues can go undetected, while validation is often left until the end, when problems are harder to resolve. From greenfield resource assessment to operational performance monitoring, reliable decisions depend on continuous data quality assurance and a single, trusted dataset.
A trusted source of truth for meteorological data.
One platform for every site
Access weather station data for a whole project or portfolio in one place.
Catch issues early
Identify system health issues in time to fix them before they affect your measurement campaign.
Stay on track
Continuous monitoring of measurement trends and data quality avoids end-of-campaign surprises.
One agreed dataset
A single, auditable, quality-controlled dataset for resource assessments, performance analysis and reporting, with full traceability of data sources, validation and processing.
Everything you need to trust your weather data.
Key features
Related products
Technical specifications
Data inputs
Outputs
Integrations
Update frequency and latency
Access and asset types
Deployment, security and support
FAQs
MetHub is accessed through NEXO and needs MetSeries weather stations on site to send the data.
MetHub is most relevant to solar sites.
Yes, MetHub is a stand-alone NEXO module.
No, MetHub only integrates with MetSeries weather stations.
MetHub has standard quality checks for data that is:
- Missing
- Out of range
- Stuck for consecutive samples
- Suddenly changing
MetHub also uses advanced analytics to check for irradiance measurements affected by:
- Soiling
- Dew or frost
- Shading
When data fails a quality check, it is automatically flagged and linked to the specific rule that identified the issue. Authorised collaborators can then review, validate and approve the flags through a transparent workflow to create a trusted, quality-controlled dataset.
Yes. MetHub can notify nominated users by SMS or email when data quality issues are detected, helping teams identify and investigate potential problems as early as possible. Alerts can be configured to control who receives notifications and under what conditions, ensuring the right stakeholders are informed at the right time.
All data quality flags are fully traceable within MetHub. Users can review what data was excluded, why it was flagged, and any review or approval decisions associated with it. The resulting quality-controlled dataset is accompanied by standardised reports detailing data sources, quality-control checks, data cleaning activities, and any processing or aggregation applied, providing complete transparency for stakeholders.
Export data in CSV or Excel (XLSX) format for use in tools such as Excel, PVsyst and other analytics platforms.
Ready to optimise your portfolio?
Let’s discuss how we can help you to unlock the potential of every asset.