Hyperlocal forecasting
Pair your sensor observations with a dedicated machine learning model to generate a hyperlocal, calibrated forecast with confidence limits for each site.
Secure access to 30+ weather, environmental, and solar parameters from Vaisala sensors, quality-controlled and delivered via API and dashboard.
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Observations displayed in map, graph, and list views. Every measurement passes automated quality control before it reaches your systems. A 3-day weather forecast is included in the map view.
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A streaming WebSocket API delivers new measurements as they arrive. A REST API serves historical data for integration into business intelligence, SCADA, and operational systems. Both APIs use standard formats and are included in the subscription.
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Data you can trust
Automated quality control checks every observation before it enters operational workflows.
Access from anywhere
Real-time and historical data accessible through a web dashboard and API from any location.
One platform for devices and data
View observations, control user access, manage settings, and monitor sensor health in a single environment.
Alerts with action guidelines
Configurable alerts for any parameter with user-defined response instructions attached, so recipients know exactly what to do when conditions change.
Certified to industry standards for information security, quality management, and data handling.
Standard for quality management systems
Compliant in secure data management
Standard for security governance
Connect Vaisala sensors and weather stations to the Xweather Observe service. Secure cloud connection with minimal setup.
Observations are ingested and quality-controlled automatically. Range, cross-parameter, step, and persistence checks run on every measurement.
Access data through the web dashboard or integrate via streaming and REST APIs. Map, graph, and list views are available from any device.
Configure threshold alerts, user access, and notification routing. Attach action guidelines so recipients know exactly how to respond.
Xweather Observe supports operations that depend on local weather, air quality, or solar conditions.
Vaisala weather stations deliver site-specific temperature, wind, precipitation, and pressure data for facility management, safety protocols, and event-based decisions. Automated QC checks incoming data before it reaches dispatch, planning, or control systems.
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Operators of photovoltaic installations monitor irradiance, panel temperature, soiling, and tracker alignment. Real-time and historical data supports performance ratio calculations, soiling loss quantification, and reconciliation between expected and actual generation.
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Gas and particulate matter sensors measure pollutant concentrations in real time. Xweather Observe calculates European and U.S. Air Quality indices automatically. Threshold alerts trigger when concentrations approach regulatory or operational limits, supporting compliance reporting and community notification.
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Three parameter families across weather, environmental, and solar measurements. Contact us to request the datasheet.
Air temperature
Relative humidity
Dew point
Air pressure
Wind speed (mean, min, max)
Wind direction
Wind gust direction
Rain accumulation and intensity
Precipitation accumulation and intensity
Carbon monoxide (CO)
Carbon dioxide (CO₂)
Nitrogen oxide (NO)
Nitrogen dioxide (NO₂)
Ozone (O₃)
PM10
PM2.5
PM1
European Air Quality Index (EEA)
U.S. Air Quality Index (AQI)
Global horizontal irradiance (GHI)
Reflected global horizontal irradiance (RHI)
Diffuse horizontal irradiance (DHI/DIF)
Horizontal albedo
Plane of array (POA), rear-side POA
Photovoltaic reference radiation
Panel temperature
Soiling ratio
Transmission loss
Tilt angles in the x and y axes
Book a demo to see how Xweather Observe connects Vaisala sensors to quality-controlled data, threshold alerts, and API integration.
Xweather Observe supports a range of Vaisala WXT and AQT sensors and selected pyranometers from leading manufacturers. Contact us to request the full list of supported devices.
Pair your sensor observations with a dedicated machine learning model to generate a hyperlocal, calibrated forecast with confidence limits for each site.
Set up lightning, hail, wind, and gust alerts for your sites with no additional hardware. All-clear notifications reduce unnecessary downtime.