Forecasting science built for operational decisions
Machine learning models trained on ground-truth sensor data, calibrated for accuracy at the locations and time horizons that matter to your operations.
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How Xweather forecasts are different
Most weather forecasts are built for broad coverage, standard update cycles, and general-purpose parameters. They serve their purpose well, but they are not engineered for operational decisions where small accuracy improvements produce large differences in outcome. A 2°C forecast error might be irrelevant for a consumer app but could cost a district heating company thousands in wasted energy or an energy trader millions in mispositioned contracts.
Xweather takes a different approach. The forecasting engine combines global numerical weather prediction models with proprietary machine learning that trains on ground-truth observations from Vaisala sensors deployed at specific sites. The result is a forecast calibrated to the conditions of each location, updated on demand, and delivered with confidence limits that quantify uncertainty at every time step. For energy operations, this delivers up to 50% greater accuracy than traditional models. For trading, it means subseasonal outlooks reaching 30 days ahead, available before publicly released guidance.
The same science underpins severe weather forecasting. The global Xweather Lightning Network detects 99.9% of thunderstorms worldwide, feeding data into forecast models that provide up to 60 minutes of lead time for lightning and hail. Across every application, the common foundation is ground-truth data: starting with what is actually measured at a location and using that to train models that improve continuously as more data arrives.
Popular industry forecasts
Get dedicated forecast models trained on local sensor data for each deployed location. Calibrated predictions paired with confidence limits for energy, infrastructure, and operational decision-making.
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Energy, commodity, and agricultural traders can get global forecasts and 30-day outlooks ahead of publicly released model guidance, in formats built for trading workflows.
Site-specific forecasts for energy operations
District heating, dynamic line rating, and building energy management depend on accurate short-term temperature and wind forecasts at specific locations. Xweather Optimize delivers dedicated machine learning models trained on local sensor data, with managed service covering everything from installation to ongoing maintenance.
average improvement in forecast accuracy at deployed sites
subseasonal forecast horizon for trading applications
lightning events detected annually
route-specific road weather forecast horizon
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Ground-truth data is the foundation of every forecast
Xweather's forecasting advantage starts at the sensor. Vaisala-manufactured instruments, built on the same sensor technology deployed on the Mars Perseverance rover, provide the quality-controlled observations that train and validate the machine learning models for every operator.
Actionable weather insights to power your business operations
Real-time conditions, 15-day outlooks, and probabilistic models
Global forecasts, 30-day probabilistic subseasonal outlooks, and real-time observations in trading-ready formats.
Specialized forecasts arrive ahead of publicly available data, giving traders the timing edge that market positions demand.
Seven dedicated applications cover specific trading workflows.
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72-hour route-specific surface forecasts
Serving 400+ road agencies and airports, Xweather fuses data from Vaisala RWS200 stations, GroundCast wireless sensors, and MD30 mobile detectors to produce 72-hour route-specific surface forecasts.
Winter operations teams at DoTs and municipalities generate targeted treatment plans and work orders within the platform based on local conditions and their own operational policies.
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50% average improvement in forecast accuracy
Wireless Vaisala sensors at customer sites and trained dedicated machine learning forecast models for each location.
A managed service covers sensor deployment, maintenance, and data quality, delivering calibrated forecasts with confidence limits.
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See what Xweather forecasting delivers
From site-specific accuracy to subseasonal market intelligence, our forecasting products serve the decisions you make every day.