Sensor Point's Virtual Sensor PointTM accuracy in forecasting comes from:
- Combining the best available forecast input data with on-site or nearby sensor observations
- Focusing the data to a very small (~1km) point on the ground, and
- Minimizing the latency (age) of the forecast.
Fresher is better - When delivered to the customer, Sensor PointTM system forecasts are based on data and processes that are only 15 to 30 minutes old. If a proprietary, on-site sensor is employed, the forecasts can be only a few minutes old. The National Weather Service and nearly all competitor models provide updates only every six hours.
Localized Ground Observations Sensor PointTM takes the best available forecast data and uses on-site sensor readings to both ground and focus this trend information. Sophisticated 3D physical modeling techniques are used to combine and translate sensor readings that are not on the exact site into 'virtual' on-site readings and to localize the forecast data into a 1km footprint on the ground, anywhere in the world. We are the only forecasting service designed to accommodate private on-site sensors. This enables both maximum precision and a higher forecast frequency.
Precise historical weather data produced by
Sensor PointTM is a direct application of our precision forecasting process using
stored re-analyzed forecast data and
stored hourly certified sensor reading data.
Sensor Point's pre-positioned
Virtual Sensor StationsTM can therefore provide the best possible virtual historical sensor readings
anywhere in the world as well as accurately summarize climate data for site research and selection.
