Weather is dynamic and global - a very complex result of radiation, fluid atmospheric conditions and surface interactions. Weather data to support modeling, monitoring, planning, managing, or controlling a building, site or situation must be precise, consistent and focused on your site this is the purpose of the Virtual Sensor Points^TM produced by the Sensor Point^TM System.

Sensor Point^TM Focusing Technology

The Sensor Point system contains a one-dimensional NWP (Numerical Weather Prediction)  column model  that has been coupled with a three-dimensional NWP model and is built on the full-physics land-surface model (NOAH-LSM) resulting from ongoing research and development by NOAA's National Centers for Environmental Prediction (NCEP), Oregon State University, the US Air Force Research Lab, and the Hydrologic Research Lab (OHD-NWS).  Site-specific column model forecasts can be updated much more frequently and provide a higher sampling rate than the NOAA models making column models particularly well suited for supporting specific sites and proprietary sensor networks.
By further augmenting the Sensor Point system input with on-site or nearby sensor observations, site-specific column model forecasts can be precisely calibrated for individual sites as small as one square kilometer sq km. They can also adapt to changes in local surface conditions. Verification analyses have shown Sensor Point system data to be more accurate than both NOAA and competitor models (see Compare).

What makes it so accurate?

An Example - The Sensor Point^TM system is an extension of the modeling techniques used at the San Francisco Airport to predict exactly when the marine fog layer would clear from the runways. More

Compare Accuracy - The hourly forecasts produced by Sensor Point^TM have been measured to be far more accurate than the National Weather Service or competitors models for any given site. More