Solutions

GRAFS (GRidded Atmospheric Forecast System)

LOGICast™ software system

Sample image of the surface air temperature generated by GRAFS at 21 UTC on April 8, 2009.
Sample image of the surface air temperature generated by GRAFS at 21 UTC on April 8, 2009.

GRAFS (GRidded Atmospheric Forecast System) is a software system that is designed to address the difficult problem of producing high quality weather forecasts at locations where observations are not available. Accurate forecasts at remote locations are used to drive many user–specific applications such as road temperature forecasts along an entire roadway, or soil temperature forecasts for agriculture.

GRAFS combines numerical weather prediction (NWP) model forecasts, statistically refined point forecasts, and climatology to interpolate forecast data to a high resolution grid. Applications using GRAFS typically use 4–km grid cell resolution. Higher resolution grids may be appropriate in regions of rapidly changing topography.

To generate these forecasts, GRAFS starts with model data from a NWP model(s) and then downscales those data onto the target grid using a sophisticated climatological difference interpolation scheme. Finally, this downscaled forecast is corrected to match a statistically optimized forecast generated at a set of observation points.

Sample image of the surface air temperature generated by GRAFS at 21 UTC on April 8, 2009 zoomed in over Colorado. The impact of the complex  terrain is highlighted.
Sample image of the surface air temperature generated by GRAFS at 21 UTC on April 8, 2009 zoomed in over Colorado. The impact of the complex terrain is highlighted.

GRAFS technology is ideality suited for downstream systems and users that require precision location–based forecasts. GRAFS is a licensed technology of the UCAR Foundation.

Gridded Forecasting

This funding from New York Power Authority is their cost share for the DOE Solar Power Forecasting project. Deliverables are the same as for the DOE project.

We are using these funds to stand up a gridded forecasting system for CONUS.  Since it is connected to DOE Solar, the first forecasts will be for solar irradiance.

The Goal is to start a new OpenSource gridded forecasting system that could be used for a multitude of clients in the future

This product has a project page. See more details here.