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ABI Improvements

The GOES-R series ABI has have sixteen spectral bands, compared to five on the current GOES Imager, providing three times more spectral information, four times the spatial resolution, and more than five times faster temporal coverage than the current system.

Three Times More Spectral Information

GLM Sensor See Thru Diagram

Four Times Greater Spatial Resolution

GLM Sensor See Thru Diagram

Five Times Faster Coverage

GLM Sensor See Thru Diagram

GOES-R Product Examples

Simulated GOES-R products are generated using combinations of currently available GOES and other satellite data as well as model synthetic satellite data applied to GOES-R product algorithms.

GOES-R Fog Detection Product

The GOES-R fog detection product will significantly improve geostationary satellite fog monitoring capabilities due to the greatly improved spectral information, spatial resolution, and temporal resolution of the Advanced Baseline Product. The GOES-R fog detection product will also provide quantitative information on fog probability, while heritage GOES fog detection products are more qualitative in nature.

Heritage GOES Fog Detection | GOES-R Algorithm Applied to GOES | GOES-R Algorithm Applied to GOES-R

GLM Sensor See Thru Diagram

GOES-R Atmospheric Motion Vectors

GLM Sensor See Thru Diagram
The GOES-R ABI will provide automated hurricane intensity estimates for tropical cyclone analysts over the GOES-R observation domain using infrared geostationary infrared window (IRW) imagery. The higher density winds derived from the GOES-R ABI allow forecasters to more accurately determine the extent of the eye and gale force winds, and will improve the model forecasts of track and intensity.