In order to simulate the behavior of future Advanced Baseline Imager data planned for the future GOES-R satellite we combine 1 km resolution infrared AVHRR imagery with 4 km resolution GOES imagery. The GOES imagery are then oversampled to a 1 km grid. A spectral filter is designed to reduce the scan line noise that dominates the GOES imagery. Hourly GOES images are used to compute the temporal gradient between images, which is then used to interpolate features between the 6-hourly AVHRR images. A test using two sequential AVHRR images demonstrates the success of this method. Unfortunately the GOES scan lines noise continues to influence the hourly interpolated images making them less than ideal representations of what the future ABI sensor will produce. Still, the method does demonstrate what level of spatial wavenumber features must be edited out to produce the best possible hourly images for the sequence of “ABI like” thermal infrared images. An animation of 24-hours of synthetic ABI infrared images demonstrates the improvement in depicting the thermal features of the ocean off the U.S. east coast in an area including the Gulf Stream. This method could provide a good test be for future ABI image testing.