Demand. If you can offer higher resolution, in my backyard type forecasts that's what people are going to want. And we don't have the computing power to run two versions. And running a coarse model and downscaling it to 13 km isn't really helping improve things either.
There is an argument that we have too much data at our fingertips, or maybe that we have too much data that we don't understand fully at our fingertips. A 20 km GFS run is not the same as a 90 km GFS run, and forecasters need to change their thinking about how to use it to improve the forecast. Rip and reading may have worked for a broad brushed forecast at 90 km, but rip and reading at 20 km can make you look pretty bad at times.