Model accuracy is likely to increase with decreasing grain size. However, successful model transferability may require optimization of model grain size.
An important counterweight to the “finer is always better” assumption: in a Rhododendron ponticum transferability test, the finest model (50 m) performed worse (CBI 0.77) than a medium resolution (300 m, CBI 0.90), while the coarsest (1 km) performed worst (CBI 0.65). For the DestinE Climate-DT era, higher resolution does not automatically mean better projections — spatial grain still requires empirical justification.
Paper annotation: Model accuracy is likely to increase with decreasing grain size. However, successful model transferability may require optimization of model grain size.