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Model accuracy is likely to increase with decreasing grain size. However, successful model transferability may require optimization of model grain size.
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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.
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Anne Fouilloux
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Paper annotation: Model accuracy is likely to increase with decreasing grain size. However, successful model transferability may require optimization of model grain size.
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