Each of these approaches has relative strengths and weaknesses in representing the range of temporal variance of the local
climate predictand.
Not exact matches
Perhaps we could say that probabilistic statements about
climate sensitivity ignore uncertainty regarding the true relationship between predictor and
predictand.
Statistical downscaling is based on relationships linking large - scale atmospheric variables from either GCMs or RCMs (predictors) and local / regional
climate variables (
predictands) using observations.