Probabilistic correction of precipitation

What is it about?

The model output of precipitation require a correction of systematic error. In general, the models underestimate the heaviest rainfall, so it is suggested to perform a transference from the observed empirical probability curve to the model output. This work uses a parametric quantile-quantile transference to solve the problem of rainfall extremes (greater than the observations). The method is applied to a particular case of northern Spain (Basque Country), but it is exportable to anywhere.

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Why is it important?

This work is very important because it allows to correct satisfactorily the probability distribution of models: (a) The method achieves the model output distribution is statistically insdistinguible of the observed distribution in the common time period (control period). (b) The method allows the model to project higher than those observed for future rainfall scenarios. This is not allowed in a classical non-parametric correction.