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@@ -254,7 +254,9 @@ If cross-validation is chosen, leave-one-out cross-validation will be applied. T
 
 The Downscaling module performs downscaling on the anomalies making use of the functions in the [CSDownscale package](https://earth.bsc.es/gitlab/es/csdownscale). It accepts the output of the Anomalies module as input and also requires the recipe. The module applies the selected downscaling method to the hindcast anomalies using observed anomalies as the reference and returns the downscaled data and its metadata as an s2dv_cube object.
 
-The output of the main function, **Downscaling()**, is a list containing the downscaled hindcast and observations, named **hcst** and **obs**. Currently it is not possible to apply Downscaling to the forecast. 
+Additionally, forecast data can be downscaled. In this case, while hindcast and observational data are used to train the model, the relationship obtained from the training period is utilized to downscale the forecast data.
+
+The output of the main function, **Downscaling()**, is a list containing the downscaled hindcast (forecast) and observations, named **hcst** (**fcst**) and **obs**.
 
 **Downscaling methods currently available:**