These are the parameters most frequently viewed by our users. See all our parameters under the "all" tab. Here you will find all the parameters available for this model sorted into groups. Click on the respective group to display the parameters. If you don't see your desired parameter, try scrolling a bit down the list. Here are all the probabilities parameters. These are calculated from all members of an ensemble run.
Toggle between all the models that provide a forecast for the selected map domain. Please note that not all parameters are available for each model. Select models that are currently not active but available through our big model archive. Switch easily between all models for which an equivalent map same parameter and same time but different model is available. You need a plus subscription for our additional features to be able to use our model charts player.
More information. The multi-model is a product that combines different high-resolution regional models for Central Europe into one forecast by dynamic weighting. A major advantage of the multi-model is that extreme solutions from one model do not bias the forecast in that direction. The multi-model will therefore never represent an outlier variant and thus can be taken as a good starting point for more detailed considerations.
If, for example, the multi-model predicts extremely high amounts of precipitation for a region, then this is a serious indication that it will come true, since this forecast is supported by several independent weather models and the impact of extreme solutions have been damped. For some parameters we also offer the maximums and minimums of the model ensemble, from which you can see the upper or lower end of the predicted values and their variation.
Furthermore, we can use the multi-model forecasts to calculate important indices for specific severe weather hazards, such as the flash flood index. Also, with the multi-model, as in an EPS Ensemble Prediction System , we can derive a probability of the occurrence of certain threshold values e.
