Models

Deep learning models for the Forecasting platform

XNow 2.0.4

XNow version 2.0.4 - Xception-based ensemble of 3 models trained on a dataset containing 45 days of radar data (thredds). Each model has been trained on a region of approximately 300km x 300km surrounding Oslo for predicting the composite reflectivity values in the future using current radar values and an improved loss function. The day used for illustrating the predictions has not been used for training.

XNow 2.0.3

XNow version 2.0.3 - Xception-based ensemble of 3 models trained on a dataset containing 45 days of radar data (thredds). Each model has been trained on a region of approximately 300km x 300km surrounding Oslo for predicting the composite reflectivity values in the future using current radar values. The day used for illustrating the predictions has not been used for training.

XNow version 1.0.0

XNow version 1.0.0 - Xception-based model trained on a dataset containing 45 days of radar data (thredds). The model has been trained on a region of approximately 300km x 300km surrounding Oslo for predicting the composite reflectivity values in the future using current radar values. The day used for illustrating the predictions has not been used for training.

XNow 5 min - based on currently available radar data predicts the radar values 5 minutes in the future.

XNow 15 min - based on currently available radar data predicts the radar values 15 minutes in the future.

XNow version 0.0.1

XNow version 0.0.1 - Incipient Xception-based model trained on a dataset containing 6 days with meteorological events (thredds), selected from the CAP warnings available at weatherapi. The model has been trained on a region of approximately 300km x 300km surrounding Oslo for predicting the composite reflectivity values at 5 minutes in the future using the values from the current timestamp. The day used for illustrating the predictions has not been used for training.

ConvSNow 1.0.0

ConvSNow version 1.0.0 - Convolutionary LSTM model trained on satellite imagery spanning Europe collected by EUMESAT's Meteosat-11 satellite utilizing the Severe Storms RGB product. The model was trained on 24 days from June 2021. The day used for illustrating the predictions is a day from June 2021 that has not been used for training.

ConvSNow 15 min - based on currently available satellite data predicts the Severe Storms RGB product 15 minutes in the future. The top side animation represents the model prediction, while the bottom side animation represents the actual (real) observation.