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    Academic Journals

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• HIDRA2: deep-learning ensemble sea level and storm tide forecasting in the presence of seiches - the case of the northern Adriatic.

  Authors:Marko Rus, Anja Fettich, Matej Kristan, and Matjaž LicerFrom:Geoscientific Model Development (Vol. 16, Issue 1) Peer-Reviewed

  Jan. 10, 2023356 words Brief article We propose a new deep-learning architecture HIDRA2 for sea level and storm tide modeling, which is extremely fast to train and apply and outperforms both our previous network design HIDRA1 and two state-of-the-art...

• Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range.

  Authors:Daan R. Scheepens, Irene Schicker, KateÅina Hlavácková-Schindler, and Claudia PlantFrom:Geoscientific Model Development (Vol. 16, Issue 1) Peer-Reviewed

  Jan. 10, 2023374 words Brief article The number of wind farms and amount of wind power production in Europe, both on- and offshore, have increased rapidly in the past years. To ensure grid stability and on-time (re)scheduling of maintenance tasks and to...

• Operational water forecast ability of the HRRR-iSnobal combination: an evaluation to adapt into production environments.

  Authors:Joachim Meyer, John Horel, Patrick Kormos, Andrew Hedrick, Ernesto Trujillo, and S. McKenzie SkilesFrom:Geoscientific Model Development (Vol. 16, Issue 1) Peer-Reviewed

  Jan. 10, 2023287 words Brief article Operational water-resource forecasters, such as the Colorado Basin River Forecast Center (CBRFC) in the Western United States, currently rely on historical records to calibrate the temperature-index models used for...