eflows4HPC partners will actively participate on the EGU General Assembly 2023 that will take place 23-28 April 2023 in Vienna, Austria.
Firstly, on Monday 24 April, eflows4HPC presents a poster titled “Convergence of HPC, Big Data and Machine Learning for Earth System workflows” in Hall X4 from 16:15–18:00h. Secondly, on Wednesday 26 April from 8:55–09:05h the BSC expert Marisol Monterrubio-Velasco will give the presentation titled “UCIS4EQ applied to the South Iceland region” in Room 2.17. Finally, on Thursday 27 April from 09:20 to 09:30, Louise Cordrie, will present the “Using available and incoming data for reducing and updating seismic source ensembles for probabilistic tsunami forecasting (PTF) in early-warning and urgent computing” in Room 1.15/16.
How to cite:
Elia, D., Scardigno, S., D’Anca, A., Accarino, G., Ejarque, J., Immorlano, F., Peano, D., Scoccimarro, E., Badia, R. M., and Aloisio, G.: Convergence of HPC, Big Data and Machine Learning for Earth System workflows, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6857, https://doi.org/10.5194/egusphere-egu23-6857, 2023.
Cordrie, L., Selva, J., Bernardi, F., and Tonini, R.: Using available and incoming data for reducing and updating seismic source ensembles for probabilistic tsunami forecasting (PTF) in early-warning and urgent computing, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-12363, https://doi.org/10.5194/egusphere-egu23-12363, 2023.
Monterrubio-Velasco, M., Pienkowska, M., and de la Puente, J.: UCIS4EQ applied to the South Iceland region, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-12982, https://doi.org/10.5194/egusphere-egu23-12982, 2023.