ML for Earth System Modelling and Analytics workshop 2021

Session

Parallel sessions day 1

3 May 2021, 15:20

Conveners

Parallel sessions day 1: Extreme Events and Impacts

• Laurens Bouwer (GERICS)

Parallel sessions day 1: Earth System Modelling

• Christopher Kadow (DKRZ)

3. An ML Perspective on Closed Loop Tuning in Earth Science Simulators

David Greenberg (Hereon)

03/05/2021, 15:20

8. Machine learning model of the plasmasphere to forecast satellite charging caused by solar storms

Stefano Bianco (GFZ Potsdam)

03/05/2021, 15:20

4. A machine learning-based air quality forecast system for Pacific Northwest

Kai Fan (CASUS/HZDR)

03/05/2021, 15:35

9. Denoising seismic data using a ResNeXt-50-based convolutional autoencoder

Jan Walda (University of Hamburg)

03/05/2021, 15:35

10. Artificial Intelligence for flood analysis: first results from the AI4Flood project

Shagun Garg (GFZ Potsdam)

03/05/2021, 15:50

5. Near-surface temperature forecasting by deep learning

Bing Gong (Juelich Supercomputing Center)

03/05/2021, 15:50

11. Automated Damage Assessment

Jacopo Margutti (Netherlands Red Cross)

03/05/2021, 16:05

6. Using machine learning techniques to classify ENSO events

Nicola Maher (U. Colorado, Boulder/MPI for Meteorology)

03/05/2021, 16:05

12. Supervised Machine Learning to investigate Heat Waves and Myocardial Infarctions in Augsburg, Germany

Lennart Marien (GERICS)

03/05/2021, 16:20

7. The Frontiers of Deep Learning for the Earth System Sciences

David Hall (NVIDIA)

03/05/2021, 16:20