ML for Earth System Modelling and Analytics workshop 2021

Session

Parallel sessions day 1

May 3, 2021, 3:20 PM

Conveners

Parallel sessions day 1: Earth System Modelling

• Christopher Kadow (DKRZ)

Parallel sessions day 1: Extreme Events and Impacts

• Laurens Bouwer (GERICS)

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

David Greenberg (Hereon)

5/3/21, 3:20 PM

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

Stefano Bianco (GFZ Potsdam)

5/3/21, 3:20 PM

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

Kai Fan (CASUS/HZDR)

5/3/21, 3:35 PM

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

Jan Walda (University of Hamburg)

5/3/21, 3:35 PM

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

Shagun Garg (GFZ Potsdam)

5/3/21, 3:50 PM

5. Near-surface temperature forecasting by deep learning

Bing Gong (Juelich Supercomputing Center)

5/3/21, 3:50 PM

11. Automated Damage Assessment

Jacopo Margutti (Netherlands Red Cross)

5/3/21, 4:05 PM

6. Using machine learning techniques to classify ENSO events

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

5/3/21, 4:05 PM

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

Lennart Marien (GERICS)

5/3/21, 4:20 PM

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

David Hall (NVIDIA)

5/3/21, 4:20 PM