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ML for Earth System Modelling and Analytics workshop 2021

3–4 May 2021
Europe/Berlin timezone

Contribution List

25 / 25
1. Welcome, logistics
03/05/2021, 14:30
2. Keynote 1: Leveraging Artificial Intelligence and Big data across the disaster risk management cycle; opportunities and challenges for the Red Cross
Marc van den Homberg (510/Netherlands Red Cross)
03/05/2021, 14:45
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
13. Neural Earth System Modelling
Christopher Irrgang (GFZ Potsdam)
03/05/2021, 17:00
14. Discussion (co-chaired by C. Kadow & L. Bouwer)
03/05/2021, 17:15
17. 3D bias correction with deep learning in the Integrated Forecasting System
Thorsten Kurth (NVIDIA)
04/05/2021, 15:45
22. Quantifying the impact of bedrock uncertainty on ice sheet model simulations by Gaussian Process modelling
Andreas Wernecke (MPI for Meteorology)
04/05/2021, 15:45
18. Building an Earth System Model emulator for local monthly temperature
Shruthi Nath (Climate Analytics/ETH Zürich)
04/05/2021, 16:00
23. Remote Sensing of Global Ocean Wind Speed using GNSS Reflectometry and AI
Milad Asgarimehr (GFZ Potsdam)
04/05/2021, 16:00
24. Approximation of a marine ecosystem model using artificial neural networks
Markus Pfeil (Kiel University)
04/05/2021, 16:15
19. Machine learning based post-processing of 2-m air temperature model output – a multi-model approach
Gabriel Stachura (Institute of Meteorology and Water Management (Poland))
04/05/2021, 16:15
25. Artificial Intelligence for Cold Regions (AI-CORE) - a Pilot to bridge Data Analytics and Infrastructure Development
Long Duc Phan (AWI)
04/05/2021, 16:30
20. Lossy Compression of Climate Data using Convolutional Autoencoders
Silke Donayre Holtz (KIT)
04/05/2021, 16:30
21. Building a versioned pipeline for ML-based quality control of environmental sensor data
Julius Polz (KIT)
04/05/2021, 16:45
15. Keynote 2: A mile wide and a pixel deep: Integrating computer vision and satellite imagery for coupled-natural human system modeling
Kelly Caylor (UCSB)
04/05/2021, 17:30
16. Wrap-up
04/05/2021, 18:00

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