Name: ML for Earth System Modelling and Analytics workshop 2021
Start: 2021-05-03T14:30:00+02:00
End: 2021-05-04T18:10:00+02:00
Location: No location set

ML for Earth System Modelling and Analytics workshop 2021

from Monday 3 May 2021 (14:30) to Tuesday 4 May 2021 (18:10)

Monday 3 May 2021

14:30 Welcome, logistics
Welcome, logistics
14:30 - 14:45
14:45 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)
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)
14:45 - 15:15
15:15 Short break
Short break
15:15 - 15:20
15:20 Earth System Modelling
Earth System Modelling
15:20 - 16:45
Contributions

15:20 An ML Perspective on Closed Loop Tuning in Earth Science Simulators - David Greenberg (Hereon)

15:35 A machine learning-based air quality forecast system for Pacific Northwest - Kai Fan (CASUS/HZDR)

15:50 Near-surface temperature forecasting by deep learning - Bing Gong (Juelich Supercomputing Center)

16:05 Using machine learning techniques to classify ENSO events - Nicola Maher (U. Colorado, Boulder/MPI for Meteorology)

16:20 The Frontiers of Deep Learning for the Earth System Sciences - David Hall (NVIDIA)
Extreme Events and Impacts
Extreme Events and Impacts
15:20 - 16:45
Contributions

15:20 Machine learning model of the plasmasphere to forecast satellite charging caused by solar storms - Stefano Bianco (GFZ Potsdam)

15:35 Denoising seismic data using a ResNeXt-50-based convolutional autoencoder - Jan Walda (University of Hamburg)

15:50 Artificial Intelligence for flood analysis: first results from the AI4Flood project - Shagun Garg (GFZ Potsdam)

16:05 Automated Damage Assessment - Jacopo Margutti (Netherlands Red Cross)

16:20 Supervised Machine Learning to investigate Heat Waves and Myocardial Infarctions in Augsburg, Germany - Lennart Marien (GERICS)
16:45 Break
Break
16:45 - 17:00
17:00 Neural Earth System Modelling - Christopher Irrgang (GFZ Potsdam)
Neural Earth System Modelling
- Christopher Irrgang (GFZ Potsdam)
17:00 - 17:15
17:15 Discussion (co-chaired by C. Kadow & L. Bouwer)
Discussion (co-chaired by C. Kadow & L. Bouwer)
17:15 - 18:00
Tuesday 4 May 2021

14:30 Lightning talks
Lightning talks
14:30 - 15:10

15:10 Lightning talks interaction session
Lightning talks interaction session
15:10 - 15:40

15:40 Short break
Short break
15:40 - 15:45
15:45 Earth System Modelling
Earth System Modelling
15:45 - 17:15
Contributions

15:45 3D bias correction with deep learning in the Integrated Forecasting System - Thorsten Kurth (NVIDIA)

16:00 Building an Earth System Model emulator for local monthly temperature - Shruthi Nath (Climate Analytics/ETH Zürich)

16:15 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))

16:30 Lossy Compression of Climate Data using Convolutional Autoencoders - Silke Donayre Holtz (KIT)

16:45 Building a versioned pipeline for ML-based quality control of environmental sensor data - Julius Polz (KIT)
Remote sensing and marine ecosystems
Remote sensing and marine ecosystems
15:45 - 17:15
Contributions

15:45 Quantifying the impact of bedrock uncertainty on ice sheet model simulations by Gaussian Process modelling - Andreas Wernecke (MPI for Meteorology)

16:00 Remote Sensing of Global Ocean Wind Speed using GNSS Reflectometry and AI - Milad Asgarimehr (GFZ Potsdam)

16:15 Approximation of a marine ecosystem model using artificial neural networks - Markus Pfeil (Kiel University)

16:30 Artificial Intelligence for Cold Regions (AI-CORE) - a Pilot to bridge Data Analytics and Infrastructure Development - Long Duc Phan (AWI)
17:15 Break
Break
17:15 - 17:30
17:30 Keynote 2: A mile wide and a pixel deep: Integrating computer vision and satellite imagery for coupled-natural human system modeling - Kelly Caylor (UCSB)
Keynote 2: A mile wide and a pixel deep: Integrating computer vision and satellite imagery for coupled-natural human system modeling
- Kelly Caylor (UCSB)
17:30 - 18:00
18:00 Wrap-up
Wrap-up
18:00 - 18:10

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