ML for Earth System Modelling and Analytics workshop 2021

Session

Parallel sessions day 2

May 4, 2021, 3:45 PM

Conveners

Parallel sessions day 2: Earth System Modelling

• Christopher Kadow (DKRZ)
• Eduardo Zorita (Hereon)

Parallel sessions day 2: Remote sensing and marine ecosystems

• Tobias Weigel (DKRZ)

17. 3D bias correction with deep learning in the Integrated Forecasting System

Thorsten Kurth (NVIDIA)

5/4/21, 3:45 PM

22. Quantifying the impact of bedrock uncertainty on ice sheet model simulations by Gaussian Process modelling

Andreas Wernecke (MPI for Meteorology)

5/4/21, 3:45 PM

18. Building an Earth System Model emulator for local monthly temperature

Shruthi Nath (Climate Analytics/ETH Zürich)

5/4/21, 4:00 PM

23. Remote Sensing of Global Ocean Wind Speed using GNSS Reflectometry and AI

Milad Asgarimehr (GFZ Potsdam)

5/4/21, 4:00 PM

24. Approximation of a marine ecosystem model using artificial neural networks

Markus Pfeil (Kiel University)

5/4/21, 4:15 PM

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))

5/4/21, 4:15 PM

25. Artificial Intelligence for Cold Regions (AI-CORE) - a Pilot to bridge Data Analytics and Infrastructure Development

Long Duc Phan (AWI)

5/4/21, 4:30 PM

20. Lossy Compression of Climate Data using Convolutional Autoencoders

Silke Donayre Holtz (KIT)

5/4/21, 4:30 PM

21. Building a versioned pipeline for ML-based quality control of environmental sensor data

Julius Polz (KIT)

5/4/21, 4:45 PM