21.05.2021
This year's virtual EGU General Assembly has seen a number of contributions from ESiWACE2 project partners:
AS4.2: High resolution modelling of weather and climate
Jointly with Daniel Klocke, Peter Dueben (ECMWF) and Florian Ziemen (DKRZ) convened a PICO session on high resolution modelling of weather and climate which included the following ESiWACE2-related presentations:
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The DYAMOND Winter data collection by Julia Duras, Florian Ziemen and Daniel Klocke
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GPU acceleration of the FESOM-2 ocean and sea-ice model by Gijs van den Oord, Alessio Sclocco, Georges-Emmanuel Moulard, David Guibert, Dmitry Sidorenko, Nikolay Koldunov, Ben van Werkhoven, Erwan Raffin, and Natalja Rakowski
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DYAMOND-II simulations with IFS-FESOM2 by Thomas Rackow, Nils Wedi, Kristian Mogensen, Peter Dueben, Helge F. Goessling, Jan Hegewald, Christian Kühnlein, Lorenzo Zampieri, and Thomas Jung
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Operational Single-Precision Earth-System Modelling at ECMWF by Sam Kristian Mogensen, Peter Dueben, Nils Wedi, and Michail Diamantakis
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OBLIMAP parallelization and optimization toward high resolution climate model - ice sheet model coupler by Erwan Raffin, David Guibert and Thomas Reerink
ITS4.4/AS4.1: Machine learning for Earth System modelling
Together with Julien Brajard, Redouane Lguensat, Francine Schevenhoven and Maike Sonnewald, Peter Dueben of ECMWF co-convened a PICO session on machine learning for earth system modelling.
The session covered a broad range of topics from data reconstruction, evaluation and quality control via forecasting and predictions to data analysis and specific applications using machine learning methods.
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Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows by Jan Ackmann, Peter Dueben, Tim Palmer and Piotr Smolarkiewicz
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Machine Learning Emulation of 3D Cloud Radiative Effects by David Meyer, Robin J. Hogan, Peter D. Dueben, and Shannon L. Mason
- Machine learning emulation of gravity wave drag in numerical weather forecasting by Matthew Chantry, Sam Hatfield, Peter Dueben, Inna Polichtchouk and Tim Palmer
SC5.1: Data Visualization in Earth Science
Together with Marc Rautenhaus (University of Hamburg), Niklas Röber and Michael Böttinger of DKRZ have co-convened a short course on earth science data visualization, introducing the general-purpose data visualization tool ParaView and the meteorology-specific Met.3D visualization framework for analysing increasingly large and complex earth science data sets.
The short course recording is available for viewing by registered vEGU21 attendees until 31 May 2021.