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Interpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON

Heuer, Helge Gustav Helmut and Schwabe, Mierk and Gentine, Pierre and Giorgetta, Marco A. and Eyring, Veronika (2024) Interpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON. EGU General Assembly 2024, 2024-04-14 - 2024-04-19, Vienna, Austria.

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Item URL in elib:https://elib.dlr.de/207539/
Document Type:Conference or Workshop Item (Speech)
Title:Interpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Heuer, Helge Gustav HelmutDLR, IPAhttps://orcid.org/0000-0003-2411-7150169823079
Schwabe, MierkDLR, IPAhttps://orcid.org/0000-0001-6565-5890UNSPECIFIED
Gentine, PierreColumbia University, New York, USAhttps://orcid.org/0000-0002-0845-8345UNSPECIFIED
Giorgetta, Marco A.MPI für Meteorologie, Hamburghttps://orcid.org/0000-0002-4278-1963UNSPECIFIED
Eyring, VeronikaDLR, IPAhttps://orcid.org/0000-0002-6887-4885UNSPECIFIED
Date:April 2024
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Atmospheric Convection, Machine Learning, Climate Modeling
Event Title:EGU General Assembly 2024
Event Location:Vienna, Austria
Event Type:international Conference
Event Start Date:14 April 2024
Event End Date:19 April 2024
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Atmospheric and climate research
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Earth System Model Evaluation and Analysis
Deposited By: Heuer, Helge Gustav Helmut
Deposited On:18 Oct 2024 10:54
Last Modified:18 Oct 2024 10:54

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