Work

Data for the article "Toward Exascale Climate Modelling: A Python DSL Approach to ICON's (Icosahedral Non-hydrostatic) Dynamical Core (icon-exclaim v0.2.0)"

Year: 2025

Type: dataset

Abstract: This archive contains post-processed data used to generate figures in the submitted manuscript "Towards Exascale Climate Modelling: A Python DSL approach to ICON's (Icosahedral non-hydrostatic) Dynamical core (icon-exlcaim v0.2.0)"

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17317422

Authors: Dipankar, Anurag, Bukenberger, Mona, Kroll, Clarissa, pothapakula, praveen kumar

Institutions: Center for Climate Systems Modeling, ETH Zurich

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W7088421667

Cites:

Cited by:

Related to: