Visualization of Climate Science Simulation Data.


Journal

IEEE computer graphics and applications
ISSN: 1558-1756
Titre abrégé: IEEE Comput Graph Appl
Pays: United States
ID NLM: 9881869

Informations de publication

Date de publication:
Historique:
entrez: 14 1 2021
pubmed: 15 1 2021
medline: 15 1 2021
Statut: ppublish

Résumé

Climate simulations belong to the most data-intensive scientific disciplines and are-in relation to one of humankind's largest challenges, i.e., facing anthropogenic climate change-ever more important. Not only are the outputs generated by current models increasing in size, due to an increase in resolution and the use of ensembles, but the complexity is also rising as a result of maturing models that are able to better describe the intricacies of our climate system. This article focuses on developments and trends in the scientific workflow for the analysis and visualization of climate simulation data, as well as on changes in the visualization techniques and tools that are available.

Identifiants

pubmed: 33444129
doi: 10.1109/MCG.2020.3043987
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

42-48

Auteurs

Classifications MeSH