Article Dans Une Revue Mathematical and computational applications Année : 2022

Benchmarking Regridding Libraries Used in Earth System Modelling

Résumé

Components of Earth system models (ESMs) usually use different numerical grids because of the different environments they represent. Therefore, a coupling field sent by a source model has to be regridded to be used by a target model. The regridding has to be accurate and, in some cases, conservative, in order to ensure the consistency of the coupled model. Here, we present work done to benchmark the quality of four regridding libraries currently used in ESMs, i.e., SCRIP, YAC, ESMF and XIOS. We evaluated five regridding algorithms with four different analytical functions for different combinations of six grids used in real ocean or atmosphere models. Four analytical functions were used to define the coupling fields to be regridded. This benchmark calculated some of the metrics proposed by the CANGA project, including the mean, maximum, RMS misfit, and global conservation. The results show that, besides a few very specific cases that present anomalous values, the regridding functionality in YAC, ESMF and XIOS can be considered of high quality and do not present the specific problems observed for the conservative SCRIP remapping. The evaluation of the computing performance of those libraries is not included in the current work but is planned to be performed in the coming months. This exercise shows that benchmarking can be a great opportunity to favour interactions between users and developers of regridding libraries.

Domaines

Climatologie
Fichier principal
Vignette du fichier
Globc_AR_Valcke_Math_Comput_Appl_AR-CMGC-22-28.pdf (11.11 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04740247 , version 1 (16-10-2024)

Licence

Identifiants

Citer

S. Valcke, Andrea Piacentini, Gabriel Jonville. Benchmarking Regridding Libraries Used in Earth System Modelling. Mathematical and computational applications, 2022, 27 (2), pp.article number 31. ⟨10.3390/mca27020031⟩. ⟨hal-04740247⟩

Collections

INSU CNRS OMP CECI
21 Consultations
2 Téléchargements

Altmetric

Partager

More