CANGA

Last updated on Apr 23, 2024
Code
PIGLET, ROO, TIGGER

The CANGA project is a joint effort funded by the United States Department of Energy’s Office of Science under the Scientific Discovery through Advanced Computing (SciDAC) program.

CANGA aims to explore new high-performance coupling approaches and capabilities for coupled Earth System Models on next generation computing architectures.

Link to CANGA SciDAC Project.

CANGA Coupling Remapping
Vijay Mahadevan
Vijay Mahadevan
Computational Scientist

My research interests include high-order numerical methods development for modeling and simulating coupled multiphysics applications in nuclear engineering and climate science applications, through scalable HPC software implementations.

Publications

Metrics for Intercomparison of Remapping Algorithms (MIRA) applied to Earth System Models
Coupled Earth System Models require transfer of field data between multiple components with varying spatial resolutions to determine the correct climate behavior. We present the Metrics for Intercomparison of Remapping Algorithms (MIRA) protocol to evaluate the accuracy, conservation properties, monotonicity and local feature preservation of four different remapper algorithms, for various unstructured mesh problems of interest. Future extensions to more practical use cases are also discussed.
Vijay S. Mahadevan, Jorge E. Guerra, Xiangmin Jiao, Paul Kuberry, Yipeng Li, Paul Ullrich, David Marsico, Robert Jacob, Pavel Bochev, Philip Jones
PDF Cite Code Dataset Project Project DOI
Metrics for Intercomparison of Remapping Algorithms (MIRA) applied to Earth System Models