Climate Science

Robust and Accurate Multimodel Algorithms.

Energy Exascale Earth System Model

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.

Scalable and accurate spatial couplers for climate problems require careful design and implementation to maintain excellent performance on complex architectures. We present an implementation for E3SM, based on MOAB-TempestRemap libraries.

New inferred partitioning strategy reduces time for mesh intersection, enabling coupling of extreme-size meshes

Accurate climate modeling of coupled Earth systems requires mapping of solution field data between dependent components that use non-matching discrete meshes. While existing workflows provide a pathway to generate the projection weights as an offline step, severe bottlenecks impede flexible setup of high-resolution models. In this paper, we present new algorithmic approaches to simplify the E3SM computational workflow using a scalable software infrastructure to generate the remapping operators.