Arctic Simulation System

Manager: Yoshiki Komuro (Japan Agency for Marine-Earth Science and Technology)

Numerical modeling is essential to understanding environmental changes in the Arctic. It stands alongside observations, fieldwork, and theoretical studies. Among these models, climate models are particularly important tools, enabling researchers to generate fundamental data for investigating environmental changes in the Arctic and globally across past, present, and future time frames. However, as models become more complex and higher in resolution, the required computational resources increase significantly, making it difficult for individual researchers to conduct large-scale simulations independently.

The goal of this research infrastructure is to advance Arctic studies by conducting climate model simulations and providing the results to various research programs within the ArCS III project. These simulations are tailored specifically to Arctic studies. For example, they use model configurations with selectively enhanced spatial resolution in the Arctic region and involve computationally intensive experiments. In collaboration with project researchers, we explore advanced uses of simulation results, such as particle tracking experiments, to gain deeper insights into Arctic processes.

We also contribute to disseminating scientific knowledge by collaborating with other research infrastructures, such as the Arctic Data Archive System (ADS), to publicly share climate and environmental research simulation data. Through these efforts, we support the activities of the ArCS III project and promote public understanding of environmental change in the Arctic.