Construction of a Common Analysis Framework for Global km-Scale Models

2.3 Enviroment and Energy (Energy System, Renewable Energy, Ecosystem, Material Cycle, Life Cycle)
2.7 Disaster Prevention, Reconstruction (Earthquake, Tsunami, Volcano, Meteorology, Flood, Natural Disaster)
2.8 Global Environment (Natural Resource Management, Climate Change, Database for Global Environment)

Masaki Satoh

Atmosphere and Ocean Research Institute

Professor

New developments in weather and climate research using ultra-high-resolution atmosphere-ocean and earth system models that cover the entire globe on a km-scale mesh have begun. Global km-scale models are expected to play a significant role in the real-time monitoring and prediction of future changes in extreme weather events, such as typhoons and torrential rains, which are becoming increasingly severe with the progress of global warming. They are also expected to contribute to the Digital Twin Earth. In this project of JHPCN's mdx, we aim to promote international collaboration on global km-scale models by evaluating the performance of global km-scale model simulations using archived simulation data for analysis.

Concept of Earth Visualization Engine (EVE)
https://eve4climate.org/

Simulated images of the global storm-resolving model inter-comparison experiment, DYAMOND (Stevens et al. 2019).
https://doi.org/10.1186/s40645-019-0304-z

Research collaborators

Tomoki Ohno (The University of Tokyo)
Woosub Roh (The University of Tokyo)
Shuhei Matsugisi (The University of Tokyo)
Daisuke Takasuka (Tohoku University)
Chihiro Kodama (Japan Agency for Marine-Earth Science and Technology)
Hisashi Yashiro (National Institute for Environmental Studies)

Related publications

Stevens et al., 2024: Earth Virtualization Engines (EVE).
Earth Syst. Sci. Data, 16, 2113–2122.
https://doi.org/10.5194/essd-16-2113-2024
Takasuka et al., 2024:
A protocol and analysis of year-long simulations of global storm-resolving models and beyond.
Progress in Earth and Planetary Science, in review. Preprint:
https://doi.org/10.21203/rs.3.rs-4458164/v1
Stevens et al. 2024: DYAMOND: The DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains. Progress in Earth and Planetary Science, 6, 61,
https://doi.org/10.1186/s40645-019-0304-z