- 1State Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
- 2Geography and Environmental Science, University of Southampton, Southampton, UK
- 3Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego, USA
- 4Division of Environmental Science and Engineering, Pohang University of Science and Technology, South Korea
- 5Civil and Environmental Engineering, National University of Singapore, Singapore
- 6Department of Civil, Environmental, and Architectural Engineering, University of Kansas, USA
- 7Civil and Environmental Engineering, Duke University, USA
- 8Department of Physical Geography, Faculty of Geosciences, Utrecht University, Netherlands
The High-Resolution Earth System Modeling, Analysis and Prediction for a Society Resilient to Hydrometeorological Hazards (EarthRes) is a program of the International Decade of Sciences for Sustainable Development (IDSSD), endorsed by UNESCO in 2025. EarthRes aims to build global societal resilience to hydrometeorological hazards through five pillars: (1) establishing cooperative observation networks; (2) advancing process-based understanding of Earth system dynamics; (3) enhancing prediction and early warning capabilities; (4) fostering indigenous and local knowledge and data sharing; and (5) strengthening capacity building among international partners.
This presentation will introduce the program's recent progress, including collaborative observations for understanding Earth system dynamics, the integration of a regional climate model with a coupled land surface-hydrology-ecology model that accounts for human activities (e.g., reservoir regulation, irrigation, urbanization), and the development of a forecasting framework. This framework connects the regional model with an AI model to predict droughts, floods, and compound events at synoptic to sub-seasonal scales.
Other activities under EarthRes will also be introduced, and future plans will be discussed. Through international collaboration and targeted capacity-building, EarthRes seeks to enhance sub-seasonal prediction and early warning capabilities, with particular benefits for vulnerable regions.
How to cite: Yuan, X., Sheffield, J., Pan, M., Kam, J., He, X., Roundy, J., Chaney, N., Wanders, N., Wang, L., Li, C., and Hao, Y.: An introduction to the EarthRes program, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11167, https://doi.org/10.5194/egusphere-egu26-11167, 2026.