2/3/2025 | 9:30 AM - 10:30 AM | Regency A

Challenges and methods in kilometer-scale E3SM land model simulation data processing and Analysis

Author(s)

Dali wang | Oak Ridge National Lab
Peter Schwartz | Oak Ridge National Lab
Fengming Yuan | Oak Ridge National Lab
Peter Thornton | Oak Ridge National Lab
Qinglei Cao | Saint Louis University
Chen wang | Lawrence Livermore National Lab
Xiao Wang | Oak Ridge National Lab

Abstract

The increasing need for detailed insights into Earth's climate dynamics has prompted the use of kilometer-scale Earth System Models (ESMs), which provide high-resolution simulations critical for understanding both natural and anthropogenic influences on the climate system. However, such fine-scale simulations pose significant challenges, primarily due to their substantial computational demands and the complexity in managing and analyzing vast amounts of output data. This presentation focuses on the technical hurdles encountered while processing ultrahigh-resolution simulation data, specifically results from 1km x 1km resolution simulations over North America. We explore innovative approaches, including advanced image processing techniques and machine learning methodologies, aimed at efficiently handling and interpreting the intricate data generated. By leveraging these modern analytical tools, we seek to enhance our capacity to extract meaningful insights from ESM outputs. Ultimately, this discussion aims to bridge the gap between experts in image processing and those engaged in Earth system simulations, fostering collaboration that may lead to improved data analysis strategies and a deeper understanding of climate change phenomena.