Earth System Models Pre-summit Intensive
Andreas Prein, Francina Dominguez, Ruby Leung, and Maria Molina
30. September 2024, University of Illinois Urbana-Champaign
X-SHiELD
Max Plank, DYAMOND
SCREAM
MPAS
NeuralGCM
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DALL·E (OpenAI) visualization of a km-scale simulation of the coupled earth system
Outline
2
25.09.24
What we know and “agree” on
Potential Issues
Opportunities & open research questions
What we know and “agree” on
3
25.09.24
Our community would benefit from more organization
Daniel Klocke
What we know and “agree” on
4
25.09.24
Benefits of km-scale models
community
What we know and “agree” on
5
25.09.24
Model Requirements
community
benefits
Running on heterogenous architectures with accelerators
What we know and “agree” on
6
25.09.24
Code Structure
community
benefits
requirements
What we know and “agree” on
7
25.09.24
community
benefits
requirements
code structure
Outline
8
25.09.24
What we know and “agree” on
Potential Issues
Opportunities & Open Research Questions
Opportunities & Open Research Questions�
9
25.09.24
Enhance speed and accuracy of model
Enhanced model resolution
Public-Private Partnerships
Community Building
Policy and Stakeholder Integration
Opportunities
Opportunities & Open Research Questions�
10
25.09.24
Opportunities
Research Questions
Balance between grid spacing and complexity
Validation of simulations and building trust with stakeholders
Coupling of individual components and new parameterizations
Ensemble size and uncertainty quantification
Computational efficiency and energy consumption
Outline
11
25.09.24
What we know and “agree” on
Potential Issues
Opportunities & Open Research Questions
Potential Issues
12
9/25/24
Energy consumption and HPC resources demand
Code rewrites are challenging and resource intensive
Balancing model complexity, grid spacing, and ensemble size
Model validation is difficult due to observational and methodological constraints
Inclusive framework that supports broad collaboration without compromising efficiency
Earth System Models Pre-Summit Intensive
13
25.09.24
What we know and “agree” on
Potential Issues
Opportunities & Open Research Questions
Earth System Models
14
25.09.24
Practitioners and Stakeholders
Computational Systems
Artificial Intelligence and Machine Learning
Starting point for discussion and feedback during this summit