EGU23-4525
https://doi.org/10.5194/egusphere-egu23-4525
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

GCIMS – Integration: Reproducible, robust, and scalable workflows for interoperable human-Earth system modeling

Zarrar Khan, Chris Vernon, Isaac Thompson, and Pralit Patel
Zarrar Khan et al.
  • Joint Global Change Research Institute - PNNL, College Park, MD, United States of America (zarrar.khan@pnnl.gov)

The number of models, as well as data inputs and outputs, are continuously growing as scientists continue to push the boundaries of spatial, temporal, and sectoral details being captured. This study presents the framework being developed to manage the Global Change Intersectoral Modeling System (GCIMS) eco-system of human-Earth system models. We discuss the challenges of ensuring continuous deployment and integration, reproducibility, interoperability, containerization, and data management for the growing suite of GCIMS models. We investigate the challenges of model version control and interoperability between models using different software, operating on different temporal and spatial scales, and focusing on different sectors. We also discuss managing transparency and accessibility to models and their corresponding data products throughout our integrated modeling lifecycle.

How to cite: Khan, Z., Vernon, C., Thompson, I., and Patel, P.: GCIMS – Integration: Reproducible, robust, and scalable workflows for interoperable human-Earth system modeling, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4525, https://doi.org/10.5194/egusphere-egu23-4525, 2023.