wpringle / greatlakes_coupledmodeluq

Uncertainty quantification analysis for a coupled lake-atmosphere climate model of the Great Lakes region

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Pringle-etal_2024_JAMES

Coupled Lake-Atmosphere-Land Physics Uncertainties in a Great Lakes Regional Climate Model

William Pringle^1*, COMPASS-GLM Team 1, and Khachik Sargsyan²

¹ Environmental Science Division, Argonne National Laboratory, Lemont, IL, USA ² Sandia National Laboratories, Livermore, California, USA

* corresponding author: [email protected]

Abstract

In this paper the authors develop a long-term global energy-economic model which is capable of assessing alternative energy evolutions over periods of up to 100 years. The authors have sought to construct the model so that it can perform its assigned task with as simple a modelling system as possible. The model structure is fully documented and a brief summary of results is given.

Journal reference

Pringle, W. J., Huang, C., Xue, P., Wang, J., Sargsyan K., Kayastha, M., Chakraborty, T. C., Yang, Z., Qian Y., Hetland, R. D. (2024). Coupled Lake-Atmosphere-Land Physics Uncertainties in a Great Lakes Regional Climate Model. Submitted to Journal of Advances in Modeling Earth Systems, ESSOAr DOI to add.

Code reference

Pringle W. J. (2024, March 11). Project/repo:v1.0 (Version v0.1). Zenodo.

Data reference

Pringle W. J. (2024, March 11). Great Lakes WRF-FVCOM model ensemble outputs: Summer 2018 daily LST and T2m (Version v0.1) [Dataset]. Zenodo

Contributing modeling software

Model	Version	Author-Year	DOI
FVCOM	v41	Chenfu Huang (2023a)	Zenodo
WRF	v4.2.2	Chenfu Huang (2023b)	Zenodo

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