Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-553-2022
https://doi.org/10.5194/gmd-15-553-2022
Model description paper
 | 
25 Jan 2022
Model description paper |  | 25 Jan 2022

PARASO, a circum-Antarctic fully coupled ice-sheet–ocean–sea-ice–atmosphere–land model involving f.ETISh1.7, NEMO3.6, LIM3.6, COSMO5.0 and CLM4.5

Charles Pelletier, Thierry Fichefet, Hugues Goosse, Konstanze Haubner, Samuel Helsen, Pierre-Vincent Huot, Christoph Kittel, François Klein, Sébastien Le clec'h, Nicole P. M. van Lipzig, Sylvain Marchi, François Massonnet, Pierre Mathiot, Ehsan Moravveji, Eduardo Moreno-Chamarro, Pablo Ortega, Frank Pattyn, Niels Souverijns, Guillian Van Achter, Sam Vanden Broucke, Alexander Vanhulle, Deborah Verfaillie, and Lars Zipf

Data sets

Input data for PARASO, a circum-Antarctic fully-coupled 5-component model C. Pelletier, F. Klein, L. Zipf, S. Vanden Broucke, and K. Haubner https://doi.org/10.5281/zenodo.5588468

PARASO ERA5 forcings C. Pelletier and S. Helsen https://doi.org/10.5281/zenodo.5590053

Scripts and data for the PARASO Geoscientific Model Development paper figures C. Pelletier https://doi.org/10.5281/zenodo.5763819

Supplementary figures supporting the corrigendum on the PARASO Geoscientific Model Development paper P.-V. Huot, S. Marchi, and C. Pelletier https://doi.org/10.5281/zenodo.6980131

Model code and software

PARASO source code (no COSMO) C. Pelletier, F. Klein, L. Zipf, K. Haubner, F. Pattyn, and E. Moravveji https://doi.org/10.5281/zenodo.5576201

Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
We present PARASO, a circumpolar model for simulating the Antarctic climate. PARASO features five distinct models, each covering different Earth system subcomponents (ice sheet, atmosphere, land, sea ice, ocean). In this technical article, we describe how this tool has been developed, with a focus on the coupling interfaces representing the feedbacks between the distinct models used for contribution. PARASO is stable and ready to use but is still characterized by significant biases.