Scripts and data for the PARASO Geoscientific Model Development paper figures
Creators: name: Pelletier, Charles
Publisher: name: Zenodo
Year: 2021

description: Scripts and data for reproducing all figures from the PARASO model description paper. <code>*.tex</code> sources generate Tikz pdf figures calling <code>pdflatex &lt;input.tex&gt;</code>. they require a working LaTeX installation with some standard libraries (e.g. Tikz and others). <code>*.py</code> are python scripts generating figures. They require standard python libraires such as matplotlib, numpy, cartopy... <strong>Model description</strong>: Pelletier, C., Fichefet, T., Goosse, H., Haubner, K., Helsen, S., Huot, P.-V., Kittel, C., Klein, F., Le clec'h, S., van Lipzig, N. P. M., Marchi, S., Massonnet, F., Mathiot, P., Moravveji, E., Moreno-Chamarro, E., Ortega, P., Pattyn, F., Souverijns, N., Van Achter, G., Vanden Broucke, S., Vanhulle, A., Verfaillie, D., and Zipf, L.: 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, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2021-315, in review, 2021. <strong>Source code (no COSMO)</strong>: Pelletier, Charles, Klein, François, Zipf, Lars, Haubner, Konstanze, Mathiot, Pierre, Pattyn, Frank, Moravveji, Ehsan, &amp; Vanden Broucke, Sam. (2021). PARASO source code (no COSMO) (v1.4.3). Zenodo. https://doi.org/10.5281/zenodo.5576201 <strong>Input data: </strong>Pelletier, Charles, Klein, François, Zipf, Lars, Vanden Broucke, Sam, Haubner, Konstanze, &amp; Helsen, Samuel. (2021). Input data for PARASO, a circum-Antarctic fully-coupled 5-component model (v1.4.3) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5588468 <strong>Forcings</strong>: Pelletier, Charles, &amp; Helsen, Samuel. (2021). PARASO ERA5 forcings (1.4.3) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5590053 <strong>Acknowledgements</strong> The ERA5 data (Hersbach, 2019) was downloaded on 01-09-2019 from the Copernicus Climate Change Service (C3S) Climate Data Store. The results contain modified Copernicus Climate Change Service information 2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. <strong>Reference</strong>: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2018): ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on 01-SEP-2019), https://doi.org/10.24381/cds.adbb2d47. The sea-ice index (NSIDC-G02315) was downloaded on 01-09-2019 from the National Snow &amp; Ice Data Center. <strong>Reference</strong>: Fetterer, F., K. Knowles, W. N. Meier, M. Savoie, and A. K. Windnagel. 2017, updated daily. Sea Ice Index, Version 3. Daily Antarctic. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. https://doi.org/10.7265/N5K072F8. Accessed on 01-SEP-2019. The World Ocean Atlas 2018 (WOA18): <strong>Reference: </strong>Boyer, Tim P.; Garcia, Hernan E.; Locarnini, Ricardo A.; Zweng, Melissa M.; Mishonov, Alexey V.; Reagan, James R.; Weathers, Katharine A.; Baranova, Olga K.; Seidov, Dan; Smolyar, Igor V. (2018). World Ocean Atlas 2018. Statistical means of temperature and salinity on $0.25^\circ$ grid.. NOAA National Centers for Environmental Information. Dataset. https://accession.nodc.noaa.gov/NCEI-WOA18. Accessed 01-SEP-2020. Ice-shelf melt rates observations: <strong>Reference: </strong>Rignot, E., Jacobs, S., Mouginot, J., &amp; Scheuchl, B. (2013). Ice-shelf melting around Antarctica (Supplementary Material) Science, 341(6143), 266-270. https://doi.org/10.1126/science.1235798. <strong>Reference: </strong>Adusumilli, Susheel; Fricker, Helen A.; Medley, Brooke C.; Padman, Laurie; Siegfried, Matthew R. (2020). Data from: Interannual variations in meltwater input to the Southern Ocean from Antarctic ice shelves. UC San Diego Library Digital Collections. https://doi.org/10.6075/J04Q7SHT JRA-55 reanalysis: <strong>Reference: </strong>Kobayashi, S., Y. Ota, Y. Harada, A. Ebita, M. Moriya, H. Onoda, K. Onogi, H. Kamahori, C. Kobayashi, H. Endo, K. Miyaoka, and K. Takahashi , 2015: The JRA-55 Reanalysis: General specifications and basic characteristics. J. Meteor. Soc. Japan, 93, 5-48, https://doi.org/10.2151/jmsj.2015-001 BedMachine Antarctic topography: <strong>Reference</strong>: Morlighem, M., Rignot, E., Binder, T. et al. Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet. Nature Geoscience 13, 132–137 (2020). https://doi.org/10.1038/s41561-019-0510-8 <strong>Reference: </strong>Morlighem, M. 2020. MEaSUREs BedMachine Antarctica, Version 2. Ice-sheet thickness, surface elevation and mask. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/E1QL9HFQ7A8M (accessed 01-FEB-2020).
description: Developed within the framework of the PARAMOUR project, Decadal predictability and variability of polar climate: the role of atmosphere-ocean-cryosphere multiscale interactions. Fonds de la Recherche Scientifique–FNRS Grant number O0100718F (EOS ID 30454083).