Scripts and data for the PARASO Geoscientific Model Development paper figures
Scripts and data for reproducing all figures from the PARASO model description paper. *.tex sources generate Tikz pdf figures calling pdflatex <input.tex> . they require a working LaTeX installation with some standard libraries (e.g. Tikz and others). *.py are python scripts generating figures...
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Online Access: | https://dx.doi.org/10.5281/zenodo.5337519 https://zenodo.org/record/5337519 |
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Scripts and data for reproducing all figures from the PARASO model description paper. *.tex sources generate Tikz pdf figures calling pdflatex <input.tex> . they require a working LaTeX installation with some standard libraries (e.g. Tikz and others). *.py are python scripts generating figures. They require standard python libraires such as matplotlib, numpy, cartopy... Model description : 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., 15, 553–594, 10.5194/gmd-15-553-2022, 2022. Source code (no COSMO) : Pelletier, Charles, Klein, François, Zipf, Lars, Haubner, Konstanze, Mathiot, Pierre, Pattyn, Frank, Moravveji, Ehsan, & Vanden Broucke, Sam. (2021). PARASO source code (no COSMO) (v1.4.3). Zenodo. 10.5281/zenodo.5576201 Input data: Pelletier, Charles, Klein, François, Zipf, Lars, Vanden Broucke, Sam, Haubner, Konstanze, & Helsen, Samuel. (2021). Input data for PARASO, a circum-Antarctic fully-coupled 5-component model (v1.4.3) [Data set]. Zenodo. 10.5281/zenodo.5588468 Forcings : Pelletier, Charles, & Helsen, Samuel. (2021). PARASO ERA5 forcings (1.4.3) [Data set]. Zenodo. 10.5281/zenodo.5590053 Acknowledgements 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. Reference : 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), 10.24381/cds.adbb2d47. The sea-ice index (NSIDC-G02315) was downloaded on 01-09-2019 from the National Snow & Ice Data Center. Reference : 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. 10.7265/N5K072F8. Accessed on 01-SEP-2019. The World Ocean Atlas 2018 (WOA18): Reference: 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: Reference: Rignot, E., Jacobs, S., Mouginot, J., & Scheuchl, B. (2013). Ice-shelf melting around Antarctica (Supplementary Material) Science, 341(6143), 266-270. 10.1126/science.1235798. Reference: 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. 10.6075/J04Q7SHT JRA-55 reanalysis: Reference: 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, 10.2151/jmsj.2015-001 BedMachine Antarctic topography: Reference : 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). 10.1038/s41561-019-0510-8 Reference: 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: 10.5067/E1QL9HFQ7A8M (accessed 01-FEB-2020). : 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). Version 1.1: second GMD submission (after review). |
format |
Still Image |
author |
Pelletier, Charles |
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Pelletier, Charles Scripts and data for the PARASO Geoscientific Model Development paper figures |
author_facet |
Pelletier, Charles |
author_sort |
Pelletier, Charles |
title |
Scripts and data for the PARASO Geoscientific Model Development paper figures |
title_short |
Scripts and data for the PARASO Geoscientific Model Development paper figures |
title_full |
Scripts and data for the PARASO Geoscientific Model Development paper figures |
title_fullStr |
Scripts and data for the PARASO Geoscientific Model Development paper figures |
title_full_unstemmed |
Scripts and data for the PARASO Geoscientific Model Development paper figures |
title_sort |
scripts and data for the paraso geoscientific model development paper figures |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.5337519 https://zenodo.org/record/5337519 |
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ENVELOPE(-57.950,-57.950,-63.950,-63.950) ENVELOPE(-62.300,-62.300,-64.083,-64.083) ENVELOPE(-59.767,-59.767,-62.433,-62.433) ENVELOPE(-44.616,-44.616,-60.733,-60.733) ENVELOPE(-45.900,-45.900,-60.633,-60.633) ENVELOPE(-63.033,-63.033,-64.867,-64.867) ENVELOPE(-60.883,-60.883,-71.800,-71.800) ENVELOPE(-56.036,-56.036,-62.996,-62.996) ENVELOPE(-64.133,-64.133,-66.750,-66.750) ENVELOPE(-65.000,-65.000,-67.050,-67.050) ENVELOPE(-72.065,-72.065,-75.109,-75.109) ENVELOPE(-31.000,-31.000,-81.200,-81.200) |
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Antarctic Southern Ocean The Antarctic Ortega Moreno Dee Laurie Meier Ricardo Knowles Medley Muñoz Fricker Boyer Baranova |
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Antarctic Southern Ocean The Antarctic Ortega Moreno Dee Laurie Meier Ricardo Knowles Medley Muñoz Fricker Boyer Baranova |
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Antarc* Antarctic Antarctica Ice Sheet Ice Shelf Ice Shelves National Snow and Ice Data Center Sea ice Southern Ocean |
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Antarc* Antarctic Antarctica Ice Sheet Ice Shelf Ice Shelves National Snow and Ice Data Center Sea ice Southern Ocean |
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ftdatacite:10.5281/zenodo.5337519 2023-05-15T13:56:38+02:00 Scripts and data for the PARASO Geoscientific Model Development paper figures Pelletier, Charles 2021 https://dx.doi.org/10.5281/zenodo.5337519 https://zenodo.org/record/5337519 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5576201 https://dx.doi.org/10.5281/zenodo.5588468 https://dx.doi.org/10.5281/zenodo.5590053 https://dx.doi.org/10.5194/gmd-15-553-2022 https://dx.doi.org/10.24381/cds.adbb2d47 https://dx.doi.org/10.7265/n5k072f8 https://dx.doi.org/10.1126/science.1235798 https://dx.doi.org/10.6075/j04q7sht https://dx.doi.org/10.2151/jmsj.2015-001 https://dx.doi.org/10.1038/s41561-019-0510-8 https://dx.doi.org/10.5067/e1ql9hfq7a8m https://dx.doi.org/10.5281/zenodo.5337520 https://dx.doi.org/10.5281/zenodo.5763819 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Image Figure ImageObject graphic 2021 ftdatacite https://doi.org/10.5281/zenodo.5337519 https://doi.org/10.5281/zenodo.5576201 https://doi.org/10.5281/zenodo.5588468 https://doi.org/10.5281/zenodo.5590053 https://doi.org/10.5194/gmd-15-553-2022 https://doi.org/10.24381/cds.adbb2d47 https://d 2022-02-09T13:43:55Z Scripts and data for reproducing all figures from the PARASO model description paper. *.tex sources generate Tikz pdf figures calling pdflatex <input.tex> . they require a working LaTeX installation with some standard libraries (e.g. Tikz and others). *.py are python scripts generating figures. They require standard python libraires such as matplotlib, numpy, cartopy... Model description : 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., 15, 553–594, 10.5194/gmd-15-553-2022, 2022. Source code (no COSMO) : Pelletier, Charles, Klein, François, Zipf, Lars, Haubner, Konstanze, Mathiot, Pierre, Pattyn, Frank, Moravveji, Ehsan, & Vanden Broucke, Sam. (2021). PARASO source code (no COSMO) (v1.4.3). Zenodo. 10.5281/zenodo.5576201 Input data: Pelletier, Charles, Klein, François, Zipf, Lars, Vanden Broucke, Sam, Haubner, Konstanze, & Helsen, Samuel. (2021). Input data for PARASO, a circum-Antarctic fully-coupled 5-component model (v1.4.3) [Data set]. Zenodo. 10.5281/zenodo.5588468 Forcings : Pelletier, Charles, & Helsen, Samuel. (2021). PARASO ERA5 forcings (1.4.3) [Data set]. Zenodo. 10.5281/zenodo.5590053 Acknowledgements 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. Reference : 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), 10.24381/cds.adbb2d47. The sea-ice index (NSIDC-G02315) was downloaded on 01-09-2019 from the National Snow & Ice Data Center. Reference : 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. 10.7265/N5K072F8. Accessed on 01-SEP-2019. The World Ocean Atlas 2018 (WOA18): Reference: 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: Reference: Rignot, E., Jacobs, S., Mouginot, J., & Scheuchl, B. (2013). Ice-shelf melting around Antarctica (Supplementary Material) Science, 341(6143), 266-270. 10.1126/science.1235798. Reference: 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. 10.6075/J04Q7SHT JRA-55 reanalysis: Reference: 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, 10.2151/jmsj.2015-001 BedMachine Antarctic topography: Reference : 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). 10.1038/s41561-019-0510-8 Reference: 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: 10.5067/E1QL9HFQ7A8M (accessed 01-FEB-2020). : 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). Version 1.1: second GMD submission (after review). Still Image Antarc* Antarctic Antarctica Ice Sheet Ice Shelf Ice Shelves National Snow and Ice Data Center Sea ice Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Antarctic Southern Ocean The Antarctic Ortega ENVELOPE(-57.950,-57.950,-63.950,-63.950) Moreno ENVELOPE(-62.300,-62.300,-64.083,-64.083) Dee ENVELOPE(-59.767,-59.767,-62.433,-62.433) Laurie ENVELOPE(-44.616,-44.616,-60.733,-60.733) Meier ENVELOPE(-45.900,-45.900,-60.633,-60.633) Ricardo ENVELOPE(-63.033,-63.033,-64.867,-64.867) Knowles ENVELOPE(-60.883,-60.883,-71.800,-71.800) Medley ENVELOPE(-56.036,-56.036,-62.996,-62.996) Muñoz ENVELOPE(-64.133,-64.133,-66.750,-66.750) Fricker ENVELOPE(-65.000,-65.000,-67.050,-67.050) Boyer ENVELOPE(-72.065,-72.065,-75.109,-75.109) Baranova ENVELOPE(-31.000,-31.000,-81.200,-81.200) |