675 research outputs found
NEMO circum-Antarctic configuration for SAM sensitivity tests
No full textDescription paper: Verfaillie, D., Pelletier, C., Goosse, H. et al. The circum-Antarctic ice-shelves respond to a more positive Southern Annular Mode with regionally varied melting. Commun Earth Environ 3, 139 (2022). https://doi.org/10.1038/s43247-022-00458-x
NEMO, LIM and XIOS (a NEMO-compatible I/O library) are developed by the NEMO consortium, and distributed under the CeCILL license (included herein). The NEMO-LIM version used is a local fork springing from NEMO 3.6 (revision 6859) which includes the following modifications:
an undocumented lateral sea-ice melt scheme (J. Raulier, UCLouvain);
the ice-shelf coupling module from the revision 11248 of the dev_isf_remapping_UKESM_GO6package_r9314 NEMO development branch. Complete NEMO documentation is available from the NEMO consortium website.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)
PARASO source code (no COSMO)
No full textSource code for the PARASO Antarctic configuration, except the COSMO model (atmosphere), which is only accessible to CLM-Community members (free membership charge for all research applications). A full version of these sources, including the COSMO part, has been uploaded to the CLM-Community RedC under "Downloads" -> "COSMO-CLM".
Hence, these sources are provided for dicdactical purposes, not for running the full model (which requires COSMO).
Model described in:
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.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)
PARASO ERA5 forcings
No full textExternal forcings from ERA5, used for forcing the PARASO configuration. Due to their size, only three months are provided here (from 01-JAN-2000 to 31-MAR-2000), for testing purposes. The data should be uncompressed with the uncpr_paraso.sh script.
Model described in: 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. C. Pelletier, T. Fichefet, H. Goosse, K. Haubner, S. Helsen, P.-V. Huot, C. Kittel, F. Klein, S. Le clec'h, N. P. M. van Lipzig, S. Marchi, F. Massonnet, P. Mathiot, E. Moravveji, E. Moreno-Chamarro, P. Ortega, F. Pattyn, N. Souverijns, G. Van Achter, S. Vanden Broucke, D. Verfaillie, L. Zipf. Submitted to Geoscientific Model Development, 2021.
Model source code: 10.5281/zenodo.5337510
The ERA5 data (Hersbach, 2018) was downloaded on 01-SEP-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.
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., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1979 to present, https://doi.org/10.24381/cds.adbb2d47, downloaded from the Copernicus Climate Change Service (C3S); Climate Data Store (CDS) on 01-SEP-2019, 2018.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)
An additional step toward comprehensive paleoclimate reanalyses
No full textAlthough data assimilation in paleoclimatology has shown significant progress, the model data comparison step remains a limiting factor because paleoclimate (proxy) records have generally a complex response to both climatic and nonclimatic factors. In experiments performed in a controlled framework, Dee et al. (2016) have applied proxy system models that simulate tree ring width, isotopic composition of corals and isotopic composition of ice cores from the results of a climate model. The difference between those simulated variables and the value measured on the natural archive can then be computed directly, improving significantly the performance of the data assimilation method
Carbon cycle Degrees of climate feedback
No full textA probabilistic analysis of climate variation during the period AD 1050–1800 refines available estimates of the influence of temperature change on the concentration of carbon dioxide in the atmosphere
Simulated length of 71 Alpine glaciers over the last millennium using OGGM
No full text<p>This dataset contains the simulated length of 71 Alpine glaciers over the last millennium using the <a href="https://github.com/OGGM/oggm">version 1.0 of the Open Global Glacier Model</a> (OGGM) forced by global climate models (GCM) simulation outputs. For a description of the experimental design, see the associated publication:<br>
<br>
<a href="https://www.clim-past-discuss.net/cp-2018-48/">Goosse, H., Barriat, P.-Y., Dalaiden, Q., Klein, F., Marzeion, B., Maussion, F., Pelucchi, P. and Vlug, A.: Testing the consistency between changes in simulated climate and Alpine glacier length over the past millennium, Climate of the Past, 2018.</a><br>
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Each NetCDF file corresponds to OGGM driven by one climate model over the period 1000-2004 CE. The file names are based on the acronyms given in the Table 1 of the associated publication. The variables included in the NetCDF files are:<br>
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- g_length: Annual mean length of the glaciers, in meters<br>
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- ID_glacier: an identifier for each glacier, allowing to make the link to the names of the glaciers given in glacier_names.txt.<br>
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- time_year: the time in years CE<br>
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In order to remove high frequency variability associated with the presence of snow that may remain in summer at altitudes lower than the glacier front, a filter with a 5-year window has been applied on the OGGM outputs to obtain the results stored in g_length.</p>
<p>Please contact <a href="mailto:[email protected]">Hugues Goosse</a> for more information.</p>
Modelling the large-scale behaviour of the coupled ocean-sea-ice system
No full textDoctorat en sciences appliquées -- UCL, 199
Reconstructed and simulated temperature asymmetry between continents in both hemispheres over the last centuries
No full textAvailable proxy-based temperature reconstructions covering the past millennium display contrasted evolutions between the continents. The difference is particularly large between the two hemispheres. When driven by realistic natural and anthropogenic forcings, climate models tend to simulate a more spatially homogenous temperature response. This is associated with a relatively good agreement between model results and reconstructions in the Northern Hemisphere but a low consistency in the Southern Hemisphere. Here, simulations with data assimilations are performed to analyse the causes of this apparent disagreement. It shows that, when the uncertainties are taken into account, states of the climate system compatible with the forcing estimates, the reconstructions and the model physics can be obtained over the past millennium, except for the twentieth century in Antarctica where the simulated warming is always much larger than in the reconstructions.Such states consistent with all sources of information can be achieved even if the uncertainties of the reconstructions are underestimated. Although, well within the range of the proxy-based reconstructions, the temperatures obtained after data assimilation display more similar developments between the hemispheres than in those reconstructions. Ensuring the compatibility does not require to systematically reduce the model response to the forcing or to strongly enhance the model internal variability. From those results, there is thus no reason to suspect that the model is strongly based in one aspect or another. The constraint imposed by the data assimilation is too low to unambiguously identify the origin of each feature displayed in the reconstructions but, as expected, changes in atmospheric circulation likely played a role in many of them. Furthermore, ocean heat uptake and release as well as oceanic heat transport are key elements to understand the delayed response of the Southern Hemisphere compared to the northern one during some transitions from warmer to colder states or from colder to warmer ones. The last millennium is thus an interesting test period to better understand and quantify the associated mechanisms
Simulating tree growth response to climate change in structurally diverse oak and beech forests
No full text- …
