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2. Global climate modeling of Saturn's atmosphere. Part II: multi-annual high-resolution dynamical simulations

Author

Spiga, Aymeric, Guerlet, Sandrine, Millour, Ehouarn, Indurain, Mikel, Meurdesoif, Yann, Cabanes, Simon, Dubos, Thomas, Leconte, Jérémy, Boissinot, Alexandre, Lebonnois, Sébastien, Sylvestre, Mélody, and Fouchet, Thierry

Subjects
Astrophysics - Earth and Planetary Astrophysics, Physics - Atmospheric and Oceanic Physics
Abstract

The Cassini mission unveiled the intense and diverse activity in Saturn's atmosphere: banded jets, waves, vortices, equatorial oscillations. To set the path towards a better understanding of those phenomena, we performed high-resolution multi-annual numerical simulations of Saturn's atmospheric dynamics. We built a new Global Climate Model [GCM] for Saturn, named the Saturn DYNAMICO GCM, by combining a radiative-seasonal model tailored for Saturn to a hydrodynamical solver based on an icosahedral grid suitable for massively-parallel architectures. The impact of numerical dissipation, and the conservation of angular momentum, are examined in the model before a reference simulation employing the Saturn DYNAMICO GCM with a $1/2^{\circ}$ latitude-longitude resolution is considered for analysis. Mid-latitude banded jets showing similarity with observations are reproduced by our model. Those jets are accelerated and maintained by eddy momentum transfers to the mean flow, with the magnitude of momentum fluxes compliant with the observed values. The eddy activity is not regularly distributed with time, but appears as bursts; both barotropic and baroclinic instabilities could play a role in the eddy activity. The steady-state latitude of occurrence of jets is controlled by poleward migration during the spin-up of our model. At the equator, a weakly-superrotating tropospheric jet and vertically-stacked alternating stratospheric jets are obtained in our GCM simulations. The model produces Yanai (Rossby-gravity), Rossby and Kelvin waves at the equator, as well as extratropical Rossby waves, and large-scale vortices in polar regions. Challenges remain to reproduce Saturn's powerful superrotating jet and hexagon-shaped circumpolar jet in the troposphere, and downward-propagating equatorial oscillation in the stratosphere., Comment: 68 pages, 23 figures, published in Icarus https://doi.org/10.1016/j.icarus.2019.07.011

Published
2018
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3. Leveraging RALI‐THINICE Observations to Assess How the ICOLMDZ Model Simulates Clouds Embedded in Arctic Cyclones.

Author

Raillard, Lea, Vignon, Étienne, Rivière, Gwendal, Madeleine, Jean‐Baptiste, Meurdesoif, Yann, Delanoë, Julien, Caubel, Arnaud, Jourdan, Olivier, Baudoux, Antoine, Fromang, Sébastien, and Conesa, Philippe

Abstract

Despite their essential role in the high‐latitude climate, the representation of mixed‐phase clouds is still a challenge for Global Climate Models (GCMs)'s cloud schemes. In this study we propose a methodology for robustly assessing Arctic mixed‐phase cloud properties in a climate model using airborne measurements. We leverage data collected during the RALI‐THINICE airborne campaign that took place near Svalbard in August 2022 to evaluate the simulation of mid‐level clouds associated with Arctic cyclones. Simulations are carried out with the new limited‐area configuration of the ICOLMDZ model which combines the recent icosahedral dynamical core DYNAMICO and the physics of LMDZ, the atmospheric component of the IPSL‐CM Earth System Model. Airborne radar and microphysical probes measurements are then used to evaluate the simulated clouds. A comparison method has been set‐up to guarantee as much as possible the spatiotemporal co‐location between observed and simulated cloud fields. We mostly focus on the representation of ice and liquid in‐cloud contents and on their vertical distribution. Results show that the model overestimates the amount of cloud condensates and exhibits a poor cloud phase spatial distribution, with too much liquid water far from cloud top and too much ice close to it. The downward gradual increase in snowfall flux is also not captured by the model. This in‐depth model evaluation thereby pinpoints priorities for further improvements in the ICOLMDZ cloud scheme. Plain Language Summary: Mixed‐phase clouds, where ice crystals and supercooled liquid droplets coexist at sub‐zero temperatures, are ubiquitous in the polar regions. Albeit essential for the high‐latitude climate, they are still poorly represented by climate models. In this study, original measurements from the RALI‐THINICE airborne campaign, which took place in the Svalbard region in August 2022, are used to assess how the ICOLMDZ atmospheric model represents Arctic mixed phase clouds. A methodology is developed to make robust and co‐located model‐aircraft observation comparisons. In situ cloud probes and onboard radars are then used to evaluate the simulated amounts of liquid water and ice in clouds as well as the snowfall flux in deep clouds associated with the transit of Arctic cyclones. The results of the model evaluation show an overall overestimation of cloud condensates with too much liquid water far from cloud top and too much ice close to it. Key Points: Airborne RALI‐THINICE observations are used to evaluate Arctic clouds in the new limited area version of the ICOLMDZ modelA methodology has been developed to make robust and co‐located model‐observation comparisonsICOLMDZ simulates overly high amounts of liquid and ice in clouds particularly near cloud top [ABSTRACT FROM AUTHOR]

Published
2024
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4. The CHIMERE chemistry-transport model v2023r1.

Author

Menut, Laurent, Cholakian, Arineh, Pennel, Romain, Siour, Guillaume, Mailler, Sylvain, Valari, Myrto, Lugon, Lya, and Meurdesoif, Yann

Subjects
LEAF area index, MINERAL dusts, WIND speed, RAGWEEDS, POLLEN
Abstract

A new version of the CHIMERE model is presented. This version contains both computational and physico-chemical changes. The computational changes make it easy to choose the variables to be extracted as a result, including values of maximum sub-hourly concentrations. Performance tests show that the model is 1.5 to 2 times faster than the previous version for the same setup. Processes such as turbulence, transport schemes and dry deposition have been modified and updated. Optimization was also performed for the management of emissions such as anthropogenic and mineral dust. The impact of fires on wind speed, soil properties and leaf area index (LAI) was added. Pollen emissions, transport and deposition were added for birch, ragweed, olive and grass. The model is validated with a simulation covering Europe with a 60 km × 60 km resolution and the entire year of 2019. Results are compared to various measurements, and statistical scores show that the model provides better results than the previous versions. [ABSTRACT FROM AUTHOR]

Published
2024
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5. The CHIMERE chemistry-transport model v2023r1

Author

Menut, Laurent, primary, Cholakian, Arineh, additional, Pennel, Romain, additional, Siour, Guillaume, additional, Mailler, Sylvain, additional, Valari, Myrto, additional, Lugon, Lya, additional, and Meurdesoif, Yann, additional

Published
2024
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6. DCMIP2016: the tropical cyclone test case.

Author

Willson, Justin L., Reed, Kevin A., Jablonowski, Christiane, Kent, James, Lauritzen, Peter H., Nair, Ramachandran, Taylor, Mark A., Ullrich, Paul A., Zarzycki, Colin M., Hall, David M., Dazlich, Don, Heikes, Ross, Konor, Celal, Randall, David, Dubos, Thomas, Meurdesoif, Yann, Chen, Xi, Harris, Lucas, Kühnlein, Christian, and Lee, Vivian

Subjects
TROPICAL cyclones, GENERAL circulation model, SURFACE pressure, WIND speed, WIND pressure
Abstract

This paper describes and analyzes the Reed–Jablonowski (RJ) tropical cyclone (TC) test case used in the 2016 Dynamical Core Model Intercomparison Project (DCMIP2016). This intermediate-complexity test case analyzes the evolution of a weak vortex into a TC in an idealized tropical environment. Reference solutions from nine general circulation models (GCMs) with identical simplified physics parameterization packages that participated in DCMIP2016 are analyzed in this study at 50 km horizontal grid spacing, with five of these models also providing solutions at 25 km grid spacing. Evolution of minimum surface pressure (MSP) and maximum 1 km azimuthally averaged wind speed (MWS), the wind–pressure relationship, radial profiles of wind speed and surface pressure, and wind composites are presented for all participating GCMs at both horizontal grid spacings. While all TCs undergo a similar evolution process, some reach significantly higher intensities than others, ultimately impacting their horizontal and vertical structures. TCs simulated at 25 km grid spacings retain these differences but reach higher intensities and are more compact than their 50 km counterparts. These results indicate that dynamical core choice is an essential factor in GCM development, and future work should be conducted to explore how specific differences within the dynamical core affect TC behavior in GCMs. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Pre-exascale Architectures: OpenPOWER Performance and Usability Assessment for French Scientific Community

Author

Hautreux, Gabriel, Buttari, Alfredo, Beck, Arnaud, Cameo, Victor, Lecas, Dimitri, Aubert, Dominique, Brun, Emeric, Boyer, Eric, Malvagi, Fausto, Staffelbach, Gabriel, d’Ast, Isabelle, Legaux, Joeffrey, Lartigue, Ghislain, Grasseau, Gilles, Latu, Guillaume, Escobar, Juan, Bigot, Julien, Derouillat, Julien, Haefele, Matthieu, Renon, Nicolas, Parnaudeau, Philippe, Wautelet, Philippe, Lavallee, Pierre-Francois, Kestener, Pierre, Lacroix, Remi, Requena, Stephane, Scemama, Anthony, Moureau, Vincent, Etancelin, Jean-Matthieu, Meurdesoif, Yann, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kunkel, Julian M., editor, Yokota, Rio, editor, Taufer, Michela, editor, and Shalf, John, editor

Published
2017
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10. DCMIP2016: the tropical cyclone test case

Author

Willson, Justin L., primary, Reed, Kevin A., additional, Jablonowski, Christiane, additional, Kent, James, additional, Lauritzen, Peter H., additional, Nair, Ramachandran, additional, Taylor, Mark A., additional, Ullrich, Paul A., additional, Zarzycki, Colin M., additional, Hall, David M., additional, Dazlich, Don, additional, Heikes, Ross, additional, Konor, Celal, additional, Randall, David, additional, Dubos, Thomas, additional, Meurdesoif, Yann, additional, Chen, Xi, additional, Harris, Lucas, additional, Kühnlein, Christian, additional, Lee, Vivian, additional, Qaddouri, Abdessamad, additional, Girard, Claude, additional, Giorgetta, Marco, additional, Reinert, Daniel, additional, Miura, Hiroaki, additional, Ohno, Tomoki, additional, and Yoshida, Ryuji, additional

Published
2023
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11. Simulating the variations of carbon dioxide in the global atmosphere on the hexagonal grid of DYNAMICO coupled with the LMDZ6 model.

Author

Lloret, Zoé, Chevallier, Frédéric, Cozic, Anne, Remaud, Marine, and Meurdesoif, Yann

Subjects
ATMOSPHERIC carbon dioxide, GENERAL circulation model, CARBON cycle, DIGITAL filters (Mathematics), ATMOSPHERIC models, ATMOSPHERE, QUASI-biennial oscillation (Meteorology)
Abstract

Efforts to monitor the emissions and absorptions of atmospheric carbon dioxide (CO2) over the globe and to understand their varying regional patterns with greater accuracy have intensified in recent years. This study evaluates the performance of a new model coupling, ICO, built around the Laboratoire de Météorologie Dynamique atmospheric general circulation model (LMDZ) for simulating CO2 transport. ICO utilizes the new icosahedral hydrostatic dynamical core called Dynamico running on an unstructured grid, which enables potential improvements in spatial resolution at the Equator while removing artificial distortions and numerical filters at the poles. Comparisons with a reference configuration using a structured latitude-longitude grid reveal that ICO well captures seasonal variations in CO2 concentrations at surface stations. While not significantly enhancing the capture of complex seasonal patterns, ICO maintains comparable accuracy. Both configurations exhibit similar vertical CO2 concentration profiles and display a consistent bias in the lower stratosphere relative to observational data. ICO demonstrates advantages in computational efficiency and storage, thanks to its reduced cell count per level and a homogeneous grid structure. It holds promise for future developments, including with the LMDZ offline model and associated inversion system, which contribute to the Copernicus Atmosphere Monitoring Service. Overall, the ICO configuration showcases the efficacy of utilizing an unstructured grid for the physics, and the capability of Dynamico in accurately simulating CO2 transport. This study emphasizes the importance of advanced modeling approaches and high-resolution innovative grids in enhancing our understanding of the global carbon cycle and refining climate models. [ABSTRACT FROM AUTHOR]

Published
2023
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12. Scalability on pre-exascale EuroHPC systems - Deliverable D1.3

Author

Dueben, Peter, Duras, Julia, Hatfield, Samuel, Bricaud, Clement, Caubel, Arnaud, Meurdesoif, Yann, Ly, Mouhamadou, Fladrich, Uwe, Castrillo, Miguel, and Budich, Reinhard

Subjects
ESiWACE2, Centre of Excellence in Simulation of Weather and Climate in Europe Phase 2, ESiWACE
Abstract

The central objectives of Work Package 1 of ESiWACE2 is to develop and run coupled model simulations at a resolution as high as possible and with a throughput rate of at least one simulated year per day (1 SYPD) producing full model output. This throughput would be sufficient to use these simulations for operational weather predictions and potentially also to run the models for a couple of decades, to address scientific questions that are related to climate change. Four model configurations are considered: EC-Earth with OpenIFS coupled to NEMO, the Integrated Forecasting System (IFS) coupled to NEMO, the ICON model with both atmosphere and ocean, the DYNAMICO model coupled to NEMO, covering both weather and climate configurations as well as well-established models and models that are currently under development. Furthermore, ocean-only simulations with the NEMO models are also pushed to very high spatial resolution (1/36 ◦ ; ∼3 km). According to the initial plan, the main aim of this deliverable was to perform scalability tests on the pre-exascale EuroHPC systems. However, this was impossible as these machines are only just becoming available. The deliverable is therefore focusing on the ongoing work to make the models more efficient and to enable the porting of the codes to heterogeneous hardware. As the European pre-exascale machines were not available, some tests of the models on other European HPC systems and some of the world’s fastest supercomputers (Summit and Fugaku) are also documented. Furthermore, the work on the treatment of output from ensemble simulations using XIOS that was moved from Deliverable D1.1 is also documented here, showing the successful use of XIOS to generate ensemble model output straight from ensemble simulations., ESiWACE2 stands for Centre of Excellence in Simulation of Weather and Climate in Europe Phase 2. ESiWACE2 is funded by the European Union's Horizon 2020 research and innovation programme (H2020-INFRAEDI-2018-1 call) under grant agreement 823988.

Published
2023
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13. Using XIOS to manage ensemble simulations with the IPSL-ESM model

Author

Caubel, Arnaud and Meurdesoif, Yann

Abstract

Ensemble simulations are used to better estimate the uncertainty of climate model results. The production of ensemble simulations with current IPSL model requires to run independently as many simulations as there are members in the ensemble, producing a very large number of inodes as a consequence of writing files for each member. In 2022, we have developed a functionality that allows several simulations to be carried out simultaneously, all simulation writing its results in a common single file. This new functionality has required developments in IPSL's XIOS IO server (in its version 2) in order to handle an additional "ensemble" dimension in the result file, as well as in OASIS coupler to provide MPI inter-communicators for all of the coupled members. The IPSL libIGCM runtime environment library was also adapted to manage efficiently the use of different types of files (forcing, parameters, restart, results) by several members within the same computing job. This job allows now "by itself" to simultaneously perform simulations of several members of an ensemble. The number of files resulting from these ensemble simulations matches (without any post-processing step) with criteria required by computing centers filesystems. Finally, the results of all the members of an ensemble are available in a single file, thus facilitating statistical processing and scientific analysis. This development is used in several IPSL scientific applications : the reconstruction of paleoclimate and historical periods by data assimilation methods and the simulation of extreme events (heat waves) in Western Europe.

Published
2023
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17. Data Handling Software Documentation and Roadmap - Deliverable D4.3

Author

Lawrence, Bryan, Kunkel, Julian, Cole, Jeff, Lister, Grenville, Pedro, Luciana, Wilson, Simon, McKinstry, Alistair, Massey, Neil, and Meurdesoif, Yann

Subjects
ESiWACE2, Centre of Excellence in Simulation of Weather and Climate in Europe Phase 2, ESiWACE
Abstract

Managing data from modern high resolution weather and climate simulations is becoming problematic. Here we present a summary of some of the middleware software developed within ESiWACE2 to help manage the deluge of data during and after simulations. Middleware is software that lies between the computer, network, storage fabric and the scientific code that exploits that fabric. The objective of the middleware developed here is to exploit some of the scientific knowledge we have about our data to more efficiently use the underlying fabric. To that end, we present a description of two classes of software which we have developed and/or improved during ESiWACE2: (1) Tools for in-flight analysis of ensembles of simulation which ideally can support cross-ensemble calculations, avoiding the need for writing all variables all the time or at analysis frequency for all ensemble members to disk; and (2) Middleware for managing writing data to disk and managing the migration of data through storage tiers. The particular products we discuss are XIOS and it’s ensemble analysis tools, the Earth System Data Middleware (ESDM), the Near Line Data System (NLDS) and tools which exploit the Climate-Forecast Aggregation conventions (CFA-C, CFA-Python, CFA-CPP and CFStore). Not all of these pieces of software are feature complete, but for each we discuss their current status, where to find code and documentation, and their roadmap to the future., ESiWACE2 stands for Centre of Excellence in Simulation of Weather and Climate in Europe Phase 2. ESiWACE2 is funded by the European Union's Horizon 2020 research and innovation programme (H2020-INFRAEDI-2018-1 call) under grant agreement 823988.

Published
2023
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18. Report on services offered on IO, coupling and workflow - Deliverable D3.3

Author

Valcke, Sophie, Masonnave, Eric, Meurdesoif, Yann, and Matthews, David

Subjects
Cylc, OASIS, XIOS, ESiWACE2, Centre of Excellence in Simulation of Weather and Climate in Europe Phase 2
Abstract

Task 3.3 from work package 3 “Service 2: Coupling, IO and workflows” offered to the weather and climate modelling community dedicated support to optimally use the following community tools: the OASIS3-MCT coupler, the XIOS IO server, and the Cylc workflow engine. Regarding OASIS3-MCT, support was granted to the Nansen Environmental and Remote Sensing Center (NERSC, Norway) to implement a coupling between an ocean global configuration and two hemispheric sea ice models, setting the basis of a future NEMO-neXtSIM ocean/sea-ice coupled model. Support was also offered to the UK Meteorological Office (Met Office) to start the development of a 3D coupling between NEMO and the MEDUSA biogeochemistry module. Regarding XIOS, the support provided to the UK Met Office resulted in improved support for unstructured grid in XIOS, directly benefiting the next-generation atmospheric model LFRIC. Also, improvement of XIOS input functionality was realised in support of Mercator Océan (France), motivated by the need to efficiently ead in higher-frequency higher-resolution ERA5 reanalysis fields. Finally, Cylc developers helped two groups one at the Interdisciplinary Centre for Mathematical and Computational Modelling (ICM) in Poland and one at the National Centre for Atmospheric Science (NCAS) in UK, to use more efficiently the Cylc workflow engine in their respective Earth System Model and, for NCAS, to port it on a new architecture (ARCHER2)., ESiWACE2 stands for Centre of Excellence in Simulation of Weather and Climate in Europe Phase 2. ESiWACE2 is funded by the European Union's Horizon 2020 research and innovation programme (H2020-INFRAEDI-2018-1 call) under grant agreement 823988.

Published
2023
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19. DCMIP2016: the tropical cyclone test case.

Author

Willson, Justin L., Reed, Kevin A., Jablonowski, Christiane, Kent, James, Lauritzen, Peter H., Nair, Ramachandran, Taylor, Mark A., Ullrich, Paul A., Zarzycki, Colin M., Hall, David M., Dazlich, Don, Heikes, Ross, Konor, Celal, Randall, David, Dubos, Thomas, Meurdesoif, Yann, Xi Chen, Harris, Lucas, Kühnlein, Christian, and Lee, Vivian

Subjects
TROPICAL cyclones, GENERAL circulation model, SURFACE pressure, WIND speed, WIND pressure
Abstract

This paper describes and analyzes the Reed-Jablonowski (RJ) tropical cyclone (TC) test case used in the 2016 Dynamical Core Model Intercomparison Project (DCMIP2016). The intermediate complexity test case analyzes the evolution of a weak vortex into a TC in an idealized tropical environment. Simulations from general circulation models (GCMs) that participated in DCMIP2016 are analyzed in this study at 50 km horizontal grid spacing, with 5 of these models also providing simulations at 25 5 km grid spacing for an analysis on the impact of finer grid spacing. Evolution of minimum surface pressure (MSP) and maximum 1 km azimuthally averaged wind speed (MWS), the wind-pressure relationship, radial profiles of wind speed and surface pressure, and wind composites are documented for all participating GCMs at both horizontal grid spacings. While results are generally similar between all models, some GCMs reach significantly higher storm intensities than others, ultimately impacting specific characteristics of their horizontal and vertical structure. TCs simulated at 25 km grid spacings retained these differences, but reach higher intensities and are more compact than their 50 km counterparts. These results indicate dynamical core choice is an essential factor in GCM development, and future work should be conducted to explore how specific differences within the dynamical core affect TC behavior in GCMs. [ABSTRACT FROM AUTHOR]

Published
2023
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20. Presentation and Evaluation of the IPSL-CM6A-LR Climate Model

Author

Boucher, Olivier, Servonnat, Jérôme, Albright, Anna Lea, Aumont, Olivier, Balkanski, Yves, Bastrikov, Vladislav, Bekki, Slimane, Bonnet, Rémy, Bony, Sandrine, Bopp, Laurent, Braconnot, Pascale, Brockmann, Patrick, Cadule, Patricia, Caubel, Arnaud, Cheruy, Frédérique, Codron, Francis, Cozic, Anne, Cugnet, David, d'Andrea, Fabio, Davini, Paolo, de Lavergne, Casimir, Denvil, Sébastien, Deshayes, Julie, Devilliers, Marion, Ducharne, Agnès, Dufresne, Jean-Louis, Dupont, Eliott, Éthé, Christian, Fairhead, Laurent, Falletti, Lola, Flavoni, Simona, Foujols, Marie-Alice, Gardoll, Sébastien, Gastineau, Guillaume, Ghattas, Josefine, Grandpeix, Jean-Yves, Guenet, Bertrand, Guez, Lionel, Guilyardi, Éric, Guimberteau, Matthieu, Hauglustaine, Didier, Hourdin, Frédéric, Idelkadi, Abderrahmane, Joussaume, Sylvie, Kageyama, Masa, Khodri, Myriam, Krinner, Gerhard, Lebas, Nicolas, Levavasseur, Guillaume, Lévy, Claire, Li, Laurent, Lott, François, Lurton, Thibaut, Luyssaert, Sebastiaan, Madec, Gurvan, Madeleine, Jean-Baptiste, Maignan, Fabienne, Marchand, Marion, Marti, Olivier, Mellul, Lidia, Meurdesoif, Yann, Mignot, Juliette, Musat, Ionela, Ottle, Catherine, Peylin, Philippe, Planton, Yann, Polcher, Jan, Rio, Catherine, Rochetin, Nicolas, rousset, clement, Rousset, Clément, Sepulchre, Pierre, Sima, Adriana, Swingedouw, Didier, Thiéblemont, Rémi, Traore, Abdoul Khadre, Vancoppenolle, Martin, Vial, Jessica, Vialard, Jérôme, Viovy, Nicolas, Vuichard, Nicolas, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Nucleus for European Modeling of the Ocean (NEMO R&D ), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Modélisation du climat (CLIM), Calcul Scientifique (CALCULS), Océan et variabilité du climat (VARCLIM), Istituto di Scienze dell'Atmosfera e Del Clima [Torino] (isac), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Environnements et Paléoenvironnements OCéaniques (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - 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ENS Paris, École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut national des sciences de l'Univers (INSU - CNRS)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Sorbonne Université (SU), École normale supérieure - Paris (ENS Paris)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), École normale supérieure - Paris (ENS Paris), Consiglio Nazionale delle Ricerche (CNR), UMR 5805 Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-École pratique des hautes études (EPHE)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Univers et Particules de Montpellier (LUPM), Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), MOSAIC (MOSAIC), Institut FRESNEL (FRESNEL), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - 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CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), and Systems Ecology

Subjects
010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, 010502 geochemistry & geophysics, climate model, IPSL‐CM6A‐LR, 01 natural sciences, Carbon cycle, lcsh:Oceanography, climate metrics, Range (statistics), SDG 13 - Climate Action, Environmental Chemistry, lcsh:GC1-1581, Precipitation, lcsh:Physical geography, ComputingMilieux_MISCELLANEOUS, CMIP6, 0105 earth and related environmental sciences, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Global and Planetary Change, Coupled model intercomparison project, Intertropical Convergence Zone, 13. Climate action, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Climatology, Middle latitudes, General Earth and Planetary Sciences, Environmental science, Climate sensitivity, climate sensitivity, Climate model, lcsh:GB3-5030, IPSL-CM6A-LR
Abstract

International audience This study presents the global climate model IPSL-CM6A-LR developed at Institut Pierre-Simon Laplace (IPSL) to study natural climate variability and climate response to natural and anthropogenic forcings as part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6). This article describes the different model components, their coupling, and the simulated climate in comparison to previous model versions. We focus here on the representation of the physical climate along with the main characteristics of the global carbon cycle. The model's climatology, as assessed from a range of metrics (related in particular to radiation, temperature, precipitation, and wind), is strongly improved in comparison to previous model versions. Although they are reduced, a number of known biases and shortcomings (e.g., double Intertropical Convergence Zone [ITCZ], frequency of midlatitude wintertime blockings, and El Niño–Southern Oscillation [ENSO] dynamics) persist. The equilibrium climate sensitivity and transient climate response have both increased from the previous climate model IPSL-CM5A-LR used in CMIP5. A large ensemble of more than 30 members for the historical period (1850–2018) and a smaller ensemble for a range of emissions scenarios (until 2100 and 2300) are also presented and discussed.

Published
2020

21. Production-mode simulation with NEMO, ICON-ESM, ECMWF, EC-Earth, IPSL model - Milestone MS2

Author

Dueben, Peter, Serradell, Kim, Castrillo, Miguel, Valcke, Sophie, Caubel, Arnaud, Meurdesoif, Yann, Duras, Julia, Frauen, Claudia, Ziemen, Florian, Adamidis, Panos, Hatfield, Sam, Budich, Reinhard, Klocke, Daniel, Bricaud, Clément, and Fladrich, Uwe

Subjects
weather, hpc, ESiWACE2, ESiWACE, climate
Abstract

We have documented the current progress during the implementation of the production mode simulations on supercomputers of the consortium in deliverable D1.1 (https://zenodo.org/record/5795991) which is submitted together with this Milestone document. The model development teams are making good progress when preparing the model configurations for the pre-exacscale EuroHPC systems. We now hope to be able to get access to those machines soon, to make the final scalability tests in 2022.

Published
2021
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22. La modélisation du climat: défis et opportunités

Author

Kageyama, Masa, Boucher, Olivier, Meurdesoif, Yann, Joussaume, Sylvie, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Modélisation du climat (CLIM), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Calcul Scientifique (CALCULS), Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS-PSL), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
Abstract

International audience; Usages 18-Le numérique de puissance Les voix de la recherche-#73-Clefs Recherche fondamentale Usages Clefs-#73-Les voix de la recherche Le numérique de puissance-19

Published
2021

24. IPSL-CM5A2 – an Earth system model designed for multi-millennial climate simulations

Author

Sepulchre, Pierre, primary, Caubel, Arnaud, additional, Ladant, Jean-Baptiste, additional, Bopp, Laurent, additional, Boucher, Olivier, additional, Braconnot, Pascale, additional, Brockmann, Patrick, additional, Cozic, Anne, additional, Donnadieu, Yannick, additional, Dufresne, Jean-Louis, additional, Estella-Perez, Victor, additional, Ethé, Christian, additional, Fluteau, Frédéric, additional, Foujols, Marie-Alice, additional, Gastineau, Guillaume, additional, Ghattas, Josefine, additional, Hauglustaine, Didier, additional, Hourdin, Frédéric, additional, Kageyama, Masa, additional, Khodri, Myriam, additional, Marti, Olivier, additional, Meurdesoif, Yann, additional, Mignot, Juliette, additional, Sarr, Anta-Clarisse, additional, Servonnat, Jérôme, additional, Swingedouw, Didier, additional, Szopa, Sophie, additional, and Tardif, Delphine, additional

Published
2020
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25. LMDZ6A: The Atmospheric Component of the IPSL Climate Model With Improved and Better Tuned Physics

Author

Hourdin, Frédéric, primary, Rio, Catherine, additional, Grandpeix, Jean‐Yves, additional, Madeleine, Jean‐Baptiste, additional, Cheruy, Frédérique, additional, Rochetin, Nicolas, additional, Jam, Arnaud, additional, Musat, Ionela, additional, Idelkadi, Abderrahmane, additional, Fairhead, Laurent, additional, Foujols, Marie‐Alice, additional, Mellul, Lidia, additional, Traore, Abdoul‐Khadre, additional, Dufresne, Jean‐Louis, additional, Boucher, Olivier, additional, Lefebvre, Marie‐Pierre, additional, Millour, Ehouarn, additional, Vignon, Etienne, additional, Jouhaud, Jean, additional, Diallo, F. Bint, additional, Lott, François, additional, Gastineau, Guillaume, additional, Caubel, Arnaud, additional, Meurdesoif, Yann, additional, and Ghattas, Josefine, additional

Published
2020
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26. IPSL-CM5A2. An Earth System Model designed for multi-millennial climate simulations

Author

Sepulchre, Pierre, primary, Caubel, Arnaud, additional, Ladant, Jean-Baptiste, additional, Bopp, Laurent, additional, Boucher, Olivier, additional, Braconnot, Pascale, additional, Brockmann, Patrick, additional, Cozic, Anne, additional, Donnadieu, Yannick, additional, Estella-Perez, Victor, additional, Ethé, Christian, additional, Fluteau, Frédéric, additional, Foujols, Marie-Alice, additional, Gastineau, Guillaume, additional, Ghattas, Josefine, additional, Hauglustaine, Didier, additional, Hourdin, Frédéric, additional, Kageyama, Masa, additional, Khodri, Myriam, additional, Marti, Olivier, additional, Meurdesoif, Yann, additional, Mignot, Juliette, additional, Sarr, Anta-Clarisse, additional, Servonnat, Jérôme, additional, Swingedouw, Didier, additional, Szopa, Sophie, additional, and Tardif, Delphine, additional

Published
2019
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27. Exploring the Internal Structures of hot Jupiters using the GCM DYNAMICO: Deep, Hot, Adiabats as a Possible Solution to the Radius Inflation Problem

Author

Sainsbury-Martinez, Felix, Wang, Pascal, Fromang, Sebastian, Tremblin, Pascal, Dubos, Thomas, Meurdesoif, Yann, Leconte, J., Spiga, Aymeric, Baraffe, Isabelle, Mayne, Nathan, Debras, Florian, Chabrier, Gilles, Drummond, Ben, Maison de la Simulation (MDLS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ECLIPSE 2019, Laboratoire d'Astrophysique de Bordeaux [Pessac] (LAB), Université de Bordeaux (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche Astrophysique de Lyon (CRAL), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), School of Physics and Astronomy [Exeter], University of Exeter, Centre National de la Recherche Scientifique (CNRS)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École des Ponts ParisTech (ENPC)-École polytechnique (X)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)

Subjects
[SDU.ASTR.EP]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP], Astrophysics::Earth and Planetary Astrophysics
Abstract

International audience; The anomalously large radii of highly irradiated exoplanets have long remained a mystery to the Exoplanetary community, with many different solutions suggested and tested. These solutions have included tidal heating of the atmosphere, or ohmic heating from a strong magnetic field. Another solution was also suggested by Tremblin et Al. (2017): The inflated radii of highly irradiated exoplanets can be explained by the advection of potential temperature, via mass and longitudinal momentum conservation, leads to the deep atmosphere attaching to a hotter adiabat than would be suggested by 1D models, thus implying an inflated radius. In that paper this mechanism was tested using 2D steady-state models, and successfully reproduced an inflated HD209458b scenario. Here we extend this work to both the time-dependent and 3D regimes using the GCM Dynamico (Itself developed as a new dynamical core for LMD-Z, and verified against Hot Jupiter benchmarks as part of this work), exploring the evolution of the deep P-T profile, and the stability of a deep adiabat as the steady state solution. As a result of these calculations we confirm that a deep, hot, adiabat is both the target of long term evolution of the deep atmosphere, and is stable against typical forcing expected at deep pressures — we also note that this deep adiabat takes a very significant time to form from an isothermal initial condition (hence why it has not previously been seen in GCM simulations beyond a kink in the deep profile), and suggest that future GCM models should use an adiabatic profile to initialise the deep atmosphere. Taken as a whole, our results confirm the theory of Tremblin et Al. (2017): the inflated radii of highly irradiated exoplanets can be explained by connecting the atmosphere with a deep, hot, internal adiabat.

Published
2019

28. Multithreaded XIOS version adapted to many‐core architectures, and supporting GRIB2 format (D2.4)

Author

Wang, Yushan and Meurdesoif, Yann

Subjects
XIOS
Abstract

The developments realised in XIOS to extend its parallel efficiency by adding multithreading capacity are presented. These will be available to users in the next release XIOS‐3 planned for summer 2019. The heavy workflow generated by the climate models and the hybrid architecture of modern computers require the XIOS library to extend its parallelism to the thread level. With this motivation, we developed a portable multithreaded interface for XIOS based on the concept of MPI endpoints. The multithreaded version of XIOS was developed and then integrated and tested in the LMDZ model. The performance report of the multithreaded XIOS is detailed in this deliverable. We also present in the appendix the detailed multithreaded interface., ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

Published
2018
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29. Dossier technique IPSL : Demande d’allocation de temps de calcul pour DARI A5

Author

Foujols, Marie‐Alice, Caubel, Arnaud, Denvil, Sébastien, Boucher, Olivier, Cozic, Anne, Ethé, C., Ghattas, Josephine, Marti, Olivier, Meurdesoif, Yann, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Calcul Scientifique (CALCULS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID), Modélisation du climat (CLIM), IPSL, Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
Published
2018

30. Le climat à découvert

Author

Ablain, Michaël, Allard, Patrick, Anquetin, Sandrine, Balkanski, Yves, Bard, Édouard, Bekki, Slimane, Berthier, Étienne, Blamart, Dominique, Blard, Pierre-Henri, Blay, Michel, Blayo, Éric, Bony, Sandrine, Bopp, Laurent, Braconnot, Pascale, Brenguier, Jean-Louis, Bustarret, Étienne, Cadule, Patricia, Cassou, Christophe, Cazenave, Anny, Céron, Jean-Pierre, Chappellaz, Jérôme, Chauvaud, Laurent, Ciais, Philippe, Codron, Francis, Corrège, Thierry, Cortijo, Elsa, Cottet, Georges-Henri, Criqui, Patrick, Dandin, Philippe, Daux, Valérie, Davin, Édouard, Decharme, Bertrand, Delcroix, Thierry, Delecluse, Pascale, Delire, Christine, Déqué, Michel, de Marsily, Ghislain, de Noblet-Ducoudré, Nathalie, Donnadieu, Yannick, Douville, Hervé, Dubuisson, Philippe, Dudok de Wit, Thierry, Dufresne, Jean-Louis, Durand, Gaël, Féral, Jean-Pierre, Fluteau, Frédéric, France-Lanord, Christian, Friedlingstein, Pierre, Friess, Benjamin, Fuchs, Alain, Gaillardet, Jérôme, Garnier, Emmanuel, Genty, Dominique, Gerbeau, Jean-Frédéric, Goddéris, Yves, Grousset, Francis, Guillemot, Hélène, Guilyardi, Éric, Guimberteau, Matthieu, Guiot, Joël, Hall, Nick, Hourcade, Jean-Charles, Hourdin, Frédéric, Jeandel, Catherine, Joussaume, Sylvie, Jouzel, Jean, Kageyama, Masa, Khodri, Myriam, Klein, Patrice, Krinner, Gerhard, Laj, Paolo, Landais, Amaelle, Laval, Katia, Legras, Bernard, Le Bohec, Céline, Le Hir, Guillaume, Le Maho, Yvon, Le Treut, Hervé, Lilensten, Jean, Llovel, William, Lott, François, Maisonnave, Éric, Marchesiello, Patrick, Mascart, Patrick, Masson-Delmotte, Valérie, Mémery, Laurent, Metzl, Nicolas, Meurdesoif, Yann, Mignot, Juliette, Mosseri, Rémy, Naveau, Philippe, Petit, Jean-Robert, Peyron, Odile, Picon, Laurence, Pironneau, Olivier, Planton, Serge, Polcher, Jan, Pucéat, Emmanuelle, Rabatel, Antoine, Ramonet, Michel, Ramstein, Gilles, Reverdin, Gilles, Ribes, Aurélien, Roche, Didier, Roullet, Guillaume, Roux, Frank, Salas y Mélia, David, Sicre, Marie-Alexandrine, Swingedouw, Didier, Talagrand, Olivier, Tanré, Didier, Tatoni, Thierry, Thouret, Valérie, Thuillier, Gérard, Valcke, Sophie, Verron, Jacques, Vincent, Christian, Viovy, Nicolas, von Ballmoos, Peter, Wagnon, Patrick, Yiou, Pascal, GEOMAR LEGOS, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Théorique de la Matière Condensée (LPTMC), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)

Subjects
effet de serre, climatologie, History & Philosophy Of Science, climat, [SDE.MCG]Environmental Sciences/Global Changes, SCI042000, météorologie, 01 natural sciences, 010305 fluids & plasmas, Outils et méthodes en recherche climatique, RBP, 0103 physical sciences, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, 010306 general physics
Abstract

Qu'est ce que l'effet de serre ? Le rôle de l'homme sur le climat est-il détectable et comment ? Comment mesure-t-on la fonte de la banquise, le recul des glaciers de montagne ou bien encore l'élévation du niveau de la mer ? Comment les chercheurs font-ils pour modéliser un système aussi complexe que la planète terre ? Quelles données permettent de décrire et modéliser les climats passés ? Comment s'y prend-on pour prévoir l'évolution à venir du climat ? À l'écart de la polémique médiatique, Catherine Jeandel et Rémy Mosseri ont mobilisé plus d'une centaine de contributeurs qui livrent ici un panorama large des méthodes et outils mis en oeuvre pour étudier notre climat et son avenir. Ils montrent que, pour résoudre cette question extraordinairement complexe, une approche pluridisciplinaire est plus que jamais nécessaire, à la croisée de l'expérimentation, de l'observation, de la simulation et de la théorie. Un livre majeur.

Published
2017

31. 6. Performance et parallélisation

Author

Maisonnave, Éric and Meurdesoif, Yann

Abstract

La puissance de calcul est la clef de voûte de la modélisation du climat. Depuis l’origine, cette science a suivi les progrès de l’informatique et en a largement bénéficié. Symétriquement, en tant qu’utilisatrice des supercalculateurs les plus puissants au monde, elle a longtemps contribué à leur développement. Tirer parti de toutes les ressources de calcul disponibles est donc une préoccupation majeure qui transparaît dans le code informatique lui-même : choix du langage, performance des alg...

Published
2017

32. High-resolution Global Climate Modeling of Saturn's and Jupiter's tropospheric and stratospheric circulations

Author

Spiga, Aymeric, Guerlet, Sandrine, Millour, Ehouarn, Meurdesoif, Yann, Indurain, Mikel, Dubos, Thomas, Sylvestre, Mélody, Cabanes, S., Boissinot, A., Fouchet, Thierry, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Pôle Planétologie du LESIA, Laboratoire d'études spatiales et d'instrumentation en astrophysique = Laboratory of Space Studies and Instrumentation in Astrophysics (LESIA), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)

Subjects
[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract

International audience; We use unprecedented numerical modeling to study and understand atmospheric winds in our Solar System's gas giants Saturn and Jupiter, inspired by measurements obtained by orbital missions (Cassini, Juno) and ground-based observations.

Published
2017

33. Jets, eddies & waves in Saturn's troposphere and stratosphere from multi-annual high-resolution Global Climate Modeling

Author

Spiga, Aymeric, Guerlet, Sandrine, Meurdesoif, Yann, Indurain, Mikel, Millour, Ehouarn, Sylvestre, Mélody, Dubos, Thomas, Fouchet, Thierry, Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Pôle Planétologie du LESIA, Laboratoire d'études spatiales et d'instrumentation en astrophysique = Laboratory of Space Studies and Instrumentation in Astrophysics (LESIA), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)

Subjects
[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract

International audience

Published
2016

34. DCMIP2016: a review of non-hydrostatic dynamical core design and intercomparison of participating models

Author

Ullrich, Paul A., primary, Jablonowski, Christiane, additional, Kent, James, additional, Lauritzen, Peter H., additional, Nair, Ramachandran, additional, Reed, Kevin A., additional, Zarzycki, Colin M., additional, Hall, David M., additional, Dazlich, Don, additional, Heikes, Ross, additional, Konor, Celal, additional, Randall, David, additional, Dubos, Thomas, additional, Meurdesoif, Yann, additional, Chen, Xi, additional, Harris, Lucas, additional, Kühnlein, Christian, additional, Lee, Vivian, additional, Qaddouri, Abdessamad, additional, Girard, Claude, additional, Giorgetta, Marco, additional, Reinert, Daniel, additional, Klemp, Joseph, additional, Park, Sang-Hun, additional, Skamarock, William, additional, Miura, Hiroaki, additional, Ohno, Tomoki, additional, Yoshida, Ryuji, additional, Walko, Robert, additional, Reinecke, Alex, additional, and Viner, Kevin, additional

Published
2017
Full Text
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36. An exploration of Saturn's stratospheric dynamics through Global Climate Modeling

Author

Spiga, Aymeric, Guerlet, Sandrine, Indurain, Mikel, Millour, Ehouarn, Sylvestre, Mélody, Fouchet, Thierry, Meurdesoif, Yann, Dubos, Thomas, Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Pôle Planétologie du LESIA, Laboratoire d'études spatiales et d'instrumentation en astrophysique = Laboratory of Space Studies and Instrumentation in Astrophysics (LESIA), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)

Subjects
[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract

International audience

Published
2014

37. Les modèles climatiques gagnent en précision

Author

Masson, Sébastien, Hourdin, Christophe, Benshila, Rachid, Maisonnave, Éric, Meurdesoif, Yann, Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), CERFACS, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ANR-11-MONU-0010,PULSATION,Simulation multi-échelle couplée océan-atmosphère sur calculateur peta scale(2011), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)

Subjects
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

38. Tropical Channel NEMO-OASIS-WRF Coupled Simulations at Very High Resolution

Author

Masson, Sébastien, Hourdin, Christophe, Benshila, Rachid, Maisonnave, Éric, Meurdesoif, Yann, Mazauric, Cyril, Samson, Guillaume, Colas, François, Madec, Gurvan, Bourdallé-Badie, Romain, Valcke, Sophie, Coquart, Laure, Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Mercator Océan, Société Civile CNRS Ifremer IRD Météo-France SHOM, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), NCAR, ANR-11-MONU-0010,PULSATION,Simulation multi-échelle couplée océan-atmosphère sur calculateur peta scale(2011), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), CERFACS, and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)

Subjects
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

39. ORCHIDEE-STICS, un outil pour l'étude des interactions entre écosystèmes cultivés, cycles du carbone et de l'eau et climat

Author

SMITH, PASCALLE, Meurdesoif, Yann, Viovy, Nicolas, Gervois, Sebastien, De Noblet-Ducoudre, Nathalie, SEGUIN, Bernard, Ciais, Philippe, ProdInra, Migration, Centre National de la Recherche Scientifique (CNRS), Agroclim (AGROCLIM), and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences
Published
2005

41. Impact of the LMDZ atmospheric grid configuration on the climate and sensitivity of the IPSL-CM5A coupled model

Author

Hourdin, Frédéric, primary, Foujols, Marie-Alice, additional, Codron, Francis, additional, Guemas, Virginie, additional, Dufresne, Jean-Louis, additional, Bony, Sandrine, additional, Denvil, Sébastien, additional, Guez, Lionel, additional, Lott, François, additional, Ghattas, Josefine, additional, Braconnot, Pascale, additional, Marti, Olivier, additional, Meurdesoif, Yann, additional, and Bopp, Laurent, additional

Published
2012
Full Text
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43. A preliminary analysis of atmosphere-only high-resolution climate simulations with IPSL-CM.

Author

Dubos, Thomas, Meurdesoif, Yann, Traoré, Abdoul-Khadre, Ghattas, Josefine, Fairhead, Laurent, Millour, Ehouarn, Hourdin, Frédéric, Lott, Francois, Cugnet, David, Polcher, Jan, Caubel, Arnaud, Fromang, Sébastien, Bourdin, Stella, Sicard, Marie, Kageyama, Masa, Braconnot, Pascale, Marti, Olivier, and Foujols, Marie-Alice

Subjects
*TROPICAL cyclones, *CLIMATOLOGY, *GEOPHYSICS research, *INFORMATION storage & retrieval systems, *EARTH system science
Abstract

The typical resolution used in CMIP-class Earth system models limits, among others, the ability to assess climate risks that are associated with smaller-scale weather phenomena such as tropical cyclones. We introduce higher-resolution atmosphere-only simulations following the HighResMIP Tier1 protocol. A baseline simulation (LMDZ-OR) is run with LMD-Z, the atmospheric component of the IPSL-CM Earth System model, with CMIP6 physics including the land-surface model ORCHIDEE, at a resolution equivalent to 50km at mid-latitudes. Large-scale parallel I/O with on-the-fly data processing is enabled by the XIOS I/O server. In two additional simulations (ICO-LMDZ-OR), the LMD-Z latitude-longitude dynamical core is replaced by the more scalable DYNAMICO dynamical core, using icosahedral-hexagonal meshes with quasi-uniform resolution of 50km and 25km.We provide a description and preliminary analysis of these simulations. We present the scalability and throughput of LMDZ-OR and ICO-LMDZ-OR. Some differences between LMDZ-OR and ICO-LMDZ-OR with respect to the processing of input datasets, especially orography, are discussed. The climates in LMDZ-OR and ICO-LMD-OR simulations at similar resolutions are compared. Dependence on resolution of key climate features is examined. [ABSTRACT FROM AUTHOR]

Published
2019

44. Simulations of global high-resolution climate and weather models in production mode (D1.1)

Author

Serradell, Kim, Dueben, Peter, Castrillo, Miguel, Valcke, Sophie, Caubel, Arnaud, Meurdesoif, Yann, Duras, Julia, Frauen, Claudia, Ziemen, Florian, Adamidis, Panos, Hatfield, Sam, Budich, Reinhard, Klocke, Daniel, Bricaud, Clément, and Fladrich, Uwe

Subjects
13. Climate action, weather, hpc, ESiWACE2, ESiWACE, 7. Clean energy, climate
Abstract

The central objective of work package 1 of ESiWACE2 is to develop and run coupled model simulations at a resolution as high as possible and with a throughput rate of at least one simulated year per day (1 SYPD) producing full model output. This throughput would be sufficient to use these simulations for operational weather predictions and potentially also to run the models for a couple of decades, to address scientific questions that are related to climate change. Four model configurations are considered (EC-Earth with OpenIFS coupled to NEMO, the Integrated Forecasting System (IFS) coupled to NEMO, the ICON model with both atmosphere and ocean, the DYNAMICO model coupled to NEMO) covering both weather and climate configurations as well as well-established models and models that are currently under development. Furthermore, Ocean-only simulations with the NEMO models are also pushed to high spatial resolution (1/36 degree; ~3 km). This deliverable will give an overview of the main components and algorithms that are used by the different models and outline challenges for the use of pre-exascale machines for weather and climate simulations at very high resolution. The document also includes scalability plots when running the various models on several supercomputers. Furthermore, the efforts in work package 1 regarding the coupling infrastructure and model in- and output (I/O) will be described.

45. Simulations of global high-resolution climate and weather models in production mode (D1.1)

Author

Serradell, Kim, Dueben, Peter, Castrillo, Miguel, Valcke, Sophie, Caubel, Arnaud, Meurdesoif, Yann, Duras, Julia, Frauen, Claudia, Ziemen, Florian, Adamidis, Panos, Hatfield, Sam, Budich, Reinhard, Klocke, Daniel, Bricaud, Clément, and Fladrich, Uwe

Subjects
13. Climate action, weather, hpc, ESiWACE2, ESiWACE, 7. Clean energy, climate
Abstract

The central objective of work package 1 of ESiWACE2 is to develop and run coupled model simulations at a resolution as high as possible and with a throughput rate of at least one simulated year per day (1 SYPD) producing full model output. This throughput would be sufficient to use these simulations for operational weather predictions and potentially also to run the models for a couple of decades, to address scientific questions that are related to climate change. Four model configurations are considered (EC-Earth with OpenIFS coupled to NEMO, the Integrated Forecasting System (IFS) coupled to NEMO, the ICON model with both atmosphere and ocean, the DYNAMICO model coupled to NEMO) covering both weather and climate configurations as well as well-established models and models that are currently under development. Furthermore, Ocean-only simulations with the NEMO models are also pushed to high spatial resolution (1/36 degree; ~3 km). This deliverable will give an overview of the main components and algorithms that are used by the different models and outline challenges for the use of pre-exascale machines for weather and climate simulations at very high resolution. The document also includes scalability plots when running the various models on several supercomputers. Furthermore, the efforts in work package 1 regarding the coupling infrastructure and model in- and output (I/O) will be described.

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