9 results on '"Palomas, Sergi"'
Search Results
2. The very-high resolution configuration of the EC-Earth global model for HighResMIP.
- Author
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Moreno-Chamarro, Eduardo, Arsouze, Thomas, Acosta, Mario, Bretonnière, Pierre-Antoine, Castrillo, Miguel, Ferrer, Eric, Frigola, Amanda, Kuznetsova, Daria, Martin-Martinez, Eneko, Ortega, Pablo, and Palomas, Sergi
- Subjects
CLIMATE change models ,GULF Stream ,ATMOSPHERIC models ,CLOUDINESS ,ATMOSPHERIC circulation - Abstract
We here present the very-high resolution version of the EC-Earth global climate model, EC-Earth3P-VHR, developed for HighResMIP. The model features an atmospheric resolution of ~16 km and an oceanic resolution of 1/12° (~8 km), which makes it one of the finest combined resolutions ever used to complete historical and scenario-like CMIP6 simulations. To evaluate the influence of numerical resolution on the simulated climate, EC-Earth3P-VHR is compared with two configurations of the same model at lower resolution: the ~100-km-grid EC-Earth3P-LR, and the ~25-km-grid EC-Earth3P-HR. The models' biases are evaluated against observations over the period 1980–2014. Compared to LR and HR, VHR shows a reduced equatorial Pacific cold tongue bias, an improved Gulf Stream representation with a reduced coastal warm bias and a reduced subpolar North Atlantic cold bias, and more realistic orographic precipitation over mountain ranges. By contrast, VHR shows a larger warm bias and overly low sea ice extent over the Southern Ocean. Such biases in surface temperature have an impact on the atmospheric circulation aloft, with improved stormtrack over the North Atlantic, yet worsened stormtrack over the Southern Ocean compared to the lower resolution model versions. Other biases persist with increased resolution from LR to VHR, such as the warm bias over the tropical upwelling region and the associated cloud cover underestimation, and the precipitation excess over the tropical South Atlantic and North Pacific. VHR shows improved air–sea coupling over the tropical region, although it tends to overestimate the oceanic influence on the atmospheric variability at mid-latitudes compared to observations and LR and HR. Together, these results highlight the potential for improved simulated climate in key regions, such as the Gulf Stream and the Equator, when the atmospheric and oceanic resolutions are finer than 25 km in both the ocean and atmosphere. Thanks to its unprecedented resolution, EC-Earth3P-VHR offers a new opportunity to study climate variability and change of such areas on regional/local spatial scales, in line with regional climate models. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. The computational and energy cost of simulation and storage for climate science: lessons from CMIP6.
- Author
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Acosta, Mario C., Palomas, Sergi, Paronuzzi Ticco, Stella V., Utrera, Gladys, Biercamp, Joachim, Bretonniere, Pierre-Antoine, Budich, Reinhard, Castrillo, Miguel, Caubel, Arnaud, Doblas-Reyes, Francisco, Epicoco, Italo, Fladrich, Uwe, Joussaume, Sylvie, Kumar Gupta, Alok, Lawrence, Bryan, Le Sager, Philippe, Lister, Grenville, Moine, Marie-Pierre, Rioual, Jean-Christophe, and Valcke, Sophie
- Subjects
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CLIMATOLOGY , *ENERGY industries , *ATMOSPHERIC models , *INTERNATIONAL relations , *ECOLOGICAL impact , *CLIMATE change - Abstract
The Coupled Model Intercomparison Project (CMIP) is one of the biggest international efforts aimed at better understanding the past, present, and future of climate changes in a multi-model context. A total of 21 model intercomparison projects (MIPs) were endorsed in its sixth phase (CMIP6), which included 190 different experiments that were used to simulate 40 000 years and produced around 40 PB of data in total. This paper presents the main findings obtained from the CPMIP (the Computational Performance Model Intercomparison Project), a collection of a common set of metrics, specifically designed for assessing climate model performance. These metrics were exclusively collected from the production runs of experiments used in CMIP6 and primarily from institutions within the IS-ENES3 consortium. The document presents the full set of CPMIP metrics per institution and experiment, including a detailed analysis and discussion of each of the measurements. During the analysis, we found a positive correlation between the core hours needed, the complexity of the models, and the resolution used. Likewise, we show that between 5 %–15 % of the execution cost is spent in the coupling between independent components, and it only gets worse by increasing the number of resources. From the data, it is clear that queue times have a great impact on the actual speed achieved and have a huge variability across different institutions, ranging from none to up to 78 % execution overhead. Furthermore, our evaluation shows that the estimated carbon footprint of running such big simulations within the IS-ENES3 consortium is 1692 t of CO 2 equivalent. As a result of the collection, we contribute to the creation of a comprehensive database for future community reference, establishing a benchmark for evaluation and facilitating the multi-model, multi-platform comparisons crucial for understanding climate modelling performance. Given the diverse range of applications, configurations, and hardware utilised, further work is required for the standardisation and formulation of general rules. The paper concludes with recommendations for future exercises aimed at addressing the encountered challenges which will facilitate more collections of a similar nature. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
4. Balancing EC-Earth3: Improving the performance of EC-Earth CMIP6 configurations by minimizing the coupling cost
- Author
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Acosta, Mario, primary, Palomas, Sergi, additional, and Tourigny, Etienne, additional
- Published
- 2023
- Full Text
- View/download PDF
5. The computational and energy cost of simulation and storage for climate science: lessons from CMIP6.
- Author
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Acosta, Mario C., Palomas, Sergi, Paronuzzi, Stella, Andre, Jean-Claude, Biercamp, Joachim, Bretonniere, Pierre-Antoine, Budich, Reinhard, Castrillo, Miguel, Caubel, Arnaud, Doblas-Reyes, Francisco, Epicoco, Italo, Fladrich, Uwe, Gupta, Alok Kumar, Lawrence, Bryan, Le Sager, Philippe, Lister, Grenville, Moine, Marie-Pierre, Rioual, Jean-Christophe, Sylvie, Joussame, and Valcke, Sophie
- Subjects
- *
CLIMATOLOGY , *ENERGY industries , *INTERNATIONAL relations , *STORAGE , *CLIMATE change - Abstract
The Coupled Model Intercomparison Project (CMIP) is one of the biggest international efforts to better understand past, present and future climate changes in a multi-model context. A total of 21 Model Intercomparison Projects (MIPs) were endorsed in its 6th phase (CMIP6), which included 190 different experiments that were used to simulate 40000 years and produced around 40 PB of data in total. This paper shows the main results obtained from the collection of performance metrics done for CMIP6 (CPMIP). The document provides the list of partners involved, the CPMIP metrics per institution/model, and the approach used for the collection and the coordination behind this process. Furthermore, a section has been included to analyze the results and prove the usefulness of the metrics for the community. Moreover, we describe the main difficulties faced during the collection and propose recommendations for future exercises. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
6. The new very-high-resolution coupled global configuration for EC-Earth 4
- Author
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Castrillo, Miguel, Acosta, Mario, Arsouze, Thomas, Aya, Iria, Lapin, Vladimir, Montané, Gilbert, Palomas, Sergi, Paronuzzi-Ticco, Stella, Serradell, Kim, Tintó, Oriol, Yepes, Xavier, and Bricaud, Clément
- Subjects
Very-high resolution ,EC-Earth ,PRACE ,climate models ,NEMO ,IMMERSE ,HPC ,High resolution ,ESiWACE ,scalability ,performance - Abstract
Recent studies have established that the typical atmospheric and oceanic resolutions used for the CMIP5 coordinated exercise, i.e., around 40km-150km globally, are limiting factors to correctly reproduce the climate mean state and variability. In the framework of the ESiWACE project, the Barcelona Supercomputing Center (BSC) developed a coupled version of the EC-Earth 3 climate model at a groundbreaking horizontal resolution of about 15km in each climate system component. In the atmosphere, the horizontal domain was based on a spectral truncation of the atmospheric model (IFS) at T1279 (15 km) together with 91 vertical levels. The ocean component (NEMO) ran on the ORCA12 tripolar (cartesian) grid at a horizontal resolution of about 1/12° (16 km), with 75 vertical levels. This very-high-resolution (VHR) configuration was used in the Glob15km project to run a 50-year spinup from which one historical and one control simulation of 50 years each were started, following the HighResMIP protocol from CMIP6. These experiments are currently being used to identify the improvements in process representation with respect to coarser resolution and to pin down physical and dynamical reasons behind these differences induced by resolution change. The VHR coupled configuration was a great benchmark to reveal the most critical scalability problems of the EC-Earth 3 model. Within the ESiWACE2 project, those issues have been tackled to allow operational climate predictions at more than 1 SYPD (Simulated Years Per Day) with production-mode configurations. The new Tco639-ORCA12 configuration is based on the community EC-Earth 4 model, made up of OpenIFS cycle 43r3 and NEMO 4, and uses a cubic octahedral grid in the atmosphere. In this version of EC-Earth, both the atmospheric and the oceanic component output diagnostics through the asynchronous XIOS servers, contributing to reducing the I/O overhead and improving scalability, which will be evaluated at the end on one of the forthcoming pre-exascale EuroHPC systems. This new configuration has already been scaled in MareNostrum 4 with a peak performance of 2 SYPD. It will be subject to the last phase of development and optimization until it is finally deployed in one of the forthcoming Pre-Exascale platforms to facilitate the execution of experiments with an unprecedented time-to-solution and allowing additional output capabilities to help understand the climate mean state, variability, and extremes.
- Published
- 2022
- Full Text
- View/download PDF
7. CPMIP: Computational evaluation of the new era of complex Earth System Models. Multi-model results from CMIP6 and challenges for the exascale computing.
- Author
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Acosta, Mario, primary, Balaji, Venkatramani, additional, Palomas, Sergi, additional, and Paronuzzi, Stella, additional
- Published
- 2022
- Full Text
- View/download PDF
8. The new very-high resolution EC-Earth 4 climate demonstrator
- Author
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Castrillo, Miguel, Acosta, Mario, Serradell, Kim, Paronuzzi, Stella, Arsouze, Thomas, Lapin, Vladimir, Ayan, Iria, Yepes-Arb��s, Xavier, Tint��, Oriol, Palomas, Sergi, and Montan��, Gilbert
- Subjects
modelling ,EC-Earth ,NEMO ,HPC ,climate prediction ,resolution ,ESiWACE ,OpenIFS ,scalability - Abstract
Recent studies have established that the typical atmospheric and oceanic resolutions used for the CMIP5 coordinated exercise, i.e., around 40km-150km globally, are limiting factors to correctly reproduce the climate mean state and variability. In the framework of the ESiWACE project, the Barcelona Supercomputing Center (BSC) developed a coupled version of the EC-Earth 3 climate model at a groundbreaking horizontal resolution of about 15km in each climate system component. In the atmosphere, the horizontal domain was based on a spectral truncation of the atmospheric model (IFS) at T1279 (15 km) together with 91 vertical levels. The ocean component (NEMO) ran on the ORCA12 tripolar (cartesian) grid at a horizontal resolution of about 1/12° (16 km), with 75 vertical levels. This very-high-resolution (VHR) configuration was used in the Glob15km project to run a 50-year spinup from which one historical and one control simulation of 50 years each were started, following the HighResMIP protocol from CMIP6. These experiments are currently being used to identify the improvements in process representation with respect to coarser resolution and to pin down physical and dynamical reasons behind these differences induced by resolution change. The VHR coupled configuration was a great benchmark to reveal the most critical scalability problems of the EC-Earth 3 model. Within the ESiWACE2 project, those issues have been tackled to allow operational climate predictions at more than 1 SYPD with production-mode configurations. The new Tco639-ORCA12 configuration is based on the EC-Earth 4 model, made up of OpenIFS cycle 43r3 and NEMO 4, and uses a cubic octahedral grid in the atmosphere. In this version of EC-Earth, both the atmospheric and the oceanic component output diagnostics through the asynchronous XIOS servers, contributing to reduce the I/O overhead and improving scalability, which will be evaluated at one of the forthcoming pre-exascale EuroHPC systems. Recent studies have established that the typical atmospheric and oceanic resolutions used for the CMIP5 coordinated exercise, i.e., around 40km-150km globally, are limiting factors to correctly reproduce the climate mean state and variability. In the framework of the ESiWACE project, the Barcelona Supercomputing Center (BSC) developed a coupled version of the EC-Earth 3 climate model at a groundbreaking horizontal resolution of about 15km in each climate system component. In the atmosphere, the horizontal domain was based on a spectral truncation of the atmospheric model (IFS) at T1279 (15 km) together with 91 vertical levels. The ocean component (NEMO) ran on the ORCA12 tripolar (cartesian) grid at a horizontal resolution of about 1/12° (16 km), with 75 vertical levels. This very-high-resolution (VHR) configuration was used in the Glob15km project to run a 50-year spinup from which one historical and one control simulation of 50 years each were started, following the HighResMIP protocol from CMIP6. These experiments are currently being used to identify the improvements in process representation with respect to coarser resolution and to pin down physical and dynamical reasons behind these differences induced by resolution change. The VHR coupled configuration was a great benchmark to reveal the most critical scalability problems of the EC-Earth 3 model. Within the ESiWACE2 project, those issues have been tackled to allow operational climate predictions at more than 1 SYPD with production-mode configurations. The new Tco639-ORCA12 configuration is based on the EC-Earth 4 model, made up of OpenIFS cycle 43r3 and NEMO 4, and uses a cubic octahedral grid in the atmosphere. In this version of EC-Earth, both the atmospheric and the oceanic component output diagnostics through the asynchronous XIOS servers, contributing to reduce the I/O overhead and improving scalability, which will be evaluated at one of the forthcoming pre-exascale EuroHPC systems.
- Published
- 2021
- Full Text
- View/download PDF
9. Porting NEMO diagnostics to GPU accelerators
- Author
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Faria, Maicon, primary, Acosta, Mario, additional, Castrillo, Miguel, additional, V. Paronuzzi Ticco, Stella, additional, Palomas, Sergi, additional, Vicente Dorca, David, additional, and Serradell Maronda, kim, additional
- Published
- 2021
- Full Text
- View/download PDF
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