Actualités en direct des projets (non traduites)
Nouvelles en VO
Climate Prediction - New study going out to volunteer's machines
- Détails
(actual project name - “Quantifying controls on the intensity, variability and impacts of extreme European STORMSâ€)
Victoria Sinclair, Clément Bouvier
Institute for Atmospheric and Earth System Research,
University of Helsinki, Finland
Throughout the year, low-pressure systems regularly move across Europe, usually from west to east, bringing cloud, rain and windy weather. Sometimes these weather systems can become very intense, and the winds and rain associated with them can cause damage to buildings and infrastructure, flooding, and can disrupt electricity supply and travel. Although the short-term weather forecasts of these storms are now quite accurate, it still remains uncertain how these storms, and their impacts, are likely to change in the future as our climate changes. Some of this uncertainty is because our understanding of what controls the strength and impacts of these storms is incomplete.
The aim of this project is to understand what controls the strength and structure of these low-pressure systems. We will quantify how the atmospheric state that the low-pressure systems develop in affects the strength and structure of these low-pressure systems. This atmospheric state can be described by various parameters, for example, the mean temperature, moisture content, and upper-level wind speeds (i.e. the strength and width of the jet stream). Since there are lots of different parameters we want to study (not just the ones described above), we want to do lots of experiments in a high controlled manner. Therefore, we will run a large ensemble of simulations of idealised low-pressure systems using the numerical weather prediction model OpenIFS. Although the simulations are idealised, the weather systems that develop look very like real weather systems that we observed in reality. Each ensemble member differs in its initial atmospheric state, and we choose these initial states to cover everything from the current climate to past pre-industrial climates to the most extreme future climate projections. This is exciting because although idealised simulations of low-pressure systems have been performed before, this is the first time that such an extensive exploration of the parameter space will be conducted.
Once we have the results from the large ensemble, we will calculate different measures of the strength of the storms and then use machine learning techniques to see how these relate to the initial states. Our results will hopefully increase in confidence in how these storms and their impacts will change in the future.
Technical information:
Please ensure 'Leave non-GPU tasks in memory while suspended' is set in Disk/Memory options of boincmgr
CPDN app-name: oifs_43r3_bl
Run time: ~6 hrs/task on a modern CPU
Max memory: ~7Gb
Total number of files: 354 files
Model output: 16Mb per output step (uncompressed)
Total size of uploaded files: 1.5GB
Checkpoint filesize: ~800Mb (these are periodically created & deleted in the slot dir and not uploaded)[/b]
Source
Climate Prediction - New study going out to volunteer's machines
- Détails
(actual project name - “Quantifying controls on the intensity, variability and impacts of extreme European STORMSâ€)
Victoria Sinclair, Clément Bouvier
Institute for Atmospheric and Earth System Research,
University of Helsinki, Finland
Throughout the year, low-pressure systems regularly move across Europe, usually from west to east, bringing cloud, rain and windy weather. Sometimes these weather systems can become very intense, and the winds and rain associated with them can cause damage to buildings and infrastructure, flooding, and can disrupt electricity supply and travel. Although the short-term weather forecasts of these storms are now quite accurate, it still remains uncertain how these storms, and their impacts, are likely to change in the future as our climate changes. Some of this uncertainty is because our understanding of what controls the strength and impacts of these storms is incomplete.
The aim of this project is to understand what controls the strength and structure of these low-pressure systems. We will quantify how the atmospheric state that the low-pressure systems develop in affects the strength and structure of these low-pressure systems. This atmospheric state can be described by various parameters, for example, the mean temperature, moisture content, and upper-level wind speeds (i.e. the strength and width of the jet stream). Since there are lots of different parameters we want to study (not just the ones described above), we want to do lots of experiments in a high controlled manner. Therefore, we will run a large ensemble of simulations of idealised low-pressure systems using the numerical weather prediction model OpenIFS. Although the simulations are idealised, the weather systems that develop look very like real weather systems that we observed in reality. Each ensemble member differs in its initial atmospheric state, and we choose these initial states to cover everything from the current climate to past pre-industrial climates to the most extreme future climate projections. This is exciting because although idealised simulations of low-pressure systems have been performed before, this is the first time that such an extensive exploration of the parameter space will be conducted.
Once we have the results from the large ensemble, we will calculate different measures of the strength of the storms and then use machine learning techniques to see how these relate to the initial states. Our results will hopefully increase in confidence in how these storms and their impacts will change in the future.
Technical information:
Please ensure 'Leave non-GPU tasks in memory while suspended' is set in Disk/Memory options of boincmgr
CPDN app-name: oifs_43r3_bl
Run time: ~6 hrs/task on a modern CPU
Max memory: ~7Gb
Total number of files: 354 files
Model output: 16Mb per output step (uncompressed)
Total size of uploaded files: 1.5GB
Checkpoint filesize: ~800Mb (these are periodically created & deleted in the slot dir and not uploaded)[/b]
Source
World Community Grid - February 2023 OpenZika Project Update
- Détails
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Yafu - Aliquot sequence 76^35 has terminated!!!
- Détails
Source
Milkyway@home - New Separation Runs
- Détails
I'm taking down the following runs:
de_modfit_70_bundle5_3s_south_pt2_2 de_modfit_71_bundle5_3s_south_pt2_2 de_modfit_72_bundle5_3s_south_pt2_2 de_modfit_73_bundle5_3s_south_pt2_2 de_modfit_74_bundle5_3s_south_pt2_2 de_modfit_75_bundle5_3s_south_pt2_2 de_modfit_76_bundle5_3s_south_pt2_2 de_modfit_77_bundle5_3s_south_pt2_2 de_modfit_78_bundle5_3s_south_pt2_2 de_modfit_79_bundle5_3s_south_pt2_2 de_modfit_80_bundle5_3s_south_pt2_2 de_modfit_81_bundle5_3s_south_pt2_2 de_modfit_82_bundle5_3s_south_pt2_2 de_modfit_83_bundle5_3s_south_pt2_2 de_modfit_84_bundle5_3s_south_pt2_2 de_modfit_85_bundle5_3s_south_pt2_2 de_modfit_86_bundle5_3s_south_pt2_2 de_modfit_70_bundle5_3s_south_pt2_3and putting up the following runs:
de_modfit_70_bundle5_3s_south_pt2_4 de_modfit_71_bundle5_3s_south_pt2_4 de_modfit_72_bundle5_3s_south_pt2_4 de_modfit_73_bundle5_3s_south_pt2_4 de_modfit_74_bundle5_3s_south_pt2_4 de_modfit_75_bundle5_3s_south_pt2_4 de_modfit_76_bundle5_3s_south_pt2_4 de_modfit_77_bundle5_3s_south_pt2_4 de_modfit_78_bundle5_3s_south_pt2_4 de_modfit_79_bundle5_3s_south_pt2_4 de_modfit_80_bundle5_3s_south_pt2_4 de_modfit_81_bundle5_3s_south_pt2_4 de_modfit_82_bundle5_3s_south_pt2_4 de_modfit_83_bundle5_3s_south_pt2_4 de_modfit_84_bundle5_3s_south_pt2_4 de_modfit_85_bundle5_3s_south_pt2_4 de_modfit_86_bundle5_3s_south_pt2_4This new batch can be identified with the "_4" at the end rather than "_2" or "_3". As always, you'll see WUs from the old runs for the next week or so as those runs terminate. Please let me know if you experience any issues with the new runs.
Best,
Tom
Source
Yafu - Aliquot sequence 89^50 has terminated!!!
- Détails
Source
- Yafu - Aliquot sequence 2668624 has terminated!!!
- PrimeGrid - 2023 Tour de Primes is almost here!
- SRBase - Extreme Sports Winter X Games challenge (01/27/2023 01:00 (UTC) - 01/29/2023 01:00 (UTC)
- LHC@home - Server upgrade
- PrimeGrid - A Prime Chinese New Year Challenge starts January 22, 12:00 UTC
- Wanless Mersenne +2 - 12-digit factor of P2203 has now been found by the project...