climateprediction.net
Sign in to saveAlso known as CPDN
'climateprediction.net (CPDN') is a volunteer computing project to investigate and reduce uncertainties in climate modelling. It aims to do this by running hundreds of thousands of different models (a large climate ensemble) using the donated idle time of ordinary personal computers, thereby leading to a better understanding of how models are affected by small changes in the many parameters known to influence the global climate.
Key facts
- Distributed computing project.logo
- Climateprediction dot net logo.png
- Distributed computing project.developer
- Oxford University
- Distributed computing project.operating system
- Cross-platform
- Distributed computing project.platform
- BOINC
- Distributed computing project.license
- proprietary
- Distributed computing project.status
- Active
- Distributed computing project.performance
- 78.8 TFLOPS
- Distributed computing project.active users
- 7,516
- Distributed computing project.total users
- 305,577
- Distributed computing project.active hosts
- 10,275
- Distributed computing project.total hosts
- 652,792
- Distributed computing project.screenshot
- Climateprediction.gif
- Distributed computing project.screenshot caption
- climateprediction.net screensaver
- Distributed computing project.logo_size
- 250px
- Distributed computing project.screenshot_size
- 250px
- Distributed computing project.name
- climateprediction.net
via Wikipedia infobox
Wikidata facts
- Official website
- climateprediction.net
- Image
- CPDN-Client.png
Show 2 more facts
- inception
- 2003-12-09
- Commons category
- Climateprediction.net
Sources (1)
via Wikidata · CC0
~18 min read
Article
13 sectionsContents
- Aims
- The experiments
- History
- Results to date
- Explanation
- Piani ''et al.'' (2005)
- Use in education
- The original model
- Visualisations
- BBC Climate Change Experiment
- See also
- References
- External links
'climateprediction.net (CPDN) is a volunteer computing project to investigate and reduce uncertainties in climate modelling. It aims to do this by running hundreds of thousands of different models (a large climate ensemble) using the donated idle time of ordinary personal computers, thereby leading to a better understanding of how models are affected by small changes in the many parameters known to influence the global climate.
The project relies on the BOINC framework where voluntary participants agree to run some processes of the project at the client-side in their personal computers after receiving tasks from the server-side for treatment.