|Goal||Help produce predictions of Earth's climate.|
|Task||Download climate model program, run on computer's spare time.|
ClimatePrediction is a distributed computing project that aims to produce predictions of the Earth's climate up to the year 2300 and to test the accuracy of climate models. To do this, the project needs people around the world to volunteer time on their computers - time when their computers are on but not being used at full capacity.
The project needs you to run a climate model program on your computer. The model will run automatically in the background whenever you switch your computer on, and it should not affect any other tasks for which you use your computer. As the model runs, you can watch the weather patterns evolve on your unique version of the world. The results are sent back to project coordinators via the Internet, and you will be able to see a summary of your results on the website. ClimatePrediction uses the same underlying software, BOINC, as many other distributed computing projects and, if you like, you can participate in more than one project at a time.
Climate change, and our response to it, are issues of global importance, affecting food production, water resources, ecosystems, energy demand, insurance costs, and much else. Current research suggests that the Earth will probably warm over the coming century; Climateprediction should, for the first time, tell us what is most likely to happen.
|How to Join|
A computer with Internet access.
|Ideal Age Group||Elementary school (6 - 10 years), Middle school (11 - 13 years), High school (14 - 17 years), College, Graduate students, Adults, Families|
|Spend the Time||indoors|
|Type of Activity||Exclusively online|
|Tags||boinc, computer, computers & technology, distributed computing|
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These are ratings provided by K-12 teachers. This rating reflects how well the project is suited for the classroom.
Your contributions to this project will be tracked and credited in your SciStarter dashboard!
My computer has run climatepredition.net to help improve climate models for furthering our understanding of our earth. While at home or work my computers work in the background while I work in the foreground making my time more impactful with the least amount of effort. The improvement from this could make local weather and longer term weather predictions more accurate and useful!
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