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Changes for document Machine Learning
From version 2.7
edited by Administrator
on 2020/04/01 11:43
on 2020/04/01 11:43
To version 3.1
edited by S2S_mchnlearn
on 2020/04/01 23:45
on 2020/04/01 23:45
Change comment: There is no comment for this version
Metadata changes
- Title
- Machine Learning
- Document author
- XWiki.
AdS2S_michnlearn
Content changes
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1 | +Machine Learning / Artificial Intelligence for S2S prediction | |
2 | 2 | |
3 | +There is currently a lot excitement in the weather and climate communities to explore the potential of data driven approaches based on Artificial Intelligence/Machine Learning/Deep learning for S2S prediction through, for instance, improved parameterization, improved calibration and multi-model calibration, extreme event attribution, verification... The publicly available S2S database which contains a considerable amount of data (re-forecasts and real-time forecasts from 11 operational centres) represents an ideal testbed for these data-driven methods. The SubX database provides another such opportunity ([[http:~~/~~/cola.gmu.edu/subx/index.html>>url:http://cola.gmu.edu/subx/index.html]]). | |
4 | + | |
5 | + | |
6 | +Potential applications : | |
7 | + ~1. Improved data assimilation (e.g. better quality control of observations) | |
8 | + 2. Improved parameterization (e.g. radiative schemes) | |
9 | + 3. Improved post-processing (model calibration, bias-correction, multi-ensemble combination...) | |
10 | + 4. Predictability diagnostics (e.g. teleconnections) | |
11 | + 5. S2S event attribution (e.g. origins of extreme events) | |
12 | + 6. Empirical forecasts | |
13 | + | |
3 | 3 | http:~/~/enterprise.xwiki.org/xwiki/bin/view/UserGuide/ |