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How machine learning could help to improve climate forecasts
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jones, Nicola |
| Copyright Year | 2017 |
| Abstract | Mixing artificial intelligence with climate science helps researchers to identify previously unknown atmospheric processes and rank climate models. |
| Starting Page | 379 |
| Ending Page | 380 |
| Page Count | 2 |
| File Format | PDF HTM / HTML |
| DOI | 10.1038/548379a |
| Alternate Webpage(s) | http://www.nature.com/polopoly_fs/1.22503!/menu/main/topColumns/topLeftColumn/pdf/548379a.pdf |
| PubMed reference number | 28836613 |
| Alternate Webpage(s) | https://doi.org/10.1038/548379a |
| Journal | Medline |
| Volume Number | 548 |
| Journal | Nature |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |