Using Deep Learning to Image the Earth’s Planetary Boundary Layer
| dc.contributor.author | Wahl, Haley | |
| dc.date.accessioned | 2024-04-19T14:06:42Z | |
| dc.date.available | 2024-04-19T14:06:42Z | |
| dc.date.issued | 2024-03-15 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/154225 | |
| dc.description.abstract | Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth's surface. Their techniques could improve weather and drought prediction. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | MIT Lincoln Laboratory | en_US |
| dc.subject | LLSC | en_US |
| dc.title | Using Deep Learning to Image the Earth’s Planetary Boundary Layer | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | https://news.mit.edu/2024/using-deep-learning-image-earths-planetary-boundary-layer-0418#:~:text=planetary%20boundary%20layer-,Using%20deep%20learning%20to%20image%20the%20Earth's%20planetary%20boundary%20layer,improve%20weather%20and%20drought%20prediction. | en_US |
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