| dc.contributor.author | Lee, Yoonjin | |
| dc.contributor.author | Kim, Soo-Hyun | |
| dc.contributor.author | Noh, Yoo-Jeong | |
| dc.contributor.author | Kim, Jung-Hoon | |
| dc.date.accessioned | 2024-12-24T14:00:03Z | |
| dc.date.available | 2024-12-24T14:00:03Z | |
| dc.date.copyright | 01 Nov. 2023 | |
| dc.date.issued | 2023 | |
| dc.identifier.other | atot-JTECH-D-22-0137.1.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299983 | |
| dc.language | English | |
| dc.publisher | American Meteorological Society | |
| dc.title | Deep Learning–Based Summertime Turbulence Intensity Estimation Using Satellite Observations | |
| dc.type | Journal Paper | |
| dc.journal.volume | 40 | |
| dc.journal.issue | 11 | |
| dc.journal.title | Journal of Atmospheric and Oceanic Technology | |
| dc.identifier.doi | 10.1175/JTECH-D-22-0137.1 | |
| dc.journal.fristpage | 1433 | |
| dc.journal.lastpage | 1448 | |
| dc.tree | Journal of Atmospheric and Oceanic Technology:;2023:;volume( 040 ):;issue: 011 | |
| dc.contenttype | Fulltext | |