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