| contributor author | Lagerquist, Ryan;Turner, David;Ebert-Uphoff, Imme;Stewart, Jebb;Hagerty, Venita | |
| date accessioned | 2022-03-26T19:34:29Z | |
| date available | 2022-03-26T19:34:29Z | |
| date copyright | 01 Oct. 2021 | |
| date issued | 2021 | |
| identifier other | JTECH-D-21-0007.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4280268 | |
| publisher | American Meteorological Society | |
| title | Using Deep Learning to Emulate and Accelerate a Radiative Transfer Model | |
| type | Journal Paper | |
| journal volume | 38 | |
| journal issue | 10 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/JTECH-D-21-0007.1 | |
| journal fristpage | 1673 | |
| journal lastpage | 1696 | |
| tree | Journal of Atmospheric and Oceanic Technology:;2021:;volume( 038 ):;issue: 010 | |
| contenttype | Fulltext | |
