Machine Learning–Based Lightning Parameterizations for the CONUSSource: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002Author:Cheng, Wei-Yi
,
Kim, Daehyun
,
Henderson, Scott
,
Ham, Yoo-Geun
,
Kim, Jeong-Hwan
,
Holzworth, Rober H.
DOI: 10.1175/AIES-D-23-0024.1Publisher: American Meteorological Society
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| contributor author | Cheng, Wei-Yi | |
| contributor author | Kim, Daehyun | |
| contributor author | Henderson, Scott | |
| contributor author | Ham, Yoo-Geun | |
| contributor author | Kim, Jeong-Hwan | |
| contributor author | Holzworth, Rober H. | |
| date accessioned | 2024-12-24T15:22:37Z | |
| date available | 2024-12-24T15:22:37Z | |
| date copyright | 01 Apr. 2024 | |
| date issued | 2024 | |
| identifier other | aies-AIES-D-23-0024.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4302248 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Machine Learning–Based Lightning Parameterizations for the CONUS | |
| type | Journal Paper | |
| journal volume | 3 | |
| journal issue | 2 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-23-0024.1 | |
| journal lastpage | e230024 | |
| tree | Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002 | |
| contenttype | Fulltext |