Development of an Optimal Postprocessing Model Using the Microgenetic Algorithm to Improve Precipitation Forecasting in South Korea
| contributor author | Kim, Junsu | |
| contributor author | Kim, Yeon-Hee | |
| contributor author | Bok, Hyejeong | |
| contributor author | Jang, Sungbin | |
| contributor author | Cho, Eunju | |
| contributor author | Kim, Seungbum | |
| date accessioned | 2024-12-24T13:42:09Z | |
| date available | 2024-12-24T13:42:09Z | |
| date copyright | 01 Jan. 2024 | |
| date issued | 2024 | |
| identifier other | aies-AIES-D-23-0069.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299457 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Development of an Optimal Postprocessing Model Using the Microgenetic Algorithm to Improve Precipitation Forecasting in South Korea | |
| type | Journal Paper | |
| journal volume | 3 | |
| journal issue | 1 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-23-0069.1 | |
| journal lastpage | e230069 | |
| tree | Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001 | |
| contenttype | Fulltext |
