Extracting 3D Radar Features to Improve Quantitative Precipitation Estimation in Complex Terrain Based on Deep Learning Neural Networks
| dc.contributor.author | Cheng, Yung-Yun | |
| dc.contributor.author | Chang, Chia-Tung | |
| dc.contributor.author | Chen, Buo-Fu | |
| dc.contributor.author | Kuo, Hung-Chi | |
| dc.contributor.author | Lee, Cheng-Shang | |
| dc.date.accessioned | 2023-08-15T11:03:31Z | |
| dc.date.available | 2023-08-15T11:03:31Z | |
| dc.date.copyright | 01 Feb. 2023 | |
| dc.date.issued | 2023 | |
| dc.identifier.other | WAF-D-22-0034.1.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4291214 | |
| dc.language | English | |
| dc.publisher | American Meteorological Society | |
| dc.title | Extracting 3D Radar Features to Improve Quantitative Precipitation Estimation in Complex Terrain Based on Deep Learning Neural Networks | |
| dc.type | Journal Paper | |
| dc.journal.volume | 38 | |
| dc.journal.issue | 2 | |
| dc.journal.title | Weather and Forecasting | |
| dc.identifier.doi | 10.1175/WAF-D-22-0034.1 | |
| dc.page | 289-273 | |
| dc.tree | Weather and Forecasting:;2023:;volume( 038 ):;issue: 002 | |
| dc.contenttype | Fulltext |