Interpretable Convolutional Neural Network for Analyzing Precipitation in the Pre-Rainy Season of South ChinaSource: Journal of Applied Meteorology and Climatology:;2024:;volume( 063 ):;issue: 003::page 387DOI: 10.1175/JAMC-D-23-0075.1Publisher: American Meteorological Society
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| contributor author | Liu, Shengjun | |
| contributor author | Yan, Wenjie | |
| contributor author | Liu, Xinru | |
| contributor author | Hu, Yamin | |
| contributor author | Yang, Dangfu | |
| date accessioned | 2024-12-24T14:18:11Z | |
| date available | 2024-12-24T14:18:11Z | |
| date copyright | 01 Mar. 2024 | |
| date issued | 2024 | |
| identifier other | apme-JAMC-D-23-0075.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4300510 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Interpretable Convolutional Neural Network for Analyzing Precipitation in the Pre-Rainy Season of South China | |
| type | Journal Paper | |
| journal volume | 63 | |
| journal issue | 3 | |
| journal title | Journal of Applied Meteorology and Climatology | |
| identifier doi | 10.1175/JAMC-D-23-0075.1 | |
| journal fristpage | 387 | |
| journal lastpage | 399 | |
| tree | Journal of Applied Meteorology and Climatology:;2024:;volume( 063 ):;issue: 003 | |
| contenttype | Fulltext |