Long-Term Changes, Synoptic Behaviors, and Future Projections of Large-Scale Anomalous Precipitation Events in China Detected by a Deep Learning AutoencoderSource: Journal of Climate:;2023:;volume( 036 ):;issue: 012DOI: 10.1175/JCLI-D-22-0737.1Publisher: American Meteorological Society
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| contributor author | Huang, Zeqin | |
| contributor author | Tan, Xuezhi | |
| contributor author | Wu, Xinxin | |
| contributor author | Tan, Xuejin | |
| contributor author | Fu, Jianyu | |
| contributor author | Liu, Bingjun | |
| date accessioned | 2023-08-15T10:55:42Z | |
| date available | 2023-08-15T10:55:42Z | |
| date copyright | 15 Jun. 2023 | |
| date issued | 2023 | |
| identifier other | JCLI-D-22-0737.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4291017 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Long-Term Changes, Synoptic Behaviors, and Future Projections of Large-Scale Anomalous Precipitation Events in China Detected by a Deep Learning Autoencoder | |
| type | Journal Paper | |
| journal volume | 36 | |
| journal issue | 12 | |
| journal title | Journal of Climate | |
| identifier doi | 10.1175/JCLI-D-22-0737.1 | |
| page | 4149-4133 | |
| tree | Journal of Climate:;2023:;volume( 036 ):;issue: 012 | |
| contenttype | Fulltext |