Assessing Tropical Pacific–Induced Predictability of Southern California Precipitation Using a Novel Multi-Input Multioutput AutoencoderSource: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004DOI: 10.1175/AIES-D-23-0003.1Publisher: American Meteorological Society
|
Collections
Show full item record
| contributor author | Passarella, Linsey S. | |
| contributor author | Mahajan, Salil | |
| date accessioned | 2024-12-24T15:04:13Z | |
| date available | 2024-12-24T15:04:13Z | |
| date copyright | 01 Oct. 2023 | |
| date issued | 2023 | |
| identifier other | aies-AIES-D-23-0003.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301771 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Assessing Tropical Pacific–Induced Predictability of Southern California Precipitation Using a Novel Multi-Input Multioutput Autoencoder | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 4 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-23-0003.1 | |
| journal lastpage | e230003 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004 | |
| contenttype | Fulltext |