Deep Learning of a 200-Member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events
contributor author | Ghazvinian, Mohammadvaghef | |
contributor author | Delle Monache, Luca | |
contributor author | Afzali Gorooh, Vesta | |
contributor author | Steinhoff, Daniel | |
contributor author | Sengupta, Agniv | |
contributor author | Hu, Weiming | |
contributor author | Simpson, Matthew | |
contributor author | Weihs, Rachel | |
contributor author | Papadopoulos, Caroline | |
contributor author | Mulrooney, Patrick | |
contributor author | Kawzenuk, Brian | |
contributor author | Mascioli, Nora | |
contributor author | Ralph, Fred Martin | |
date accessioned | 2024-12-24T14:58:21Z | |
date available | 2024-12-24T14:58:21Z | |
date copyright | 01 Jul. 2024 | |
date issued | 2024 | |
identifier other | mwre-MWR-D-23-0277.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301618 | |
language | English | |
publisher | American Meteorological Society | |
title | Deep Learning of a 200-Member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events | |
type | Journal Paper | |
journal volume | 152 | |
journal issue | 7 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/MWR-D-23-0277.1 | |
journal fristpage | 1587 | |
journal lastpage | 1605 | |
tree | Monthly Weather Review:;2024:;volume( 152 ):;issue: 007 | |
contenttype | Fulltext |