Uncertainty Quantification of Deep Learning–Based Statistical Downscaling of Climatic ParametersSource: Journal of Applied Meteorology and Climatology:;2023:;volume( 062 ):;issue: 009::page 1223Author:Nourani, Vahid
,
Khodkar, Kasra
,
Baghanam, Aida Hosseini
,
Kantoush, Sameh Ahmed
,
Demir, Ibrahim
DOI: 10.1175/JAMC-D-23-0057.1Publisher: American Meteorological Society
|
Collections
Show full item record
contributor author | Nourani, Vahid | |
contributor author | Khodkar, Kasra | |
contributor author | Baghanam, Aida Hosseini | |
contributor author | Kantoush, Sameh Ahmed | |
contributor author | Demir, Ibrahim | |
date accessioned | 2024-12-24T14:16:37Z | |
date available | 2024-12-24T14:16:37Z | |
date copyright | 01 Sep. 2023 | |
date issued | 2023 | |
identifier other | apme-JAMC-D-23-0057.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4300464 | |
language | English | |
publisher | American Meteorological Society | |
title | Uncertainty Quantification of Deep Learning–Based Statistical Downscaling of Climatic Parameters | |
type | Journal Paper | |
journal volume | 62 | |
journal issue | 9 | |
journal title | Journal of Applied Meteorology and Climatology | |
identifier doi | 10.1175/JAMC-D-23-0057.1 | |
journal fristpage | 1223 | |
journal lastpage | 1242 | |
tree | Journal of Applied Meteorology and Climatology:;2023:;volume( 062 ):;issue: 009 | |
contenttype | Fulltext |