Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM ArchitectureSource: Journal of Hydrometeorology:;2024:;volume( 025 ):;issue: 006::page 947Author:Rahimi, Reyhaneh
,
Ravirathinam, Praveen
,
Ebtehaj, Ardeshir
,
Behrangi, Ali
,
Tan, Jackson
,
Kumar, Vipin
DOI: 10.1175/JHM-D-23-0119.1Publisher: American Meteorological Society
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contributor author | Rahimi, Reyhaneh | |
contributor author | Ravirathinam, Praveen | |
contributor author | Ebtehaj, Ardeshir | |
contributor author | Behrangi, Ali | |
contributor author | Tan, Jackson | |
contributor author | Kumar, Vipin | |
date accessioned | 2024-12-24T15:04:54Z | |
date available | 2024-12-24T15:04:54Z | |
date copyright | 01 Jun. 2024 | |
date issued | 2024 | |
identifier other | hydr-JHM-D-23-0119.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301792 | |
language | English | |
publisher | American Meteorological Society | |
title | Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture | |
type | Journal Paper | |
journal volume | 25 | |
journal issue | 6 | |
journal title | Journal of Hydrometeorology | |
identifier doi | 10.1175/JHM-D-23-0119.1 | |
journal fristpage | 947 | |
journal lastpage | 963 | |
tree | Journal of Hydrometeorology:;2024:;volume( 025 ):;issue: 006 | |
contenttype | Fulltext |