A Deep Learning–Based Velocity Dealiasing Algorithm Derived from the WSR-88D Open Radar Product GeneratorSource: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 003Author:Veillette, Mark S.
,
Kurdzo, James M.
,
Stepanian, Phillip M.
,
McDonald, Joseph
,
Samsi, Siddharth
,
Cho, John Y. N.
DOI: 10.1175/AIES-D-22-0084.1Publisher: American Meteorological Society
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contributor author | Veillette, Mark S. | |
contributor author | Kurdzo, James M. | |
contributor author | Stepanian, Phillip M. | |
contributor author | McDonald, Joseph | |
contributor author | Samsi, Siddharth | |
contributor author | Cho, John Y. N. | |
date accessioned | 2024-12-24T15:03:48Z | |
date available | 2024-12-24T15:03:48Z | |
date copyright | 01 Jul. 2023 | |
date issued | 2023 | |
identifier other | aies-AIES-D-22-0084.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301760 | |
language | English | |
publisher | American Meteorological Society | |
title | A Deep Learning–Based Velocity Dealiasing Algorithm Derived from the WSR-88D Open Radar Product Generator | |
type | Journal Paper | |
journal volume | 2 | |
journal issue | 3 | |
journal title | Artificial Intelligence for the Earth Systems | |
identifier doi | 10.1175/AIES-D-22-0084.1 | |
journal lastpage | e220084 | |
tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 003 | |
contenttype | Fulltext |