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Extracting 3D Radar Features to Improve Quantitative Precipitation Estimation in Complex Terrain Based on Deep Learning Neural Networks

dc.contributor.authorCheng, Yung-Yun
dc.contributor.authorChang, Chia-Tung
dc.contributor.authorChen, Buo-Fu
dc.contributor.authorKuo, Hung-Chi
dc.contributor.authorLee, Cheng-Shang
dc.date.accessioned2024-12-24T13:49:27Z
dc.date.available2024-12-24T13:49:27Z
dc.date.copyright01 Feb. 2023
dc.date.issued2023
dc.identifier.otherwefo-WAF-D-22-0034.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299673
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleExtracting 3D Radar Features to Improve Quantitative Precipitation Estimation in Complex Terrain Based on Deep Learning Neural Networks
dc.typeJournal Paper
dc.journal.volume38
dc.journal.issue2
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-22-0034.1
dc.journal.fristpage273
dc.journal.lastpage289
dc.treeWeather and Forecasting:;2023:;volume( 038 ):;issue: 002
dc.contenttypeFulltext


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