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Using the U.S. Climate Reference Network to Identify Biases in Near- and Subsurface Meteorological Fields in the High-Resolution Rapid Refresh (HRRR) Weather Prediction Model

dc.contributor.authorLee, Temple R.
dc.contributor.authorLeeper, Ronald D.
dc.contributor.authorWilson, Tim
dc.contributor.authorDiamond, Howard J.
dc.contributor.authorMeyers, Tilden P.
dc.contributor.authorTurner, David D.
dc.date.accessioned2024-12-24T13:52:18Z
dc.date.available2024-12-24T13:52:18Z
dc.date.copyright01 Jun. 2023
dc.date.issued2023
dc.identifier.otherwefo-WAF-D-22-0213.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299749
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleUsing the U.S. Climate Reference Network to Identify Biases in Near- and Subsurface Meteorological Fields in the High-Resolution Rapid Refresh (HRRR) Weather Prediction Model
dc.typeJournal Paper
dc.journal.volume38
dc.journal.issue6
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-22-0213.1
dc.journal.fristpage879
dc.journal.lastpage900
dc.treeWeather and Forecasting:;2023:;volume( 038 ):;issue: 006
dc.contenttypeFulltext


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