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dc.contributor.authorWu, Pin-Yingen
dc.contributor.authorTakemi, Tetsuyaen
dc.contributor.alternative竹見, 哲也ja
dc.date.accessioned2022-06-22T02:26:28Z-
dc.date.available2022-06-22T02:26:28Z-
dc.date.issued2021-
dc.identifier.urihttp://hdl.handle.net/2433/274488-
dc.description.abstractIdentical twin experiments with and without topography are conducted with the Weather Research and Forecasting (WRF) model in an idealized framework to investigate the impact of topography on the initial error growth associated with moist convection. A topography is set as a single Gaussian shape mountain with a peak height of about 1000 m. Both experiments show clear diurnal cycles, while moist convection develops earlier and organizes to a larger size in the experiment with topography. To evaluate the initial error growth, a metric referred to as moist difference total energy (MDTE) is proposed to represent the differences between the two simulations in twin experiments. The horizontal spatial distribution, temporal evolution, and horizontal wavenumber space of the MDTE suggest that the error growth is greatly dominated by the different features of convection development between the two experiments. The analysis based on individual cloud areas shows that the convective clouds developing over the mountain have smaller MDTE at the early stage of development.en
dc.language.isoeng-
dc.publisherMeteorological Society of Japanen
dc.publisher.alternative日本気象学会ja
dc.rights© The Author(s) 2021.en
dc.rightsThis is an open access article published by the Meteorological Society of Japan under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.titleThe impact of topography on the initial error growth associated with moist convectionen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleSOLAen
dc.identifier.volume17-
dc.identifier.spage134-
dc.identifier.epage139-
dc.relation.doi10.2151/sola.2021-024-
dc.textversionpublisher-
dc.relation.NAID130008070033-
dcterms.accessRightsopen access-
datacite.awardNumber18H01680-
datacite.awardNumber20H00289-
datacite.awardNumber21H01591.-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18H01680/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H00289/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21H01591/-
dc.identifier.eissn1349-6476-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle気候変動に伴う都市における暴風災害リスクの評価ja
jpcoar.awardTitleメガストームに係る災害ハザードの近未来予測研究ja
jpcoar.awardTitle観測と建物解像モデリングを融合した市街地における局所降灰予測手法の確立ja
出現コレクション:学術雑誌掲載論文等

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