このアイテムのアクセス数: 78
このアイテムのファイル:
ファイル | 記述 | サイズ | フォーマット | |
---|---|---|---|---|
sola.2021-024.pdf | 10.62 MB | Adobe PDF | 見る/開く |
完全メタデータレコード
DCフィールド | 値 | 言語 |
---|---|---|
dc.contributor.author | Wu, Pin-Ying | en |
dc.contributor.author | Takemi, Tetsuya | en |
dc.contributor.alternative | 竹見, 哲也 | ja |
dc.date.accessioned | 2022-06-22T02:26:28Z | - |
dc.date.available | 2022-06-22T02:26:28Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://hdl.handle.net/2433/274488 | - |
dc.description.abstract | Identical 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.iso | eng | - |
dc.publisher | Meteorological Society of Japan | en |
dc.publisher.alternative | 日本気象学会 | ja |
dc.rights | © The Author(s) 2021. | en |
dc.rights | This 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.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.title | The impact of topography on the initial error growth associated with moist convection | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | SOLA | en |
dc.identifier.volume | 17 | - |
dc.identifier.spage | 134 | - |
dc.identifier.epage | 139 | - |
dc.relation.doi | 10.2151/sola.2021-024 | - |
dc.textversion | publisher | - |
dc.relation.NAID | 130008070033 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 18H01680 | - |
datacite.awardNumber | 20H00289 | - |
datacite.awardNumber | 21H01591. | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18H01680/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H00289/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21H01591/ | - |
dc.identifier.eissn | 1349-6476 | - |
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 |

このアイテムは次のライセンスが設定されています: クリエイティブ・コモンズ・ライセンス