{"created":"2023-05-15T12:35:54.060769+00:00","id":790,"links":{},"metadata":{"_buckets":{"deposit":"8eb3e4d6-9b4a-44a8-a10e-42b436a0b296"},"_deposit":{"created_by":2,"id":"790","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"790"},"status":"published"},"_oai":{"id":"oai:kutarr.kochi-tech.ac.jp:00000790","sets":["16:18"]},"author_link":["2123","2122"],"item_5_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2006-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2","bibliographic_titles":[{"bibliographic_title":"Society for Social Management Systems Internet Journal"}]}]},"item_5_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"To overcome poor spatial and physical problems of general circlulation models in the future climate projection, statistical downscaling methods (SDSMs) to convert large-scale circulation fields to local-scale climate factors using empirical relationships between large- and local-scale variables are effective. The purposes of this study are to develop the multiple regression-based SDSM method and to project future regional-scale heavy rainfall change over East Asia. An example is shown of the SDSM to the summer-time heavy rainfall over Japan with less than 10 km by 10 km horizontal scale. The SDSM-projection showed that summer-time rainfall magnitude increased around Hokuriku and Kyushu districts even though rainfall frequency decreased almost over Japan.","subitem_description_type":"Abstract"}]},"item_5_publisher_36":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Society for Social Management Systems"}]},"item_5_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2432-552X","subitem_source_identifier_type":"ISSN"}]},"item_5_version_type_19":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Nishimori, Motoki"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kitoh, Akio"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-02-13"}],"displaytype":"detail","filename":"SMS06-103.pdf","filesize":[{"value":"318.3 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"SMS06-103.pdf","url":"https://kutarr.kochi-tech.ac.jp/record/790/files/SMS06-103.pdf"},"version_id":"4ce8b84d-bda3-4ab9-8f69-bb5dd2ddc540"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"global climate change","subitem_subject_scheme":"Other"},{"subitem_subject":"heavy rainfall","subitem_subject_scheme":"Other"},{"subitem_subject":"Japan","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Estimation of Future Regional-Scale Heavy Rainfall Change over Japan and East Asia under the Global Climate Change by Using the Statistical Downscaling Method","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Estimation of Future Regional-Scale Heavy Rainfall Change over Japan and East Asia under the Global Climate Change by Using the Statistical Downscaling Method"}]},"item_type_id":"5","owner":"2","path":["18"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-02-06"},"publish_date":"2018-02-06","publish_status":"0","recid":"790","relation_version_is_last":true,"title":["Estimation of Future Regional-Scale Heavy Rainfall Change over Japan and East Asia under the Global Climate Change by Using the Statistical Downscaling Method"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-15T13:26:00.063088+00:00"}