{"created":"2023-06-20T14:35:41.416686+00:00","id":1962,"links":{},"metadata":{"_buckets":{"deposit":"2076653f-cec2-4fe9-9ef0-386f7fedc6e3"},"_deposit":{"created_by":1,"id":"1962","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"1962"},"status":"published"},"_oai":{"id":"oai:jaxa.repo.nii.ac.jp:00001962","sets":["1398:1399:1405","1887:1893","9:10:75:77"]},"author_link":["1868","1867","1864","1865","1866","1870","1863","1871","1874","1860","1861","1873","1869","1875","1862","1872"],"item_3_alternative_title_2":{"attribute_name":"その他のタイトル（英）","attribute_value_mlt":[{"subitem_alternative_title":"Inverse analysis methods for SMILES Level 2 data processing"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2014-03-31","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"118","bibliographicPageStart":"109","bibliographicVolumeNumber":"JAXA-RR-13-010","bibliographic_titles":[{"bibliographic_title":"宇宙航空研究開発機構研究開発報告: 宇宙科学情報解析論文誌: 第3号"},{"bibliographic_title":"JAXA Research and Development Report: Journal of Space Science Informatics Japan: Volume 3","bibliographic_titleLang":"en"}]}]},"item_3_description_16":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"SMILES 地上データ処理では校正済み輝度温度スペクトル（Level 1B データ）から微量気体分子の混合比鉛直分布等 （Level 2 データ）を導出する際に逆問題を取り扱う．測定から得られる情報が十分でない場合，外部から付加的な情報を与えて解を安定化させる必要があるが，そのために様々な数学的手法が考案されている．本研究ではOptimal Estimation Method (OEM), Tikhonov Regularization Method (TRM), Maximum Entropy Method (MEM) の3 つの正則化法について比較を行い，SMILES のデータ解析に適した方法を調べた．その結果，OEM + TRMのハイブリッド法を用いると多くの場合において最も良い結果が得られることが分かった．","subitem_description_type":"Abstract"}]},"item_3_description_17":{"attribute_name":"抄録（英）","attribute_value_mlt":[{"subitem_description":"In the SMILES Level 2 data processing, an inverse problem occurs when deriving mixing ratios of trace gas species from observed brightness temperature spectra. If the information content from the observation is not enough, it is necessary to give additional information from outside to stabilize the solution, and there exist a lot of mathematical techniques for such purposes. In this research, we compared three regularization methods, namely Optimal Estimation Method (OEM), Tikhonov Regularization Method (TRM), and Maximum Entropy Method (MEM), and investigated the most favorable regularization method for SMILES. It turned out that in most cases a hybrid method of OEM + TRM gives the best solution.","subitem_description_type":"Other"}]},"item_3_description_18":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"形態: カラー図版あり","subitem_description_type":"Other"}]},"item_3_description_19":{"attribute_name":"内容記述（英）","attribute_value_mlt":[{"subitem_description":"Physical characteristics: Original contains color illustrations","subitem_description_type":"Other"}]},"item_3_description_32":{"attribute_name":"資料番号","attribute_value_mlt":[{"subitem_description":"資料番号: AA0062302012","subitem_description_type":"Other"}]},"item_3_description_33":{"attribute_name":"レポート番号","attribute_value_mlt":[{"subitem_description":"レポート番号: JAXA-RR-13-010","subitem_description_type":"Other"}]},"item_3_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"宇宙航空研究開発機構(JAXA)"}]},"item_3_publisher_9":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"Japan Aerospace Exploration Agency (JAXA)"}]},"item_3_source_id_21":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1349-1113","subitem_source_identifier_type":"ISSN"}]},"item_3_source_id_24":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1192675X","subitem_source_identifier_type":"NCID"}]},"item_3_text_6":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"千葉大学環境リモートセンシング研究センター"},{"subitem_text_value":"宇宙航空研究開発機構宇宙科学研究所PLANET-Cプロジェクトチーム(JAXA)(ISAS)"},{"subitem_text_value":"宇宙航空研究開発機構宇宙科学研究所ＩＳＳ科学プロジェクト室(JAXA)(ISAS)"},{"subitem_text_value":"宇宙航空研究開発機構宇宙科学研究所学際科学研究系(JAXA)(ISAS)"},{"subitem_text_value":"富士通エフ・アイ・ピー株式会社"},{"subitem_text_value":"京都大学数理解析研究所"},{"subitem_text_value":"京都大学数理解析研究所"},{"subitem_text_value":"京都大学生存圏研究所"}]},"item_3_text_7":{"attribute_name":"著者所属（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Center for Environmental Remote Sensing, Chiba University"},{"subitem_text_language":"en","subitem_text_value":"Planet-C Project Team, Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)"},{"subitem_text_language":"en","subitem_text_value":"ISS Science Project Office, Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)"},{"subitem_text_language":"en","subitem_text_value":"Department of Interdisciplinary Space Science, Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)"},{"subitem_text_language":"en","subitem_text_value":"Fujitsu FIP Corporation"},{"subitem_text_language":"en","subitem_text_value":"Research Institute for Mathematical Sciences, Kyoto University"},{"subitem_text_language":"en","subitem_text_value":"Research Institute for Mathematical Sciences, Kyoto University"},{"subitem_text_language":"en","subitem_text_value":"Research Institute for Sustainable Humanosphere, Kyoto University"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"眞子, 直弘"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木, 睦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐野, 琢己"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"今井, 弘二"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"光田, 千紘"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山田, 道夫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"竹広, 真一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"塩谷, 雅人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Manago, Naohiro","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Suzuki, Makoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sano, Takuki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Imai, Koji","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mitsuda, Chihiro","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yamada, Michio","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takehiro, Shinichi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shiotani, Masato","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-01-15"}],"displaytype":"detail","filename":"62302012.pdf","filesize":[{"value":"1.8 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"62302012.pdf","url":"https://jaxa.repo.nii.ac.jp/record/1962/files/62302012.pdf"},"version_id":"58830f55-940b-4079-81c8-e5799db2f0ee"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Inverse Analysis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Regularization","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"technical report","resourceuri":"http://purl.org/coar/resource_type/c_18gh"}]},"item_title":"SMILES Level 2 データ処理における逆問題の解析手法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"SMILES Level 2 データ処理における逆問題の解析手法"}]},"item_type_id":"3","owner":"1","path":["77","1405","1893"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-26"},"publish_date":"2015-03-26","publish_status":"0","recid":"1962","relation_version_is_last":true,"title":["SMILES Level 2 データ処理における逆問題の解析手法"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-21T09:31:30.774152+00:00"}