{"created":"2023-07-25T09:58:37.155162+00:00","id":1746,"links":{},"metadata":{"_buckets":{"deposit":"870d855b-0d21-404c-92e7-53461d8c2367"},"_deposit":{"created_by":16,"id":"1746","owners":[16],"pid":{"revision_id":0,"type":"depid","value":"1746"},"status":"published"},"_oai":{"id":"oai:oacis.repo.nii.ac.jp:00001746","sets":["187:191:363","41:366","70:364"]},"author_link":["2886","2885","2888","2881","2884","2883","2460","2887","2882"],"item_3_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2016-06","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"7063","bibliographicPageStart":"7041","bibliographicVolumeNumber":"121","bibliographic_titles":[{"bibliographic_title":"Journal of Geophysical Research: Atmospheres"}]}]},"item_3_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Evaluation of cloud radiative effects (CREs) in global atmospheric models is of vital importance to reduce uncertainties in weather forecasting and future climate projection. In this paper, we describe an effective way to evaluate CREs from a 3.5 km mesh global nonhydrostatic model by comparing it against A-train satellite data. The model is the Nonhydrostatic Icosahedral Atmospheric Model (NICAM), and its output is run through a satellite-sensor simulator (Joint Simulator for satellite sensors) to produce the equivalent CloudSat radar, CALIPSO lidar, and Aqua Clouds and the Earth’s Radiant Energy System (CERES) data. These simulated observations are then compared to real observations from the satellites. Wefocus on the Arctic, which is a region experiencing rapid climate change over various surface types. The NICAM simulation significantly overestimates the shortwave CREs at top of atmosphere and surface as large as 24Wm-2 for the\nmonth of June. The CREs were decomposed into cloud fractions and footprint CREs of cloud types that are defined based on the CloudSat-CALIPSO cloud top temperature and maximum radar reflectivity. It turned out that the simulation underestimates the cloud fraction and optical thickness of mixed-phase clouds due to predicting too little supercooled liquid and predicting overly large snow particles with too little mass content. This bias was partially offset by predicting too many optically thin high clouds. Offline sensitivity experiments, where cloud microphysical parameters, surface albedo, and single scattering parameters are varied, support the diagnosis. Aerosol radiative effects and nonspherical single scattering of ice particles should be introduced into the NICAM broadband calculation for further improvement."}]},"item_3_description_63":{"attribute_name":"研究課題番号","attribute_value_mlt":[{"subitem_description":"15K17759"}]},"item_3_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"American Geophysical Union"}]},"item_3_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1002/2016JD024775","subitem_relation_type_select":"DOI"}}]},"item_3_relation_13":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"Publisher's Version/PDF (OpenAccess)"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2016JD024775","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"KAKEN研究課題: 高解像度気候計算のための広帯域放射伝達モデルの革新的研究"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-15K17759/","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"研究代表者: 関口 美保 (東京海洋⼤学)"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://nrid.nii.ac.jp/ja/nrid/1000000377079/","subitem_relation_type_select":"URI"}}]},"item_3_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2169-897X","subitem_source_identifier_type":"ISSN"}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA10819765","subitem_source_identifier_type":"NCID"}]},"item_3_subject_62":{"attribute_name":"件名","attribute_value_mlt":[{"subitem_subject":"科学研究費研究成果"}]},"item_3_subject_64":{"attribute_name":"科学研究費研究課題","attribute_value_mlt":[{"subitem_subject":"高解像度気候計算のための広帯域放射伝達モデルの革新的研究"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hashino, Tempei"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Satoh, Masaki"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hagihara, Yuichiro"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kato, Seiji"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kubota, Takuji"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Matsui, Toshihisa "}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nasuno, Tomoe "}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Okamoto, Hajime"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"","affiliationNameIdentifierScheme":"ISNI"}],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"関口, 美保","creatorNameLang":"ja"},{"creatorName":"セキグチ, ミホ","creatorNameLang":"ja-Kana"},{"creatorName":"Sekiguchi, Miho","creatorNameLang":"ja-Kana"}],"familyNames":[{"familyNameLang":"ja"},{"familyNameLang":"ja-Kana"},{"familyNameLang":"ja-Kana"}],"givenNames":[{"givenNameLang":"ja"},{"givenNameLang":"ja-Kana"},{"givenNameLang":"ja-Kana"}],"nameIdentifiers":[{},{}]}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"model evaluation","subitem_subject_scheme":"Other"},{"subitem_subject":"A‐train","subitem_subject_scheme":"Other"},{"subitem_subject":"global cloud‐resolving model","subitem_subject_scheme":"Other"},{"subitem_subject":"satellite data simulator","subitem_subject_scheme":"Other"},{"subitem_subject":"cloud radiative effects","subitem_subject_scheme":"Other"},{"subitem_subject":"cloud microphysics","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":"journal article"}]},"item_title":"Evaluating Arctic cloud radiative effects simulated by NICAM with A‐train","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Evaluating Arctic cloud radiative effects simulated by NICAM with A‐train"}]},"item_type_id":"3","owner":"16","path":["363","364","366"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-06-03"},"publish_date":"2019-06-03","publish_status":"0","recid":"1746","relation_version_is_last":true,"title":["Evaluating Arctic cloud radiative effects simulated by NICAM with A‐train"],"weko_creator_id":"16","weko_shared_id":-1},"updated":"2024-04-23T05:03:05.428435+00:00"}