{"_buckets": {"deposit": "ac8ec1d7-3346-4194-a003-1e8c9c74017c"}, "_deposit": {"created_by": 10, "id": "4083", "owners": [10], "pid": {"revision_id": 0, "type": "depid", "value": "4083"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00004083", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2019-05-15", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "722", "bibliographicPageEnd": "2160", "bibliographicPageStart": "2139", "bibliographicVolumeNumber": "145", "bibliographic_titles": [{"bibliographic_title": "Quarterly Journal of the Royal Meteorological Society", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "The assimilation impact of high‐temporal volume scan data (1 min) on very‐short‐range (within 1 h) quantitative precipitation forecasts (QPFs) of a severe storm was investigated using a nudging data assimilation method. This study investigated (a) the assimilation impact of two observational parameters (potential temperature, retrieved using a traditional technique and pseudo‐water vapour, obtained from reflectivity observations), (b) the sensitivity to the temporal resolution of three‐dimensional radar observations, and (c) the assimilation method (re‐initialization at a single time or sequential nudging over 20 min), regarding the predictability of a tornadic storm observed on 2 September 2013 around Koshigaya City, Japan. Our results indicate that (a) data assimilation of both pseudo‐water vapour and potential temperature perturbation demonstrated the highest contribution for up to the first 30 min of the evaluation period (50 min in total), (b) finer temporal resolution provided a better forecast overall, and (c) a nudging scheme provided a better forecast in the first 30 min. Our results showed better predictability than traditional extrapolation‐based nowcasts in the latter 40 min of the evaluation period. The data assimilation with water vapour and potential temperature, determined from a 1 min volume scan, therefore has the potential to extend the cloud‐scale predictability in strong rainfall intensity situations (\u0026gt;20 mm/h) of very‐short‐range QPFs (within 30 min).", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "Wiley", "subitem_publisher_language": "en"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.1002/qj.3548"}}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1477-870X", "subitem_source_identifier_type": "EISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Shingo Shimizu", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Koyuru Iwanami", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Ryohei Kato", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Namiko Sakurai", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Takeshi Maesaka", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Kaori Kieda", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Yukari Shusse", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Shin‐ichi Suzuki", "creatorNameLang": "en"}]}]}, "item_title": "Assimilation impact of high‐temporal‐resolution volume scans on quantitative precipitation forecasts in a severe storm: Evidence from nudging data assimilation experiments with a thermodynamic retrieval method", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Assimilation impact of high‐temporal‐resolution volume scans on quantitative precipitation forecasts in a severe storm: Evidence from nudging data assimilation experiments with a thermodynamic retrieval method", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "10", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/4083", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2024-05-06"}, "publish_date": "2024-05-06", "publish_status": "0", "recid": "4083", "relation": {}, "relation_version_is_last": true, "title": ["Assimilation impact of high‐temporal‐resolution volume scans on quantitative precipitation forecasts in a severe storm: Evidence from nudging data assimilation experiments with a thermodynamic retrieval method"], "weko_shared_id": -1}