{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1390001205222435328.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.2151/sola.2014-043"}},{"identifier":{"@type":"URI","@value":"https://www.jstage.jst.go.jp/article/sola/10/0/10_2014-043/_pdf"}},{"identifier":{"@type":"NAID","@value":"130004713108"}}],"dc:title":[{"@language":"en","@value":"GPM/DPR Precipitation Compared with a 3.5-km-Resolution NICAM Simulation"}],"dc:language":"en","description":[{"type":"abstract","notation":[{"@language":"en","@value":"In February 2014, the Global Precipitation Measurement (GPM) satellite was launched successfully and started observing global precipitation using the new DPR (Dual-frequency Precipitation Radar) sensor. This study pioneers to compare the GPM/DPR precipitation products with other satellite-derived products and simulated precipitation from the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) at a 3.5-km horizontal resolution. The NICAM simulation outputs are converted to three-dimensional radar reflectivity using a radar simulator included in the joint simulator for satellite sensors (Joint-Simulator). We focus on the three frontal precipitation cases in the storm track regions, where the NICAM surface precipitation agrees generally well with an existing precipitation product “GSMaP”. The surface precipitation patterns, bright band heights and three-dimensional radar reflectivity of GPM/DPR generally agree with the corresponding variables from GSMaP, NICAM and the Joint-Simulator. However, the radar echo tops of GPM/DPR are systematically lower than that of NICAM-Joint-Simulator, suggesting that NICAM may overestimate mixing ratios of snow and graupel. The general agreement of surface precipitation patterns between GPM/DPR and the NICAM simulation encourages a possible use of GPM-derived precipitation data toward numerical weather prediction through data assimilation."}],"abstractLicenseFlag":"disallow"}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1420001326215382528","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"90729229"},{"@type":"NRID","@value":"1000090729229"},{"@type":"NRID","@value":"9000297483115"},{"@type":"NRID","@value":"9000399379797"},{"@type":"NRID","@value":"9000273020848"},{"@type":"NRID","@value":"9000290822041"},{"@type":"NRID","@value":"9000414832825"},{"@type":"NRID","@value":"9000399382463"},{"@type":"NRID","@value":"9000415324034"},{"@type":"NRID","@value":"9000018771347"},{"@type":"NRID","@value":"9000287293902"},{"@type":"NRID","@value":"9000399373128"},{"@type":"NRID","@value":"9000414515045"},{"@type":"NRID","@value":"9000405671382"},{"@type":"NRID","@value":"9000382214854"},{"@type":"NRID","@value":"9000311505177"},{"@type":"NRID","@value":"9000405672227"},{"@type":"NRID","@value":"9000258524235"},{"@type":"NRID","@value":"9000258524013"},{"@type":"NRID","@value":"9000347187054"},{"@type":"NRID","@value":"9000399373205"},{"@type":"NRID","@value":"9000317129782"},{"@type":"NRID","@value":"9000365542637"},{"@type":"NRID","@value":"9000399811541"},{"@type":"NRID","@value":"9000258523504"},{"@type":"NRID","@value":"9000311489189"},{"@type":"NRID","@value":"9000347187010"},{"@type":"NRID","@value":"9000399379958"},{"@type":"NRID","@value":"9000406228660"},{"@type":"NRID","@value":"9000283347101"},{"@type":"NRID","@value":"9000283893323"},{"@type":"NRID","@value":"9000317129784"},{"@type":"NRID","@value":"9000288832416"},{"@type":"NRID","@value":"9000243891798"},{"@type":"NRID","@value":"9000242083379"},{"@type":"NRID","@value":"9000345337044"},{"@type":"NRID","@value":"9000347187066"},{"@type":"NRID","@value":"9000414515412"},{"@type":"NRID","@value":"9000243891792"},{"@type":"RESEARCHMAP","@value":"https://researchmap.jp/skotsuki"}],"foaf:name":[{"@language":"en","@value":"Kotsuki 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Takemasa"}],"jpcoar:affiliationName":[{"@language":"en","@value":"Data Assimilation Research Team, RIKEN Advanced Institute for Computational Science"},{"@language":"en","@value":"Department of Atmospheric and Oceanic Science, University of Maryland, College Park"},{"@language":"en","@value":"Application Laboratory, Japan Agency for Marine-Earth Science and Technology"}]}],"publication":{"publicationIdentifier":[{"@type":"EISSN","@value":"13496476"}],"prism:publicationName":[{"@language":"en","@value":"SOLA"},{"@language":"en","@value":"SOLA"}],"dc:publisher":[{"@language":"en","@value":"Meteorological Society of Japan"},{"@language":"ja","@value":"公益社団法人 日本気象学会"}],"prism:publicationDate":"2014","prism:volume":"10","prism:number":"0","prism:startingPage":"204","prism:endingPage":"209"},"reviewed":"false","dcterms:accessRights":"http://purl.org/coar/access_right/c_abf2","url":[{"@id":"https://www.jstage.jst.go.jp/article/sola/10/0/10_2014-043/_pdf"}],"availableAt":"2014","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050568772252029952","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Evaluation of Precipitation Estimates by at-Launch Codes of GPM/DPR Algorithms Using Synthetic Data from TRMM/PR Observations"}]},{"@id":"https://cir.nii.ac.jp/crid/1050848249890900480","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO"}]},{"@id":"https://cir.nii.ac.jp/crid/1360011142935298688","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"A new dynamical framework of nonhydrostatic global model using the icosahedral grid"}]},{"@id":"https://cir.nii.ac.jp/crid/1360011142940587136","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"The NCEP/NCAR 40-Year Reanalysis Project"}]},{"@id":"https://cir.nii.ac.jp/crid/1360290617876079360","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Precipitation Ensemble Data Assimilation in NWP Models"}]},{"@id":"https://cir.nii.ac.jp/crid/1360292617913239936","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Evaluation of Precipitating Hydrometeor Parameterizations in a Single-Moment Bulk Microphysics Scheme for Deep Convective Systems over the Tropical Central 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Spaceborne Radar and Microwave Imager of the Global Precipitation Measurement as Reference"}]},{"@id":"https://cir.nii.ac.jp/crid/1360567186511386240","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Impact of Long-Term Observation on the Sampling Characteristics of TRMM PR Precipitation"}]},{"@id":"https://cir.nii.ac.jp/crid/1360574092888816384","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Global cloud‐system‐resolving model NICAM successfully simulated the lifecycles of two real tropical cyclones"}]},{"@id":"https://cir.nii.ac.jp/crid/1360574092891572096","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"The Global Precipitation Measurement Mission"}]},{"@id":"https://cir.nii.ac.jp/crid/1360855567863731200","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Nonhydrostatic icosahedral atmospheric model (NICAM) for global cloud resolving simulations"}]},{"@id":"https://cir.nii.ac.jp/crid/1360855567866655232","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Toward Cloud Resolving Modeling of Large-Scale Tropical Circulations: A Simple Cloud Microphysics Parameterization"}]},{"@id":"https://cir.nii.ac.jp/crid/1360861707154736768","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Ensemble‐Based Data Assimilation of GPM DPR Reflectivity: Cloud Microphysics Parameter Estimation With the Nonhydrostatic Icosahedral Atmospheric Model (NICAM)"}]},{"@id":"https://cir.nii.ac.jp/crid/1361137044963368192","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Comparison of Freezing-Level Altitudes from the NCEP Reanalysis with TRMM Precipitation Radar Brightband Data"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418520637131648","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"The Tropical Rainfall Measuring Mission (TRMM) Sensor Package"}]},{"@id":"https://cir.nii.ac.jp/crid/1361699995231782528","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"A melting‐layer model and its use in correcting for the bright band in single‐polarization radar echoes"}]},{"@id":"https://cir.nii.ac.jp/crid/1363670319430638848","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Simulation of Spaceborne Radar Observations of Precipitation: Application to GPM-DPR"}]},{"@id":"https://cir.nii.ac.jp/crid/1363951794455921664","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"NCEP–DOE AMIP-II Reanalysis (R-2)"}]},{"@id":"https://cir.nii.ac.jp/crid/1390282680198443264","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Early Evaluation of Ku- and Ka-Band Sensitivities for the Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR)"}]},{"@id":"https://cir.nii.ac.jp/crid/1390282681480687744","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"New Microphysical Schemes with Five and Six Categories by Diagnostic Generation of Cloud Ice"},{"@value":"New Microphysical Schemes with Five and Six Categories by Diagnostic Generation of Cloud Ice(<Special Issue>The International Workshop on High-Resolution and Cloud Modeling, 2006)"},{"@value":"New microphysics schemes with five and six categories by diagnostic generation of cloud ice"},{"@value":"New microphysics with five and six categories with diagnostic generation of cloud ice"}]},{"@id":"https://cir.nii.ac.jp/crid/1390282681481044864","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"A Kalman Filter Approach to the Global Satellite Mapping of Precipitation (GSMaP) from Combined Passive Microwave and Infrared Radiometric Data"},{"@value":"A Kalman Filter Approach to the Global Satellite Mapping of Precipitation (GSMaP) from Combined Passive Microwave and Infrared Radiometric Data(2. Global Satellite Mapping of Precipitation (GSMaP) Project,<Special Issue>Precipitation Measurements from Space)"}]},{"@id":"https://cir.nii.ac.jp/crid/1390282681481070848","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"TRMM PR Standard Algorithm 2A23 and its Performance on Bright Band Detection"},{"@value":"TRMM PR Standard Algorithm 2A23 and its Performance on Bright Band Detection(1. Precipitation Radar (PR),<Special Issue>Precipitation Measurements from Space)"}]},{"@id":"https://cir.nii.ac.jp/crid/1390851275429701248","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Progress from TRMM to GPM"},{"@language":"ja","@value":"熱帯降雨観測衛星（TRMM）から全球降水観測計画（GPM）への進歩"},{"@value":"Progress from TRMM to GPM : Special Edition on Global Precipitation Measurement (GPM) : 5th Anniversary"}]},{"@id":"https://cir.nii.ac.jp/crid/2051151842089639168","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"The Non-hydrostatic Icosahedral Atmospheric Model : description and development"}]}],"dataSourceIdentifier":[{"@type":"JALC","@value":"oai:japanlinkcenter.org:2000002657"},{"@type":"CROSSREF","@value":"10.2151/sola.2014-043"},{"@type":"CIA","@value":"130004713108"},{"@type":"OPENAIRE","@value":"doi_dedup___::e52b7f8881fda88b3a76bc196afa37af"},{"@type":"CROSSREF","@value":"10.2151/jmsj.2021-035_references_DOI_7Ch8EPbL71uMj0ep98t15bpq5KP"},{"@type":"CROSSREF","@value":"10.1175/jamc-d-16-0115.1_references_DOI_7Ch8EPbL71uMj0ep98t15bpq5KP"},{"@type":"CROSSREF","@value":"10.1007/978-3-030-35798-6_25_references_DOI_7Ch8EPbL71uMj0ep98t15bpq5KP"},{"@type":"CROSSREF","@value":"10.1175/mwr-d-21-0066.1_references_DOI_7Ch8EPbL71uMj0ep98t15bpq5KP"},{"@type":"CROSSREF","@value":"10.2151/sola.2015-004_references_DOI_7Ch8EPbL71uMj0ep98t15bpq5KP"},{"@type":"CROSSREF","@value":"10.1029/2022jd037447_references_DOI_7Ch8EPbL71uMj0ep98t15bpq5KP"}]}