{"@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/1363388844902640000.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1175/jcli-d-14-00311.1"}},{"identifier":{"@type":"URI","@value":"https://journals.ametsoc.org/view/journals/clim/28/10/jcli-d-14-00311.1.xml"}},{"identifier":{"@type":"URI","@value":"https://journals.ametsoc.org/downloadpdf/journals/clim/28/10/jcli-d-14-00311.1.xml"}}],"dc:title":[{"@value":"Resolution Dependence of Future Tropical Cyclone Projections of CAM5.1 in the U.S. CLIVAR Hurricane Working Group Idealized Configurations"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Abstract</jats:title><jats:p>The four idealized configurations of the U.S. CLIVAR Hurricane Working Group are integrated using the global Community Atmospheric Model version 5.1 at two different horizontal resolutions, approximately 100 and 25 km. The publicly released 0.9° × 1.3° configuration is a poor predictor of the sign of the 0.23° × 0.31° model configuration’s change in the total number of tropical storms in a warmer climate. However, it does predict the sign of the higher-resolution configuration’s change in the number of intense tropical cyclones in a warmer climate. In the 0.23° × 0.31° model configuration, both increased CO<jats:sub>2</jats:sub> concentrations and elevated sea surface temperature (SST) independently lower the number of weak tropical storms and shorten their average duration. Conversely, increased SST causes more intense tropical cyclones and lengthens their average duration, resulting in a greater number of intense tropical cyclone days globally. Increased SST also increased maximum tropical storm instantaneous precipitation rates across all storm intensities. It was found that while a measure of maximum potential intensity based on climatological mean quantities adequately predicts the 0.23° × 0.31° model’s forced response in its most intense simulated tropical cyclones, a related measure of cyclogenesis potential fails to predict the model’s actual cyclogenesis response to warmer SSTs. These analyses lead to two broader conclusions: 1) Projections of future tropical storm activity obtained by a direct tracking of tropical storms simulated by coarse-resolution climate models must be interpreted with caution. 2) Projections of future tropical cyclogenesis obtained from metrics of model behavior that are based solely on changes in long-term climatological fields and tuned to historical records must also be interpreted with caution.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1383388844902640129","@type":"Researcher","foaf:name":[{"@value":"Michael Wehner"}],"jpcoar:affiliationName":[{"@value":"Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844902640000","@type":"Researcher","foaf:name":[{"@value":"Prabhat"}],"jpcoar:affiliationName":[{"@value":"Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844902640001","@type":"Researcher","foaf:name":[{"@value":"Kevin A. Reed"}],"jpcoar:affiliationName":[{"@value":"National Center for Atmospheric Research,* Boulder, Colorado"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844902640002","@type":"Researcher","foaf:name":[{"@value":"Dáithí Stone"}],"jpcoar:affiliationName":[{"@value":"Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844902640003","@type":"Researcher","foaf:name":[{"@value":"William D. Collins"}],"jpcoar:affiliationName":[{"@value":"Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California"}]},{"@id":"https://cir.nii.ac.jp/crid/1383388844902640128","@type":"Researcher","foaf:name":[{"@value":"Julio Bacmeister"}],"jpcoar:affiliationName":[{"@value":"National Center for Atmospheric Research,* Boulder, Colorado"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"08948755"},{"@type":"EISSN","@value":"15200442"}],"prism:publicationName":[{"@value":"Journal of Climate"}],"dc:publisher":[{"@value":"American Meteorological Society"}],"prism:publicationDate":"2015-05-15","prism:volume":"28","prism:number":"10","prism:startingPage":"3905","prism:endingPage":"3925"},"reviewed":"false","url":[{"@id":"https://journals.ametsoc.org/view/journals/clim/28/10/jcli-d-14-00311.1.xml"},{"@id":"https://journals.ametsoc.org/downloadpdf/journals/clim/28/10/jcli-d-14-00311.1.xml"}],"createdAt":"2015-02-12","modifiedAt":"2024-08-01","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050012570393522816","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Outcomes and challenges of global high-resolution non-hydrostatic atmospheric simulations using the K computer"}]},{"@id":"https://cir.nii.ac.jp/crid/1360002215303326208","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Projection of future changes in the frequency of intense tropical cyclones"}]},{"@id":"https://cir.nii.ac.jp/crid/1360565168765677568","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Response of Tropical Cyclone Activity and Structure to Global Warming in a High-Resolution Global Nonhydrostatic Model"}]},{"@id":"https://cir.nii.ac.jp/crid/1360846639281473408","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Future Changes in Tropical Cyclone Activity in High‐Resolution Large‐Ensemble Simulations"}]},{"@id":"https://cir.nii.ac.jp/crid/1360848656998532736","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Assessment of long-term impact of storm surges around the Korean Peninsula based on a large ensemble of climate projections"}]},{"@id":"https://cir.nii.ac.jp/crid/1360853567779080064","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Projected Future Changes in Tropical Cyclones Using the CMIP6 HighResMIP Multimodel Ensemble"}]},{"@id":"https://cir.nii.ac.jp/crid/2050588892101960576","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Evaluation of the contribution of tropical cyclone seeds to changes in tropical cyclone frequency due to global warming in high-resolution multi-model ensemble simulations"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1175/jcli-d-14-00311.1"},{"@type":"CROSSREF","@value":"10.1007/s00382-016-3361-7_references_DOI_Rr8KdXmVKN1zRKSvoEhxBJiLXti"},{"@type":"CROSSREF","@value":"10.1175/jcli-d-17-0068.1_references_DOI_Rr8KdXmVKN1zRKSvoEhxBJiLXti"},{"@type":"CROSSREF","@value":"10.1029/2020gl088662_references_DOI_VIkEOWcWiINv7nj0u0yex38mmJI"},{"@type":"CROSSREF","@value":"10.1186/s40645-017-0127-8_references_DOI_Rr8KdXmVKN1zRKSvoEhxBJiLXti"},{"@type":"CROSSREF","@value":"10.1186/s40645-020-00397-1_references_DOI_Rr8KdXmVKN1zRKSvoEhxBJiLXti"},{"@type":"CROSSREF","@value":"10.1016/j.coastaleng.2018.09.008_references_DOI_Rr8KdXmVKN1zRKSvoEhxBJiLXti"},{"@type":"CROSSREF","@value":"10.1002/2017gl075058_references_DOI_Rr8KdXmVKN1zRKSvoEhxBJiLXti"}]}