Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3329
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dc.contributor.authorMANI, NEENA JOSEPHen_US
dc.contributor.authorWaliser, Duaneen_US
dc.contributor.authorJiang, Xiananen_US
dc.date.accessioned2019-07-01T05:37:14Z
dc.date.available2019-07-01T05:37:14Z
dc.date.issued2017-03en_US
dc.identifier.citationClimate Dynamics, 48,(5-6), 1661-1683.en_US
dc.identifier.issn0930-7575en_US
dc.identifier.issn1432-0894en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3329-
dc.identifier.urihttps://doi.org/10.1007/s00382-016-3166-8en_US
dc.description.abstractRRepresentation of the boreal summer intraseasonal oscillations (BSISO) is evaluated in the 20-year climate simulations from 27 general circulation models (GCMs), produced as part of a global multi-model evaluation project coordinated to study the vertical structure and physical processes of the Madden–Julian oscillation (MJO). Model performance metrics are developed to assess the simulated BSISO characteristics, with a special focus on its northward propagation over the Asian monsoon domain. Several process-oriented diagnostics developed by the MJO community are also tested for the BSISO. Simulating the phase speed and meridional extent of BSISO northward propagation, the northwest–southeast tilted rain-band structure and the quasi-biweekly mode are identified as some of the persisting problems for many GCMs. Interestingly, many of the GCMs, which capture BSISO eastward propagation, also show good fidelity in simulating BSISO northward propagation. Meridional vertical profiles of anomalous wind, temperature and diabatic heating of BSISO are better simulated in the GCMs that simulate the northward propagation. Process-oriented diagnostics based on seasonal mean vertical shear of zonal and meridional wind, large-scale rain fraction and relative humidity are also examined, but it still remains challenge to find a process diagnostic which is strongly linked to BSISO northward propagation. The complex spatial structure and presence of multi-scale disturbances, demand the development of more focused GCM evaluation metrics and process diagnostics specifically for the BSISO.en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.subjectPerformance metricsen_US
dc.subjectProcess diagnosticsen_US
dc.subjectBoreal summeren_US
dc.subjectIntraseasonal variabilityen_US
dc.subjectBoreal summer intraseasonalen_US
dc.subjectOscillation Processen_US
dc.subjectOriented diagnostic metricsen_US
dc.subjectMulti-model evaluationen_US
dc.subject2017en_US
dc.titleModel performance metrics and process diagnostics for boreal summer intraseasonal variabilityModel performance metrics and process diagnostics for boreal summer intraseasonal variabilityen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Earth and Climate Scienceen_US
dc.identifier.sourcetitleClimate Dynamicsen_US
dc.publication.originofpublisherForeignen_US
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