Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/9906
DC FieldValueLanguage
dc.contributor.authorallSchindler, A.; MeteoSwissen
dc.contributor.authorallToreti, A.; JRCen
dc.contributor.authorallZampieri, M.; CMCCen
dc.contributor.authorallEnrico, S.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italiaen
dc.contributor.authorallSilvio, G.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italiaen
dc.contributor.authorallFukutome, S.; MeteoSwissen
dc.contributor.authorallXoplaki, E.; Justus-Liebig University of Giessenen
dc.contributor.authorallLuterbacher, J.; Justus-Liebig University of Giessenen
dc.date.accessioned2015-06-12T08:20:59Zen
dc.date.available2015-06-12T08:20:59Zen
dc.date.issued2015-05en
dc.identifier.urihttp://hdl.handle.net/2122/9906en
dc.description.abstractClimate model simulations are currently the main tool to provide information about possible future climates. Apart from scenario uncertainties and model error, internal variability is a major source of uncertainty, complicating predictions of future changes. Here, a suite of statistical tests is proposed to determine the shortest time window necessary to capture the internal precipitation variability in a stationary climate. The length of this shortest window thus expresses internal variability in terms of years. The method is applied globally to daily precipitation in a 200-yr preindustrial climate simulation with the CMCC-CM coupled general circulation model. The two-sample Cramér–von Mises test is used to assess differences in precipitation distribution, the Walker test accounts for multiple testing at grid cell level, and field significance is determined by calculating the Bejamini–Hochberg false-discovery rate. Results for the investigated simulation show that internal variability of daily precipitation is regionally and seasonally dependent and that regions requiring long time windows do not necessarily coincide with areas with large standard deviation. The estimated time scales are longer over sea than over land, in the tropics than in midlatitudes, and in the transitional seasons than in winter and summer. For many land grid cells, 30 seasons suffice to capture the internal variability of daily precipitation. There exist regions, however, where even 50 years do not suffice to sample the internal variability. The results show that diagnosing daily precipitation change at different times based on fixed global snapshots of one climate simulation might not be a robust detection method.en
dc.language.isoEnglishen
dc.publisher.nameAmerican Meteorological Societyen
dc.relation.ispartofJournal of climateen
dc.relation.ispartofseries/28 (2015)en
dc.subjectprecipitationen
dc.subjectinternal variabilityen
dc.titleOn the internal variability of simulated daily precipitationen
dc.typearticleen
dc.description.statusPublisheden
dc.type.QualityControlPeer-revieweden
dc.description.pagenumber3624–3630en
dc.identifier.URLhttp://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-14-00745.1en
dc.subject.INGV01. Atmosphere::01.01. Atmosphere::01.01.02. Climateen
dc.identifier.doi10.1175/JCLI-D-14-00745.1en
dc.description.obiettivoSpecifico4A. Clima e Oceanien
dc.description.journalTypeJCR Journalen
dc.description.fulltextrestricteden
dc.relation.issn0894-8755en
dc.relation.eissn1520-0442en
dc.contributor.authorSchindler, A.en
dc.contributor.authorToreti, A.en
dc.contributor.authorZampieri, M.en
dc.contributor.authorEnrico, S.en
dc.contributor.authorSilvio, G.en
dc.contributor.authorFukutome, S.en
dc.contributor.authorXoplaki, E.en
dc.contributor.authorLuterbacher, J.en
dc.contributor.departmentMeteoSwissen
dc.contributor.departmentJRCen
dc.contributor.departmentCMCCen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italiaen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italiaen
dc.contributor.departmentMeteoSwissen
dc.contributor.departmentJustus-Liebig University of Giessenen
dc.contributor.departmentJustus-Liebig University of Giessenen
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptDept. of Geography, Climatology, Climate Dynamics and Climate Change, Justus-Liebig University of Giessen,-
crisitem.author.deptJRC-
crisitem.author.deptCMCC-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia-
crisitem.author.deptMeteoSwiss-
crisitem.author.deptDept. of Geography, Climatology, Climate Dynamics and Climate Change, Justus-Liebig University of Giessen,-
crisitem.author.deptDept. of Geography, Climatology, Climate Dynamics and Climate Change, Justus-Liebig University of Giessen,-
crisitem.author.orcid0000-0001-7987-4744-
crisitem.author.orcid0000-0001-7777-8935-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent01. Atmosphere-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
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