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dc.contributor.authorWeber SL
dc.contributor.authorShabalova MV
dc.date.accessioned2012-12-12T17:10:25Z
dc.date.available2012-12-12T17:10:25Z
dc.date.issued2001-02-23
dc.identifier410200056
dc.identifier.urihttp://hdl.handle.net/10029/258533
dc.description.abstractAbstract niet beschikbaar
dc.description.abstractPatterns of temperature variability on interdecadal and longer timescales are derived from empirical and simulated data for the region centered around the North Atlantic ocean. The empirical dataset consists of long early-instrumental records and high-quality proxy data. The simulated data is obtained from a long integration of the coupled intermediate-complexity model ECBilt. A combination of classical statistical tools and modern spectral methods is used in the analysis. Both in the empirical and simulated data, temperature variability is found to be season dependent. In the empirial data, two distinct statistically significant spatio-temporal modes of temperature variability are identified on timescales longer than 50 years. The simulated data do not exhibit any dominant timescale of variability in the considered range, which might be due to the absence of external periodic forcing in the model experiment. In summer, there is a promising similarity between empirical and simulated patterns of temperature variability.
dc.description.sponsorshipSG-NOP
dc.format.extent35 p
dc.language.isoen
dc.publisherKoninklijk Nederlands Meteorlogisch Instituut (KNMI)
dc.relation.ispartofGlobal Change NOP-NRP report 410200056
dc.relation.urlhttp://www.rivm.nl/bibliotheek/rapporten/410200056.html
dc.subject04nl
dc.subjectmeetgegevensnl
dc.subjecttemperatuurnl
dc.subjectlange termijnnl
dc.subjectklimatologienl
dc.subjectmeasurementsen
dc.subjecttemperatureen
dc.subjectlong termen
dc.subjectclimatologyen
dc.subjectpaleodataen
dc.titlePatterns of low-frequency climate variability: a model-paleodata comparisonen
dc.title.alternativePatronen van variabiliteit in de oppervlakte temperatuur: een model-paleodata vergelijkingnl
dc.typeReport
dc.contributor.departmentNOP
dc.date.updated2012-12-12T17:10:26Z
html.description.abstractAbstract niet beschikbaar
html.description.abstractPatterns of temperature variability on interdecadal and longer timescales are derived from empirical and simulated data for the region centered around the North Atlantic ocean. The empirical dataset consists of long early-instrumental records and high-quality proxy data. The simulated data is obtained from a long integration of the coupled intermediate-complexity model ECBilt. A combination of classical statistical tools and modern spectral methods is used in the analysis. Both in the empirical and simulated data, temperature variability is found to be season dependent. In the empirial data, two distinct statistically significant spatio-temporal modes of temperature variability are identified on timescales longer than 50 years. The simulated data do not exhibit any dominant timescale of variability in the considered range, which might be due to the absence of external periodic forcing in the model experiment. In summer, there is a promising similarity between empirical and simulated patterns of temperature variability.


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