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dc.contributor.authorDagsvik, John K.
dc.contributor.authorMoen, Sigmund H.
dc.date.accessioned2023-10-05T09:57:42Z
dc.date.available2023-10-05T09:57:42Z
dc.date.issued2023-09-25
dc.identifier.issn1892-753X
dc.identifier.urihttps://hdl.handle.net/11250/3094425
dc.description.abstractWeather and temperatures vary in ways that are difficult to explain and predict precisely. In this article we review data on temperature variations in the past as well possible reasons for these variations. Subsequently, we review key properties of global climate models and statistical analyses conducted by others on the ability of the global climate models to track historical temperatures. These tests show that standard climate models are rejected by time series data on global temperatures. Finally, we update and extend previous statistical analysis of temperature data (Dagsvik et al., 2020). Using theoretical arguments and statistical tests we find, as in Dagsvik et al. (2020), that the effect of man-made CO2 emissions does not appear to be strong enough to cause systematic changes in the temperature fluctuations during the last 200 years.en_US
dc.language.isoengen_US
dc.publisherStatistisk sentralbyråen_US
dc.relation.ispartofseriesDiscussion Paper;No. 1007
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectGlobal climate modelsen_US
dc.subjectClimate changeen_US
dc.subjectTemperature analysisen_US
dc.subjectFractional Gaussian noiseen_US
dc.subjectLong-range dependenceen_US
dc.titleTo what extent are temperature levels changing due to greenhouse gas emissions?en_US
dc.typeWorking paperen_US
dc.rights.holder© Statistisk sentralbyråen_US
dc.source.pagenumber122en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal