A fluctuation in surface temperature in historical context: reassessment and 
retrospective on the evidence

Risbey, J. A.; Lewandowsky, S.; Cowtan, K.; Oreskes, N.; Rahmstorf, Stefan; Jokimäki, A.; Foster, G.

doi:10.1088/1748-9326/aaf342

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A fluctuation in surface temperature in historical context: reassessment and retrospective on the evidence

Urheber*innen

Risbey, J. A.
External Organizations;

Lewandowsky, S.
External Organizations;

Cowtan, K.
External Organizations;

Oreskes, N.
External Organizations;

/persons/resource/Stefan.Rahmstorf

Rahmstorf, Stefan
Potsdam Institute for Climate Impact Research;

Jokimäki, A.
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Foster, G.
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Zitation

Risbey, J. A., Lewandowsky, S., Cowtan, K., Oreskes, N., Rahmstorf, S., Jokimäki, A., Foster, G. (2018): A fluctuation in surface temperature in historical context: reassessment and retrospective on the evidence. - Environmental Research Letters, 13, 12, 123008.
https://doi.org/10.1088/1748-9326/aaf342

Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_22865

Zusammenfassung

This work reviews the literature on an alleged global warming 'pause' in global mean surface temperature (GMST) to determine how it has been defined, what time intervals are used to characterise it, what data are used to measure it, and what methods used to assess it. We test for 'pauses', both in the normally understood meaning of the term to mean no warming trend, as well as for a 'pause' defined as a substantially slower trend in GMST. The tests are carried out with the historical versions of GMST that existed for each pause-interval tested, and with current versions of each of the GMST datasets. The tests are conducted following the common (but questionable) practice of breaking the linear fit at the start of the trend interval ('broken' trends), and also with trends that are continuous with the data bordering the trend interval. We also compare results when appropriate allowance is made for the selection bias problem. The results show that there is little or no statistical evidence for a lack of trend or slower trend in GMST using either the historical data or the current data. The perception that there was a 'pause' in GMST was bolstered by earlier biases in the data in combination with incomplete statistical testing.