Cristin-resultat-ID: 1807169
Sist endret: 27. januar 2021, 17:07
NVI-rapporteringsår: 2020
Resultat
Vitenskapelig artikkel
2020

How does temperature vary over time?: evidence on the stationary and fractal nature of temperature fluctuations

Bidragsytere:
  • John K. Dagsvik
  • Mariachiara Fortuna og
  • Sigmund Hov Moen

Tidsskrift

Journal of the Royal Statistical Society: Series A (Statistics in Society)
ISSN 0964-1998
e-ISSN 1467-985X
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2020
Publisert online: 2020
Open Access

Importkilder

Scopus-ID: 2-s2.0-85082078217

Beskrivelse Beskrivelse

Tittel

How does temperature vary over time?: evidence on the stationary and fractal nature of temperature fluctuations

Sammendrag

The paper analyses temperature data from 96 selected weather stations world wide, and from reconstructed northern hemisphere temperature data over the last two millennia. Using a non‐parametric test, we find that the stationarity hypothesis is not rejected by the data. Subsequently, we investigate further properties of the data by means of a statistical model known as the fractional Gaussian noise (FGN) model. Under stationarity FGN follows from the fact that the observed data are obtained as temporal aggregates of data generated at a finer (basic) timescale where temporal aggregation is taken over a ‘large’ number of basic units. The FGN process exhibits long‐range dependence. Several tests show that both the reconstructed and most of the observed data are consistent with the FGN model.

Bidragsytere

Aktiv cristin-person

John K. Dagsvik

  • Tilknyttet:
    Forfatter
    ved Forskningsavdelingen, Arbeidsmarked og skatt ved Statistisk sentralbyrå

Mariachiara Fortuna

  • Tilknyttet:
    Forfatter
    ved Italia

Sigmund Hov Moen

  • Tilknyttet:
    Forfatter
    ved Diverse norske bedrifter og organisasjoner
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