Quantile spline models for global temperature change

Roger W Koenker, Frank Schorfheide

Research output: Contribution to journalArticlepeer-review

Abstract

The Hansen and Lebedeff data set on global surface air temperature change is reanalyzed using smoothing splines designed to estimate the conditional quantile functions of global temperature over the last century. It is assumed only that the quantiles are smooth functions of time. The smoothness of the fitted quantile functions is determined by a data driven version of the Schwarz criterion. The estimates offer statistical evidence of a break in the generally upward sloping trend of the temperature series during the period from 1940 to 1965, a finding originally suggested by Hansen and Lebedeff (1987).

Original languageEnglish (US)
Pages (from-to)395-404
Number of pages10
JournalClimatic Change
Volume28
Issue number4
DOIs
StatePublished - Dec 1 1994

ASJC Scopus subject areas

  • Global and Planetary Change
  • Environmental Chemistry
  • Environmental Science(all)
  • Atmospheric Science
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'Quantile spline models for global temperature change'. Together they form a unique fingerprint.

Cite this