Literature DB >> 16710417

Links between annual, Milankovitch and continuum temperature variability.

Peter Huybers1, William Curry.   

Abstract

Climate variability exists at all timescales-and climatic processes are intimately coupled, so that understanding variability at any one timescale requires some understanding of the whole. Records of the Earth's surface temperature illustrate this interdependence, having a continuum of variability following a power-law scaling. But although specific modes of interannual variability are relatively well understood, the general controls on continuum variability are uncertain and usually described as purely stochastic processes. Here we show that power-law relationships of surface temperature variability scale with annual and Milankovitch-period (23,000- and 41,000-year) cycles. The annual cycle corresponds to scaling at monthly to decadal periods, while millennial and longer periods are tied to the Milankovitch cycles. Thus the annual, Milankovitch and continuum temperature variability together represent the response to deterministic insolation forcing. The identification of a deterministic control on the continuum provides insight into the mechanisms governing interannual and longer-period climate variability.

Year:  2006        PMID: 16710417     DOI: 10.1038/nature04745

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  16 in total

1.  Ocean surface temperature variability: large model-data differences at decadal and longer periods.

Authors:  Thomas Laepple; Peter Huybers
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-10       Impact factor: 11.205

2.  Climate models can correctly simulate the continuum of global-average temperature variability.

Authors:  Feng Zhu; Julien Emile-Geay; Nicholas P McKay; Gregory J Hakim; Deborah Khider; Toby R Ault; Eric J Steig; Sylvia Dee; James W Kirchner
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-15       Impact factor: 11.205

3.  Detecting past changes in vegetation resilience in the context of a changing climate.

Authors:  W John Calder; Bryan Shuman
Journal:  Biol Lett       Date:  2019-03-29       Impact factor: 3.703

4.  Northern Hemisphere hydroclimate variability over the past twelve centuries.

Authors:  Fredrik Charpentier Ljungqvist; Paul J Krusic; Hanna S Sundqvist; Eduardo Zorita; Gudrun Brattström; David Frank
Journal:  Nature       Date:  2016-04-07       Impact factor: 49.962

5.  Pacing of Paleozoic macroevolutionary rates by Milankovitch grand cycles.

Authors:  James S Crampton; Stephen R Meyers; Roger A Cooper; Peter M Sadler; Michael Foote; David Harte
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-14       Impact factor: 11.205

6.  Historical glacier change on Svalbard predicts doubling of mass loss by 2100.

Authors:  Emily C Geyman; Ward J J van Pelt; Adam C Maloof; Harald Faste Aas; Jack Kohler
Journal:  Nature       Date:  2022-01-19       Impact factor: 69.504

7.  Timing of the departure of ocean biogeochemical cycles from the preindustrial state.

Authors:  James R Christian
Journal:  PLoS One       Date:  2014-11-11       Impact factor: 3.240

8.  Contrasting scaling properties of interglacial and glacial climates.

Authors:  Zhi-Gang Shao; Peter D Ditlevsen
Journal:  Nat Commun       Date:  2016-03-16       Impact factor: 14.919

9.  Emergence of global scaling behaviour in the coupled Earth-atmosphere interaction.

Authors:  Bijan Fallah; Abbas Ali Saberi; Sahar Sodoudi
Journal:  Sci Rep       Date:  2016-09-26       Impact factor: 4.379

10.  Extracting climate memory using Fractional Integrated Statistical Model: a new perspective on climate prediction.

Authors:  Naiming Yuan; Zuntao Fu; Shida Liu
Journal:  Sci Rep       Date:  2014-10-10       Impact factor: 4.379

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