Long time memory in global warming simulations | Zendy

Blender Richard | Zendy; Fraedrich Klaus | Zendy

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Long time memory in global warming simulations

Author(s) -

Blender Richard,

Fraedrich Klaus

Publication year - 2003

Publication title -

geophysical research letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.007

H-Index - 273

eISSN - 1944-8007

pISSN - 0094-8276

DOI - 10.1029/2003gl017666

Subject(s) - hadcm3 , greenhouse gas , global warming , environmental science , climatology , climate model , atmosphere (unit) , scaling , atmospheric sciences , power law , scaling law , meteorology , climate change , physics , general circulation model , geology , oceanography , gcm transcription factors , geometry , mathematics , statistics

Global power law scaling of near surface temperature spectra is determined in two scenario simulations and in NCEP re‐analyses. The simulations use the coupled atmosphere‐ocean models HadCM3 and ECHAM4/OPYC with greenhouse gas increase according to scenario IS92a in 1860–2099. Observations show a low‐frequency power spectrum S ( f ) ∼ 1/ f over the oceans, a white spectrum in the inner continents, and S ( f ) ∼ f −0.3 in the coastal areas. The global distribution of the power law exponents is reproduced in the two simulations even in the 21st century with a pronounced temperature increase.

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