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Read Full Article (file size: 634806 bytes) Cited by
GEOPHYSICAL RESEARCH LETTERS,
VOL. 30, NO. 14,
1769,
doi:10.1029/2003GL017666,
2003
Long time memory in global warming simulations
Richard Blender
Meteorologisches Institut, Universität Hamburg, Hamburg, Germany
Klaus Fraedrich
Meteorologisches Institut, Universität Hamburg, Hamburg, Germany
Abstract
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.
Received 2
May
2003;
accepted 20
June
2003;
published 29
July
2003.
Index Terms: 1620 Global Change: Climate dynamics (3309); 3319 Meteorology and Atmospheric Dynamics: General circulation; 3339 Meteorology and Atmospheric Dynamics: Ocean/atmosphere interactions (0312, 4504).
Read Full Article (file size: 634806 bytes) Cited by
Citation: Blender, R., and K. Fraedrich
(2003),
Long time memory in global warming simulations,
Geophys. Res. Lett.,
30(14),
1769,
doi:10.1029/2003GL017666.
Copyright 2003 by the American Geophysical Union.
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