A better understanding of natural climate variability is crucial
for global climate change studies and the evaluation of the sensitivity
of the climate system to imposed perturbations. External forcing
factors might contribute substantially to both high and low frequency
variations in climate but a clear separation of their impact from
internally generated fluctuations is difficult. We employ wavelet
decomposition to identify common characteristics in forcing and climatic
time series of the last four centuries. Here, we focus on solar irradiance
variations by applying this statistical method to a selection of
widely used proxy-based reconstructions. Major variability components
are isolated through time-scale decomposition. Two classical solar
modes (85 and 11 years) are not only identified within the limited
time period covered by the solar datasets, but their relative influences
on climate as represented by hemispheric surface temperature reconstructions
are also estimated. While the low-frequency component shows close
ties between solar variations and surface climate, a relationship
between the 11-year sunspot cycle and temperature reconstructions
is more difficult to attribute. However, the statistical multi-resolution
analysis appears to be an ideal tool to uncover relationships and
their changes at different temporal scales normally hidden by the
strong background noise in the climate system. (C) 2002 Elsevier
Science Ltd. All rights reserved.
Natl Ctr Atmospher Res, Climate & Global Dynam Div, Boulder, CO
80305 USA.EOLEOLUniv Alberta, Dept Math & Stat Sci, Edmonton, AB
T6G 2G1, Canada.EOLEOLUniv Colorado, Dept Appl Math, ECOT 231, Boulder,
CO 80309 USA.
tc
18
pa
THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
%0 Journal Article
%1 Oh.Ammann.ea2003
%A Oh, H. S.
%A Ammann, C. M.
%A Naveau, P.
%A Nychka, D.
%A Otto-Bliesner, B. L.
%D 2003
%I Pergamon-elsevier Science Ltd
%J Journal of Atmospheric and Solar-terrestrial Physics
%K CYCLE LAST LENGTH; LOWER MAUNDER MILLENNIUM; MINIMUM; NORTHERN-HEMISPHERE; NUMBERS; STRATOSPHERE; SUN SUNSPOT SURFACE-TEMPERATURE; UNCERTAINTIES; VARIABILITY;
%N 2
%P 191--201
%T Multi-resolution time series analysis applied to solar irradiance
and climate reconstructions
%V 65
%X A better understanding of natural climate variability is crucial
for global climate change studies and the evaluation of the sensitivity
of the climate system to imposed perturbations. External forcing
factors might contribute substantially to both high and low frequency
variations in climate but a clear separation of their impact from
internally generated fluctuations is difficult. We employ wavelet
decomposition to identify common characteristics in forcing and climatic
time series of the last four centuries. Here, we focus on solar irradiance
variations by applying this statistical method to a selection of
widely used proxy-based reconstructions. Major variability components
are isolated through time-scale decomposition. Two classical solar
modes (85 and 11 years) are not only identified within the limited
time period covered by the solar datasets, but their relative influences
on climate as represented by hemispheric surface temperature reconstructions
are also estimated. While the low-frequency component shows close
ties between solar variations and surface climate, a relationship
between the 11-year sunspot cycle and temperature reconstructions
is more difficult to attribute. However, the statistical multi-resolution
analysis appears to be an ideal tool to uncover relationships and
their changes at different temporal scales normally hidden by the
strong background noise in the climate system. (C) 2002 Elsevier
Science Ltd. All rights reserved.
@article{Oh.Ammann.ea2003,
abstract = {A better understanding of natural climate variability is crucial
for global climate change studies and the evaluation of the sensitivity
of the climate system to imposed perturbations. External forcing
factors might contribute substantially to both high and low frequency
variations in climate but a clear separation of their impact from
internally generated fluctuations is difficult. We employ wavelet
decomposition to identify common characteristics in forcing and climatic
time series of the last four centuries. Here, we focus on solar irradiance
variations by applying this statistical method to a selection of
widely used proxy-based reconstructions. Major variability components
are isolated through time-scale decomposition. Two classical solar
modes (85 and 11 years) are not only identified within the limited
time period covered by the solar datasets, but their relative influences
on climate as represented by hemispheric surface temperature reconstructions
are also estimated. While the low-frequency component shows close
ties between solar variations and surface climate, a relationship
between the 11-year sunspot cycle and temperature reconstructions
is more difficult to attribute. However, the statistical multi-resolution
analysis appears to be an ideal tool to uncover relationships and
their changes at different temporal scales normally hidden by the
strong background noise in the climate system. (C) 2002 Elsevier
Science Ltd. All rights reserved.},
added-at = {2011-09-01T13:26:03.000+0200},
author = {Oh, H. S. and Ammann, C. M. and Naveau, P. and Nychka, D. and Otto-Bliesner, B. L.},
biburl = {https://www.bibsonomy.org/bibtex/2b258fcfefd537ccced60ebe09f114b07/procomun},
c1 = {Natl Ctr Atmospher Res, Climate \& Global Dynam Div, Boulder, CO
80305 USA.EOLEOLUniv Alberta, Dept Math \& Stat Sci, Edmonton, AB
T6G 2G1, Canada.EOLEOLUniv Colorado, Dept Appl Math, ECOT 231, Boulder,
CO 80309 USA.},
de = {wavelets; time-scale decomposition; sunspot number; solar cycle length;EOLEOLnatural
climate variability; external forcing},
file = {Oh.Ammann.ea2003.pdf:Oh.Ammann.ea2003.pdf:PDF},
ga = {641AP},
interhash = {23bb53438792ceb826d9cad17dfaf211},
intrahash = {b258fcfefd537ccced60ebe09f114b07},
j9 = {J ATMOS SOL-TERR PHYS},
ji = {J. Atmos. Sol.-Terr. Phys.},
journal = {Journal of Atmospheric and Solar-terrestrial Physics},
keywords = {CYCLE LAST LENGTH; LOWER MAUNDER MILLENNIUM; MINIMUM; NORTHERN-HEMISPHERE; NUMBERS; STRATOSPHERE; SUN SUNSPOT SURFACE-TEMPERATURE; UNCERTAINTIES; VARIABILITY;},
la = {English},
month = jan,
nr = {49},
number = 2,
owner = {oscar},
pa = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
pages = {191--201},
pg = {11},
pi = {OXFORD},
publisher = {Pergamon-elsevier Science Ltd},
rp = {Ammann, CM, Natl Ctr Atmospher Res, Climate \& Global Dynam Div,
POBEOLEOL3000, Boulder, CO 80307 USA.},
sc = {Geochemistry \& Geophysics; Meteorology \& Atmospheric Sciences},
sn = {1364-6826},
tc = {18},
timestamp = {2011-09-02T08:25:25.000+0200},
title = {Multi-resolution time series analysis applied to solar irradiance
and climate reconstructions},
ut = {ISI:000180721800004},
volume = 65,
year = 2003
}