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Keywords
(10)
Atmospheric Circulation
Climate Variability
Evaluation Model
interannual variability
Large Scale
Regional Scale
Seasonality
Southern Hemisphere
Statistical Method
Time Scale
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Interannual modes of variability of Southern Hemisphere atmospheric circulation in CMIP3 models
Interannual modes of variability of Southern Hemisphere atmospheric circulation in CMIP3 models,10.1088/1755-1315/11/1/012027,Iop Conference Series: E
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Interannual modes of variability of Southern Hemisphere atmospheric circulation in CMIP3 models
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Citations: 1
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S. Grainger
,
C. S. Frederiksen
,
X. Zheng
The
atmospheric circulation
acts as a bridge between large-scale sources of climate variability, and
climate variability
on regional scales. Here a
statistical method
is applied to monthly mean
Southern Hemisphere
500hPa geopotential height to separate the
interannual variability
of the seasonal mean into intraseasonal and slowly varying (time scales of a season or longer) components. Intraseasonal and slow modes of variability are estimated from realisations of models from the Coupled Model Intercomparison Project Phase 3 (CMIP3) twentieth century coupled climate simulation (20c3m) and are evaluated against those estimated from reanalysis data. The intraseasonal modes of variability are generally well reproduced across all CMIP3 20c3m models for both
Southern Hemisphere
summer and winter. The slow modes are in general less well reproduced than the intraseasonal modes, and there are larger differences between realisations than for the intraseasonal modes. New diagnostics are proposed to evaluate model variability. It is found that differences between realisations from each model are generally less than inter-model differences. Differences between model-mean diagnostics are found. The results obtained are applicable to assessing the reliability of changes in
atmospheric circulation
variability in CMIP3 models and for their suitability for further studies of regional climate variability.
Journal:
Iop Conference Series: Earth and Environmental Science
, vol. 11, no. 1, 2010
DOI:
10.1088/1755-1315/11/1/012027
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Citation Context
(1)
...Examples are: metrics of ENSO simulation skill (for example the variability of the nino34 index and the ENSO teleconnection to rainfall), metrics assessing the mean state of the climate system (bias and/or RMS error) and metrics assessing the variability of the climate system [
Grainger et al., 2010, 2011
]...
Aurel F. Moise
,
et al.
New climate model metrics based on object-orientated pattern matching ...
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Citations
(1)
New climate model metrics based on object-orientated pattern matching of rainfall
Aurel F. Moise
,
Francois P. Delage
Journal:
Journal of Geophysical Research
, vol. 116, no. D12, 2011