It turns out that for the signal - to -
noise ratios estimated for the individual tree - ring records, one would be hard pressed to cleanly isolate the volcanic cooling signal in individual records or even regional composites.
Not exact matches
We use observed
estimates of the signal component of TLT changes and model
estimates of climate
noise to calculate timescale - dependent signal - to -
noise ratios (S / N).
Our
estimated signal - to -
noise (S / N)
ratios for global - scale TLT changes were less than 1.0 on the 10 - year timescale.
«Our
estimated signal - to -
noise (S / N)
ratios for global - scale TLT changes were less than 1.0 on the 10 - year timescale (Figure 6C).
This may make the models almost irrelevant in
estimating the low frequency «
noise» important for the longer period S / N
ratio.
Using these
estimates, we calculate signal - to -
noise (S / N)
ratios to quantify the strength of the fingerprint in the observations relative to fingerprint strength in natural climate
noise.
The space - time structure of natural climate variability needed to determine the optimal fingerprint pattern and the resultant signal - to -
noise ratio of the detection variable is
estimated from several multi-century control simulations with different CGCMs and from instrumental data over the last 136 y. Applying the combined greenhouse gas - plus - aerosol fingerprint in the same way as the greenhouse gas only fingerprint in a previous work, the recent 30 - y trends (1966 — 1995) of annual mean near surface temperature are again found to represent a significant climate change at the 97.5 % confidence level.