NASA's «GISS» temp uses land and ocean - based thermometers which measure «different parts of the system [UHI affected parking lots, asphalt heat sinks, AC exhaust air vents],
different signal to noise ratio [we bias toward warm stations], different structural uncertainty [we «homogenise» our data set to cool the past and warm the present to fit the global warming narrative].»
Not exact matches
Digital acoustical cry analyses captures qualities like frequency, energy, and
signal -
to -
noise ratio and show that a pain cry has a
different pattern from other cries (it's high - pitched, loud, and sudden, with some breath - holding).
It was found that
different molecules gave unique
noise signals related
to the properties of the molecules.
It seems that the
different disturbances lead mainly
to a small amplitude
noise that blurs the underlying periodic
signal.»
Nowadays we would use an ensemble of runs with slightly perturbed initial conditions (usually a
different ocean state) in order
to average over «weather
noise» and extract the «forced»
signal.
I do think that the blogosphere will not so much reduce fighting over ideas or increase the
signal to noise ratio as much as it will facilitate addressing the concerns that lead
to the in - fighting, and enable the
different signals to be heard, and then discussed.
Were the hypothesis that warming will increase at least 1C / decade averaged over a millennium at 95 % confidence, nineteen times in twenty, given the
noise in the
signal, all other things being equal, we'd first need 17 years at least
to get some kinda sketchy data, and then could begin calculating from the set of subsequent running or independent 17 year spans (a
different calculation for each, depending on the PDF) the probability that a -20 C decade would be consistent with a +1 C / decade hypothesis.
Although the first two sources of model uncertainty -
different climate sensitivities and regional climate change patterns - are usually represented in climate scenarios, it is less common for the third and fourth sources of uncertainty - the variable
signal -
to -
noise ratio and incomplete description of key processes and feedbacks -
to be effectively treated.
[Response: This is just two bits of speculation on my part, but it is conceivable that a) the influence of ENSO is of a
different character than the influence from SST (i.e. there is more happening than a similar increase in hurricane intensity / number), and ii) the
different frequency distribution of ENSO events compared
to variations in SST (or PDI) mean that the
signal is stronger compared
to the
noise in that frequency band.
Of course it should be said that climate prediction science is quite
different from weather prediction although a poor
signal to noise ratio is evident in both.
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.
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