He was one of the first scientists to address what we now call the «
signal detection problem» — the problem of determining where we might expect to see the first clear evidence of a human effect on global climate.
Not exact matches
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That
detection was riddled with
problems, drawn out from spurious data, and ignored a low
signal - to - noise ratio in search of a sensational new planet, the kind science fiction has long dreamed of.
This timing
problem is not normally an issue for exoplanet hunters, but the efforts to strip out stellar activity boosted other periodic
signals in the data, leading to a false
detection, says Rajpaul — something the original team couldn't have anticipated.
Spatial Autocorrelation and the
Detection of Non-Climatic
Signals in Climate Data was rejected; at least part of the
problem was that the paper appeared to add little new to the discussion, as would be expected from a standalone paper.
The presence of this natural climate variability means that the
detection and attribution of anthropogenic climate change is a statistical «
signal - in - noise»
problem.