Maybe the natural sources and sinks really do dominate the 400 ppm global CO2 balance and mankind's 2 ppm «imbalance» is lost even deeper in
the data noise of natural variability.
Not exact matches
While this methodology doesn't eliminate your point that the trends from different periods in the observed record (or from different observed datasets) fall at various locations within our model - derived 95 % confidence range (clearly they do), it does provide justification for using the most recent
data to show that sometimes (including currently), the observed trends (which obviously contain
natural variability, or, weather
noise) push the envelop
of model trends (which also contain weather
noise).
Here's his response: «A convincing greenhouse gas - driven change has not emerged in the
data so far, in my view, and may well be «in the
noise» due to both large
natural variability (compared to the expected size
of the greenhouse gas - driven signal) and
data quality issues.»
@James Schrumpf 4:00 am I don't see how the
natural variability of the temperature
data can be called «
noise.»
I think referring to the
natural variability of data that has already been strenuously massaged to get to that one temperature point for the entire Earth as «
noise» is a false concept.
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.