I am really hoping that the AR5 will do a better job of providing a useful analysis and assessment
of the paleodata for the last millennium.
A joint analysis
of paleodata on variations in cosmic ray fluxes, solar activity, geomagnetic field, and climate during the period from ∼ 10000 to ∼ 100000 years ago has been performed.
She also investigates ways to combine analyses
of paleodata with climate models to refine interpretations of both.
@David Lea # 42 - 43: thanks for the comment, from where I'm sitting, it seems to be more of a disconnect between two sides
of the paleodata community: — RRB - I'm not trying to take sides, just using the most recent and comprehensive proxy compilations.
Not exact matches
[Response: You have a very limited concept
of how
paleodata is used.
[Response: In reality, James and I were having a rather mundane discussion
of spatial error structure in data assimilation approaches;) He gave a great talk in our session on
paleodata assimilation.
We can not rule out the possibility that some
of the low - frequency Pacific variability was a forced response to variable solar intensity and changing teleconnections to higher latitudes that are not simulated by the models, or that non-climatic processes have influenced the proxies... the
paleodata - model mismatch supports the possibility that unforced, low - frequency internal climate variability (that is difficult for models to simulate) was responsible for at least some
of the global temperature change
of the past millennium.»
Pekka wrote: «The conclusions that can be drawn from the comparison
of recent instrumental data with the
paleodata are a separate issue.
The conclusions that can be drawn from the comparison
of recent instrumental data with the
paleodata are a separate issue.
Finally, the fact that both the oceans and the atmosphere are at their all time highest temperatures over the past 10 year average from instrument record and through extrapolation to near - term
paleodata, we can see a remarkable consistent effect
of what increasing greenhouse gases do to overall alterations in Earth's non-tectonic energy storage.
Ocean heat content
paleodata, which is far more critical and relevant to climate than CET, would tell us that indeed, the mega-volcanoes
of 1257 and 1453 played major roles in the LIA.
Someone is still up to the old, discredited trick
of splicing recent instrumental data giving high temporal resolution with together with
paleodata of low temporal resolution.
Condition 3 was evaluated on the basis
of model projections, known shortcomings
of the models, and
paleodata.
Therefore, locating potential future tipping points requires some use
of predictive models, in combination with
paleodata and / or historical data.
In this link https://bravenewclimate.com/2016/09/10/open-thread-26/#comment-470348 I briefly outline the results
of an important paper which uses Liang causality, a statistical notion superior to the older Granger causality, to analyze the climate data, both ice core and recent, to obtain the expected result that CO2 Liang causes global warming in recent times but the opposite conclusion for the
paleodata.
Hansen states in pretty much any talk he gives that our understanding
of climate change is based on three pillars: Current obervations,
paleodata, and physics based modeling.