There are certain types who love to cite Judith Curry as though she were the ultimate authority of climate science.
Yet if you compare her CV with Michaels Manns, (who is endlessly demonized by the same libertarian delusionals) the difference is absolutely astounding.
But, have hard facts ever made any difference to the “libertarian” mindset or the types who have elevated Curry to celebrity, heck sometimes near god like, status.
Judith Curry - School of Earth and Atmospheric Sciences, Georgia Tech.https://scholar.google.com/citations?user=rC8rY4EAAAAJ&hl=en
Michael Mann - Pennsylvania State University, Department of Meteorology & Atmospheric Science University Park, PA
http://www.michaelmann.net/about/cv
And then there’s her unreal claims, made for effect, rather than any constructive education.
Judy Curry’s attribution non-argument Filed under:Climate modelling Climate Science Greenhouse gases — Gavin Schmidt @ 18 April 2017http://www.realclimate.org/index.php/archives/2017/04/judy-currys-attribution-non-argument/
- Models are NOT tuned [for the late 20th C/21st C warming] and using them for attribution is NOT circular reasoning.
Curry’s claim is wrong on at least two levels. The “models used” (otherwise known as the CMIP5 ensemble) were not tuned for consistency for the period of interest (the 1950-2010 trend is what was highlighted in the IPCC reports, about 0.8ºC warming) and the evidence is obvious from the fact that the trends in the individual model simulations over this period go from 0.35 to 1.29ºC! (or 0.84±0.45ºC (95% envelope)). …
- Attribution studies DO account for low-frequency internal variability
Patterns of variability that don’t match the predicted fingerprints from the examined drivers (the ‘residuals’) can be large – especially on short-time scales, and look in most cases like the modes of internal variability that we’ve been used to; ENSO/PDO, the North Atlantic multidecadal oscillation etc. But the crucial thing is that these residuals have small trends compared to the trends from the external drivers. We can also put these modes directly into the analysis with little overall difference to the results.
- No credible study has suggested that ocean oscillations can account for the long-term trends
The key observation here is the increase in ocean heat content over the last half century (the figure below shows three estimates of the changes since 1955). This absolutely means that more energy has been coming into the system than leaving. …
- Indirect effects of solar forcing cannot explain recent trends
Solar activity impacts on climate are a fascinating topic, and encompass direct radiative processes, indirect effects via atmospheric chemistry and (potentially) aerosol formation effects. Much work is being done on improving the realism of such effects – particularly through ozone chemistry (which enhances the signal), and aerosol pathways (which don’t appear to have much of a global effect i.e. Dunne et al. (2016)). However, attribution of post 1950 warming to solar activity is tricky (i.e. impossible), because solar activity has declined (slightly) over that time: …
- Aerosol forcings are indeed uncertain, but this does not impact the attribution of recent trends very much.
One of the trickier issues for fingerprint studies is distinguishing between the patterns from anthropogenic aerosols and greenhouse gases. While the hemispheric asymmetries are slightly larger for aerosols, the overall surface pattern is quite similar to that for greenhouse gases (albeit with a different sign). This is one of the reasons why the most confident statements in IPCC are made with respect to the “Anthropogenic” changes all together since that doesn’t require parsing out the (opposing) factors of GHGs and aerosols. Therefore in a fingerprint study that doesn’t distinguish between aerosols and GHGs, what the exact value of the aerosol forcing right is basically irrelevant. If any specific model is getting it badly wrong, that will simply manifest through a scaling factor very different from 1 without changing the total attribution.
What would it actually take to make a real argument?
As I’ve been asking for almost three years, it is way past time for Curry to shore up her claims in a quantitative way. I doubt that this is actually possible, but if one was to make the attempt these are the kind of things needed:
Evidence that models underestimate internal variability at ~50-80 yr timescales by a factor of ~5.
Evidence that indirect solar forcing can increase the long-term impact of solar by a factor of 3 on centennial time-scales or reverse the sign of the forcing on 50-80 yr timescales (one or the other, both would be tricky!).
Evidence that warm surface ocean oscillations are associated with increased downward net radiation at the TOA. [This is particularly hard because it would mean the climate was fundamentally unstable].
Evidence that the known fingerprints of different forcings are fundamentally wrong. Say, that CO2 does not cool the stratosphere, or that solar forcing doesn’t warm it.
Absent any evidence to support these statements, the claim that somehow, somewhere the straightforward and predictive mainstream conclusions are fundamentally wrong just isn’t credible.