The U.S. annual (January-December) mean temperature is slightly warmer in 1934 than in 1998 in the GISS analysis (Plate 6). This contrasts with the USHCN data, which has 1998 as the warmest year in the century. In both cases the difference between 1934 and 1998 mean temperatures is a few hundredths of a degree. The main reason that 1998 is relatively cooler in the GISS analysis is its larger adjustment for urban warming. In comparing temperatures of years separated by 60 or 70 years the uncertainties in various adjustments (urban warming, station history adjustments, etc.) lead to an uncertainty of at least 0.1°C. Thus it is not possible to declare a record U.S. temperature with confidence until a result is obtained that exceeds the temperature of 1934 by more than 0.1°C.
http://pubs.giss.nasa.gov/docs/2001/2001_Hansen_etal.pdf
McIntyres discovery was a small error at introduced at the transition between two data sets, correcting for the error does not materially change the observed trends:
Its also important to understand that temperature does not rise or fall everywhere and equally. In the case of the US, as noted in the paper above:
it is clear that the post-1930s cooling was much larger in the United States than in the global mean. The U.S. mean temperature has now reached a level comparable to that of the 1930s, while the global temperature is now far above the levels earlier in the century. The successive periods of global warming (1900-1940), cooling (1940-1965), and warming (1965-2000) in the 20th century show distinctive patterns of temperature change suggestive of roles for both climate forcings and dynamical variability.
Here is the global picture:
Some people really, really want to believe that some major statistical error is going to be discovered tomorrow which demonstrates that such trends are a mirage. Its not going to happen these trends have been established on the basis of several different sorts of terrestrial and satellite data, and as the data has been refined data sets are rapidly converging. In this regard it's quite telling that observers such as the author of this article are reduced to claims that the increasingly minor nature of the errors discovered and the corrections made suggest that skepticism is increasingly justified.
Neat Charts!
Climate change has a VERY long time constant. These charts are transient in nature and do not reflect long term trends.
There are many factors that affect the climate. We understand little about them.
It is fascinating to watch people focus on the noise instaed of the real underlying trends.
“Some people really, really want to believe that some major statistical error is going to be discovered tomorrow which demonstrates that such trends are a mirage.”
And some people really, really want to believe that error after error and flaw after flaw in modeling, in assumptions, in climate sensitivity estimates, in CO2 sink assumptions, etc. means nothing to the credibility of catastrophic AGW alarmism.
We recently found out that climate models vastly underestimate precipation increases wrt temp increases, and thereby are getting feedbacks like clouds completely wrong.
New paper studies the temperature impact and deduces that the temp sensitivity estimate by IPCC is too high by factor of 3. They are modelling the heat capacity of oceans in an incorrect way in order to get those scary scenarios.
The temp increase for 290ppm -> 380ppm is, according to the 5.35. ln (C/C0) equation for CO2 forcing, as impactful as another 30% increase, to 550ppm, which wont happen until 2070. So far it was 0.6C, there is another 0.6C in store in case of ‘doing nothing about CO2’ for 50 years.
Meanwhile, methane in atmosphere has *levelled off*, rainforest destruction is *slowing down*, and the ‘doubling of CO2’ looks less and less likely.