(click on charts to enlarge)
Last week the BEST research team released their findings in regards to land surface temperatures. The BEST data matched up very closely with the IPCC's gold standard, the HadCRUT land temps sub-dataset. In summary, the Berkeley study had a few key points, including:
- BEST results show little, if any, warming over recent years
- BEST results found one-third of climate stations report a cooling, not a warming
- BEST determined that government maintained temperature-station quality is "awful"
- BEST found that the urban impact on global land temperatures is minimal
- BEST concluded that the human influence on land temperatures may be overestimated
- BEST concluded that land temperatures may be driven by the North Atlantic Oscillation (NAO) - a decadal phenomenon
Since the BEST land surface results were so similar to the Hadley and CRU efforts, it is highly probable that the future BEST research will closely mimic the HadCRUT3 global temperature dataset as shown above in the chart on the left.
The latest HadCRUT dataset report (released today, 10/28/2011) through September 2011 reveals a very insignificant warming over the last 15 years, with zero correlation to increasing CO2 levels. The global HadCRUT linear trend if projected out means a total global temperature increase of +0.3 degrees by year 2100.
The chart on the right tracks the HadCRUT and GISS global temperature anomalies versus the NASA climate model prediction of global temperatures due to CO2 emissions. It is obvious, that the climate models are stupendously wrong in their estimate of the temperature impact of human CO2 emissions - if the models were correct, the HadCRUT and GISS temperature anomalies would resemble Hansen's 'green' curve. (Note: Climate predictions from the IPCC, its models and its experts are consistently wrong.)
Based on this most recent temperature and CO2 information, one can safely assume that the BEST researchers are no dummies.....that would explain their hedging comments that the human influence is 'overestimated' and that natural decadal oscillations may be driving temperatures instead of human CO2 emissions.
