Warming has stopped - Global Temperature firmly stuck.

Pierre Gosselin on his site NoTricksZone has a new post:

July Data Rolls In…Consensus Of Datasets Agree: Warming Has Stopped… Global Temperature Firmly Stuck! 

Pierre links to a German site:wobleibtdieglobaleerderwärmung (where’s the global warming – WBDGE) who report in their Global Summary July 2015
The negative trend of global satellite temperature (TLT) of UAH since 1998 is also reflected in July 2015, a T-deviation of 0.18 K continued. The moderate solar activity declines further, the end of May there were even two almost spotless days on the near
side of the sun.
Global temperatures 
UAH / TLT: 0.18 K (previous month 0.33, previous year 0.24) deviation from the climate mean 1981-2010, ranking 9 of 37 UAH V6.0 Global Temperature Update for July 2015: +0.18 C 
RSS / TLT: 0.29 K (previous month 0.39, previous year 0.35) deviation from the climate mean 1979-1998, rank 8 out of 37th
WBDGE include the following graphic with their report:

Trend of the global satellite measurements (TLT) of RSS


  1. The Weather Bureau computer simulations temperature predictions for Bundaberg, I have recorded for the previous 10 weeks.The WB makes predictions for 7 days ahead for minimum and maximum temperatures. I have recorded the predictions for 7th day ahead, then recorded the actual temperature, the information being provided by 7 only for weekdays.
    The predicted temperature was correct on only18 predictions of the 100 predictions given
    i.e. 18% accuracy.
    By keeping a moving average, the actual error of these predictions over 10 weeks was 13%. In other words,if 24 degrees is predicted, it is equally likely the temperature will be
    21 or 27 or any temperature in between, a predicted 27 is equally likely to be23.5 or 27.5
    or any temperature in between, 32 may be28 or 36 or any temperature between.
    So, when a computer simulation predicts a rise in temperature of 2 degrees by 2050,
    using the accuracy of 7 day predictions the temperature is equally likely to be lower by 2 greater by 6 or any temperature in between.
    Were one to extrapolate the error of 13% for 7 days, for 35 years, any such computer simulation becomes totally and absolutely inaccurate.
    On the basis of this degree of accuracy, the world is prepared to spend billions of $
    to prevent climate change.


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