"If you have a latte, drink a quarter and fill it with milk, it still tastes like a latte just a little weaker, drink another quarter and fill with milk it's starting to weaken considerably, eventually all you have is a cup of milk with a hint of coffee"
When they used the historical data to homogenise the real time data they added a double shot.
Some of the historical data, used to measure rising temperatures, dates back to 1900 and at that time 8000 vehicles were registered in the USA. This amount of vehicles would have no effect on the met stations. It wasn't until 1913 that the 1 millionth car and 68,000 trucks were registered on the road.
In 1968 the US reached its 100 millionth motor vehicle
registered with 352 thousand buses and 17 million trucks. I would suggest at this point cities started to become congested and VHA occurred at met stations, causing higher temperature readings, spoken of in my previous blog
first used was to 1984 and assuming 1968 was the point where VHA was being felt on met stations, they used 68 years non VHA and 16 years VHA in the calculation of averages giving a false lower average for the historical data. When compared, to the 1984 VHA met station reading, it appeared as a rise in temperature. However this was from the, false lower average. Today the more than 250 million vehicles cause greater congestion and VHA causes higher readings at those same met stations
In 2016 we are using 68 years non VHA and 46 years VHA. Could the hiatus be explained that as we near 2036, the 50/50 point between VHA and Non VHA, the discrepancy which it is causing are diminishing and therefore the appearance of rising temperatures slowed. Food for thought.
I believe, I have made a strong case that some met stations are measuring VHA caused by the over 250 million cars on US roads, in my previous blog .
This obvious contamination of the historical data, in that no homogenisation
process is used for VHA / non VHA years, also adds doubt to the validity
of method used for climate science.