Another Below Average Year For US Tornadoes
By Paul Homewood
http://www.spc.noaa.gov/wcm/torngraph-big.png
Provisional data from the Storm Prediction Centre shows that the number of tornadoes in 2015 finished well be low average for the fourth year running, though higher than the last three years.
Local storm reports (LSRs) are always higher then final tornado counts, because of duplication, counting of non tornado events, etc. Final confirmation of tornadoes and EF’s categories takes about three months, but there were 948 confirmed tornadoes up to the end of September, and NOAA estimate a full year total of 1150.
Significantly, there were few strong tornadoes in 2015, with one EF-4 confirmed in April, and two more provisional in December. There were no EF-5’s at all, the strongest category.
http://www.spc.noaa.gov/wcm/#data
Full analysis will be available in March.
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NOT A LOT OF PEOPLE KNOW THAT 
The new emphasis on “extreme” weather events means normal events – like few tornadoes or hurricanes – are irrelevant. What counts is low frequency, high amplitude events, and with the world to search, you can always find something.
Climate change/CAGW has turned how we understand the world upside down. It was – is – standard to look at things overall, determine the average, mean and mode, and excuse the outliers to grasp what was going on (incorporate the outliers, yes, but recognize them as outliers even if they were, like rogue waves, a feature of the non-outlier whole). Climate change now says the whole is best understood by focusing on the outliers. This would be like saying humanity is best reflected by a listing of the psychopathic killers in our midst.
The inversion of commonsense analytical techniques guarantees conclusions that are both alarming and negative. Good weather is never “extreme”. Positive news is non-disruptive. All that data disappears when the focus is on the extreme, the outlier.
Let’s call this the “Rogue wave theory”: any analysis which focuses on outliers as an expression of a main dataset will necessarily determine the outliers to be the principal feature of the dataset as they have the most highly developed features and generate the greatest attention. If your Captain studied only rogue waves at the Academy, he will see the potential for rogue waves everywhere he looks and keep your ship on constant Red Alert.
(Stated differently: the man who thinks he sees enemies everywhere, will.)
Despite reporting on the recent Tornadoes which caused deaths and linking them to Climate Change, I don’t think the BBC has reported that the overall numbers are below average.
They also couldn’t resist linking the recent Air Canada flight affected by air turbulence to Climate Change, at the very end of the is video;
“Scientist say a warmer climate could mean more turbulence across the North Atlantic, so bumpier flights could be something we’ll all have to get used to.”
http://www.bbc.co.uk/news/world-us-canada-35208171
Thanks for the news, Paul.
I will be updating my “Tornadoes” article today.
Reblogged this on WeatherAction News and commented:
#ClimateChanged 😉
War is peace. Or something:
http://www.independent.co.uk/environment/green-energy-how-one-power-plant-chips-away-at-the-uks-carbon-footprint-a6796716.html
Just think. What is good for people living in tornado-prone areas is bad for those seeking to take over our lives in the name of “climate change.”
The alarmists were having a hissy fit about the US tornadoes in December. The fact of the matter is that December tornadoes in the southern US are not unprecedented or even that unusual. There have been far worse ones during past years in terms of fatalities.