Posted on 01/06/2020 1:21:08 PM PST by Oldeconomybuyer
Scientists have developed a method that allows them to identify so-called climate change "fingerprints" in daily weather observations - and it found consistent evidence of global warming every day since late March 2012.
Using climate models and statistical learning techniques, a team of researchers at ETH Zurich in Switzerland were able to identify climate change's "fingerprint" in global daily mean temperatures, which had been calculated from measurements collected in locations across the world.
The researchers highlighted that while local daily mean temperatures might fluctuate significantly year-on-year, global daily mean measurements show a consistent trend towards global warming.
They say their data modeling enables them to pinpoint the "fingerprint" of climate change on global measurements for any day since late March 2012 and every month since 2001.
"Weather at the global level carries important information about climate," Reto Knutti, a professor in climate science at ZTH, said in a statement. "This information could, for example, be used for further studies that quantify changes in the probability of extreme weather events, such as regional cold spells."
The researchers say their model could help explain the occurrence of abnormal regional weather events - such as cold snaps - and help the study of long-term climate change that might be "masked" by regional variations in temperature.
"In future, we should therefore be able to pick out human-induced patterns and trends in other more complex measurement parameters, such as precipitation, that are hard to detect using traditional statistics," said Knutti.
(Excerpt) Read more at newsweek.com ...
Are these “scientists” brilliant or what?
This is what happens when you allow monkeys near computers!
Its reverse engineering. You can do it in Excel. You enter the result you want and write a formula to come up with the variables.
To base a study for such a short period when a macro study is what is required smacks of progressive wishful thinking. Also, using models, which are biased programming, is a problem!
In other words, bypass the "all weather is local" thingy. Brilliant. This clown is a bigger con man the Greta is.
July 1st, 2012...the sun came up
July 2nd, 2012...the sun came up
I guess the science is settled, they have the facts!
One finger of they hand for thee
Or you make your predictions the day after the event occurred. Therefore always 100% accurate since the beginning of time and before when necessary. If in error just tweak as needed.
The good professor watched CNN weather reports for the last 12 years and always saw global warming mentioned in each report. Voila! There is your evidence!
“...tweak the algorithm until it shows warming. Then you publish”.
Thats how the National Marine Fisheries Service deemed red snapper in the Southeast Atlantic region were at “near extinction”.
After their methodology was totally discredited it was also shown in Congressional testimony that fabricated catch data was used to get to the fraudulent “near extinction” level.
Late last night on The Weather Channel, a guy said the Australian fires proved there is climate change because their *winter* temperatures rose to 104.
Whenever you see a situation with complicated prediction models, you also have lots of room for bias to masquerade as reason.
Adams, Scott. Win Bigly: Persuasion in a World Where Facts Don’t Matter (p. 65).
Whenever you see a situation with complicated prediction models, you also have lots of room for bias to masquerade as reason.
Adams, Scott. Win Bigly: Persuasion in a World Where Facts Don’t Matter (p. 65).
Still ignoring satellites
Where is that graphic/data from? Thanks.
These climate change models are based on manipulated data and computer models finding what computer modelers program computer models to find.
And IVE FOUND A WAY which is as or more accurate and shows the opposite.
Checkmate.
Collecting around the world ? - same city centers that each year have more concrete and asphalt than ever which heat up more than ever???
Its called Cherrypicking Data.
.
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