Nature Climate Change volume 10, pages35–41(2020)Cite this article
Abstract
For generations, climate scientists have educated the public that ‘weather is not climate’, and climate change has been framed as the change in the distribution of weather that slowly emerges from large variability over decades1,2,3,4,5,6,7. However, weather when considered globally is now in uncharted territory. Here we show that on the basis of a single day of globally observed temperature and moisture, we detect the fingerprint of externally driven climate change, and conclude that Earth as a whole is warming. Our detection approach invokes statistical learning and climate model simulations to encapsulate the relationship between spatial patterns of daily temperature and humidity, and key climate change metrics such as annual global mean temperature or Earth’s energy imbalance. Observations are projected onto this relationship to detect climate change. The fingerprint of climate change is detected from any single day in the observed global record since early 2012, and since 1999 on the basis of a year of data. Detection is robust even when ignoring the long-term global warming trend. This complements traditional climate change detection, but also opens broader perspectives for the communication of regional weather events, modifying the climate change narrative: while changes in weather locally are emerging over decades, global climate change is now detected instantaneously.
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Is this article a parody?
Micro-Statistics: One point of selective data = Very Concerning Trend
I should have stopped reading when it got to ‘simulations’. What a waste of a perfectly good research grant.
“Our detection approach invokes statistical learning and climate model simulations ….”
Having spent part of my career creating, examining and using models, I would like to know if anyone has ever produced a model that could produce accurate long-term (say >50 years) forecasts that worked in any discipline, let alone one like climate which is dependent on so many variables, both natural and, possibly anthropogenic.
“Our detection approach invokes statistical learning and climate model simulations to encapsulate the relationship between spatial patterns of daily temperature and humidity, and key climate change metrics such as annual global mean temperature or Earth’s energy imbalance. Observations are projected onto this relationship to detect climate change. The fingerprint of climate change is detected from any single day in the observed global record since early 2012, and since 1999 on the basis of a year of data”
Oh wow!
This is just amazing!
You guys are amazing.
Climate science is amazing!
https://tambonthongchai.com/2019/12/25/earth-day-wisdom/
https://tambonthongchai.com/2019/09/01/tipping-points/
You can have a, new, climate change every day by comparing deviations to weather.
– sadly 1: again it’s 60 years gone before daring to call that “climate”.
– sadly 2: you spoiled your data with basing on the, dayly, useless because unintended, uncontrollable dayly weather “data”.
The good news: You live a meaningless, fulfilled life.