Don Wood – MessageToEagle.com – Until now, climate researchers have responded that climate is not the same thing as weather.
Climate is what we expect in the long term, whereas weather is what we get in the short term — and since local weather conditions are highly variable, it can be very cold in one location for a short time despite long-term global warming.
In short, the variability of local weather masks long-term trends in global climate.
A record cold day does not call climate change into question. On the contrary: in daily weather, climate researchers have been able to detect the fingerprint of climate change since 2012. (Photograph: Colourbox)
Yet, scientists have now detected the fingerprint of global warming in daily weather observations at the global scale.
In October this year, weather researchers in Utah measured the lowest temperature ever recorded in the month of October in the US (excluding Alaska): -37.1°C.
The previous low-temperature record for October was -35°C, and people wondered what had happened to climate change.
Led by professor Reto Knutti, scientists from ETH Zurich in Switzerland have now conducted a new analysis of temperature measurements and models. The scientists concluded that the weather-is-not-climate paradigm is no longer applicable in that form. According to the researchers, the climate signal — that is, the long-term warming trend — can actually be discerned in daily weather data, such as surface air temperature and humidity, provided that global spatial patterns are taken into account.
In plain English, this means that despite global warming there may well be a record low temperature in October in the US.
If it is simultaneously warmer than average in other regions, however, this deviation is almost completely eliminated.
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“Uncovering the climate change signal in daily weather conditions calls for a global perspective, not a regional one,” says Sebastian Sippel, a postdoc working in Knutti’s research group and lead author of a study recently published in Nature Climate Change.
The findings could have broad implications for climate science. “Weather at the global level carries important information about climate,” says Knutti.
“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. These studies are based on model calculations, and our approach could then provide a global context of the climate change fingerprint in observations made during regional cold spells of this kind.
This gives rise to new opportunities for the communication of regional weather events against the backdrop of global warming.”
North American surface temperatures for Dec. 26, 2017 – Jan. 2, 2018: Even if it is extremely cold in a region, this does not mean that climate change has stopped. (Source: NASA Earth Observatory)
Data science methods not only allow researchers to demonstrate the strength of the human “fingerprint,” they also show where in the world climate change is particularly clear and recognizable at an early stage.
This is very important in the hydrological cycle, where there are very large natural fluctuations from day to day and year to year.
“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,” says the ETH professor.
Written by Don Wood – MessageToEagle.com Staff
Expand for referencesSebastian Sippel, Nicolai Meinshausen, Erich M. Fischer, Enikő Székely, Reto Knutti. Climate change now detectable from any single day of weather at global scale. Nature Climate Change, 2020; 10 (1): 35 DOI: 10.1038/s41558-019-0666-7