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CLIMATE SCIENCE
Climate oscillations were just illusions, scientists say
by Brooks Hays
Washington (UPI) Jan 3, 2020

Scientists identify climate signals in global weather
Washington (UPI) Jan 3, 2020 - The refrain "weather is not climate" is no long applicable, according to a new study. An international team of scientists has succeeded in identifying the signature of long-term warming trends in daily weather data.

When extreme weather strikes, whether record lows or prolonged drought, people often wonder about the connections between weather and climate change. Until recently, scientists have been reluctant to explicitly blame climate change for weather events. Instead, meteorologists and climate scientists alike often explain that weather is not climate.

The latest research doesn't promise to detect a climate signal in the weather affecting one specific place. Instead, scientists suggest they can isolate the signature of global warming in the weather affecting several places at once.

Last fall, temperatures in Utah dropped to negative 37.1 degrees Celsius, the lowest temperature ever recorded in the United States outside of Alaska.

In isolation, climate change can't account for the frigid temperature, but if elsewhere across the globe, temperatures are warmer than usual, the record low can quickly be canceled out, and the signature of climate change can appear.

"Uncovering the climate change signal in daily weather conditions calls for a global perspective, not a regional one," Sebastian Sippel, a postdoctoral researcher at ETH Zurich, said in a news release.

For the study, researchers used statistical learning techniques to analyze climate model simulations populated with data from weather stations across the globe. By looking at the temperatures across different regions, and comparing the ratio of expected warming to variability, the statistical learning techniques can determine whether or not climate change's fingerprint is present in the weather data.

While weather and temperature in any single place can vary dramatically, global daily mean values occupy a very narrow range. When scientists compared the distribution of global daily mean temperatures measured from 1951 to 1980 to those observed between 2009 and 2018, the curves barely overlapped. The difference between the two curves -- described this week in the journal Nature Climate Change -- represents the warming signature that is present in the daily data.

"Weather at the global level carries important information about climate," said lead researcher and ETH professor Reto 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," Knutti said. "This gives rise to new opportunities for the communication of regional weather events against the backdrop of global warming."

Researchers hope to continue applying their statistical techniques to identify the impacts of human-caused climate change and other human activities in weather and climate patterns, such as the hydrological cycle.

"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," Knutti said.

There is only one confirmed climate oscillation, the El Niño/Southern Oscillation, or ENSO, according to a new study.

Analysis by a team of meteorologists suggest another pair of atmospheric patterns, the Atlantic Multidecadal Oscillation and the Pacific Decadal Oscillation, or AMO and PDO, aren't real.

Scientists previously estimated that the AMO and PDO patterns, like ENSO, were defined by shifts in warming and cooling. But the latest research, published Friday in the journal Nature Communications, suggests these shifts in temperature -- mistaken as climate oscillations -- are best explained by human activities and natural variability.

"Our analysis throws cold water -- forgive the pun -- on the idea, advanced by some climate change contrarians, that certain aspects of climate change," study author Michael Mann, a climatologist and geophysicist at Pennsylvania State University, told UPI in an email. "For example, the increase in recent decades in North Atlantic hurricane activity can be dismissed as a part of a natural internal climate cycle."

Unfortunately, the latest findings mean climate modelers can't rely on the AMO or PDO patterns to help them predict climate shifts across smaller scales.

"When it comes to season and longer term climate forecasting, the only predictable signals may be the El Nino/Southern Oscillation phenomenon and human-caused climate change itself," Mann said.

To determine whether the AMO and PDO patterns were real, scientists used the best climate model simulations developed by researchers all over the world. For some models, the researchers supplied the simulations with external factors like volcanoes and human-induced greenhouse gas emissions. For the rest, the control models, scientists removed the external drivers.

"In the case of the 'control' experiments, there are no changes in external drivers -- no greenhouse gas increases, no sulphate aerosols, no volcanoes, no solar fluctuations," Mann said. "That means that any apparent 'signals' that emerge in those simulations must be of internal origin."

While control models successfully produced periodic climate shifts matching the ENSO pattern, they failed to yield anything resembling the AMO and PDO patterns.

Instead of an internal climate pattern, a predictable oscillation, Mann claims the AMO pattern is best explained by the "changing nature of competing human influences."

In the 1950s, '60s and '70s, a buildup of sulfur aerosol pollutants in the atmosphere, caused primarily by coal power plants, had a cooling effect on Earth's atmosphere. In the 1970s, the Clean Air Act and other regulatory measures helped curb sulfur aerosol pollution. As a result, the influence of greenhouse gas emissions reasserted itself, and global warming began to accelerate.

"In the case of the PDO, I think it was simply a misidentification of an apparent 20-year cyclicity in the Pacific climate system based on one or two apparent 'cycles' that simply turned out to be a chance fluctuation of the broad-band 'noise' of the Pacific climate system," Mann said.


Related Links
Climate Science News - Modeling, Mitigation Adaptation


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