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January 17, 2020 06:05 pm

Climate Models Are Getting Future Warming Projections

Alan Buis of NASA's Jet Propulsion Laboratory, writes: There's an old saying that "the proof is in the pudding," meaning that you can only truly gauge the quality of something once it's been put to a test. Such is the case with climate models: mathematical computer simulations of the various factors that interact to affect Earth's climate, such as our atmosphere, ocean, ice, land surface and the Sun. For decades, people have legitimately wondered how well climate models perform in predicting future climate conditions. Based on solid physics and the best understanding of the Earth system available, they skillfully reproduce observed data. Nevertheless, they have a wide response to increasing carbon dioxide levels, and many uncertainties remain in the details. The hallmark of good science, however, is the ability to make testable predictions, and climate models have been making predictions since the 1970s. How reliable have they been? Now a new evaluation of global climate models used to project Earth's future global average surface temperatures over the past half-century answers that question: most of the models have been quite accurate. In a study accepted for publication in the journal Geophysical Research Letters, a research team led by Zeke Hausfather of the University of California, Berkeley, conducted a systematic evaluation of the performance of past climate models. The team compared 17 increasingly sophisticated model projections of global average temperature developed between 1970 and 2007, including some originally developed by NASA, with actual changes in global temperature observed through the end of 2017. The observational temperature data came from multiple sources, including NASA's Goddard Institute for Space Studies Surface Temperature Analysis (GISTEMP) time series, an estimate of global surface temperature change. The results: 10 of the model projections closely matched observations. Moreover, after accounting for differences between modeled and actual changes in atmospheric carbon dioxide and other factors that drive climate, the number increased to 14. The authors found no evidence that the climate models evaluated either systematically overestimated or underestimated warming over the period of their projections.

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