Saturday, December 5, 2020
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NASA Scientist: Earth’s ‘temperature doesn’t change dramatically, even with greenhouse effects’

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https://scienmag.com/climate-of-jupiter-and-saturn-may-yield-clues-to-earths-weather/

Liming Li, an assistant professor of physics in the UH College of Natural Sciences and Mathematics, is leading a team of scientists from NASA’s Jet Propulsion Laboratory and the University of Wisconsin-Madison to analyze data collected by instruments on board the Cassini spacecraft, which is on a mission to explore Saturn’s systems. Through two new projects awarded by NASA’s Planetary Science Division and funded for $709,000, Li and his team have the opportunity to study data collected aboard Cassini as it relates to climate. An international mission, Cassini is supported by NASA, the European Space Agency and the Italian Space Agency.

14 COMMENTS

  1. UH is University of Houston, in Texas.

    This review does not seem to point to the long term effects of “Green House Gasses” but rather to the short term. Short term seeming to be periods of the planets year. For Earth that would be 1 year, for Saturn and Jupiter that is 30+ years. Without a definitive statement from the researchers as to the time scale they are talking about I don’t think you can say much other than that the “Green House” effect over a planets “year” is insignificant for Earth vs a “year” on Jupiter & Saturn.

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  2. This is along the lines of what I’ve been wondering about. We have satellites recording energy from space and reflecting from the earth. If we can measure both year-over-year and they correlate with each other [i.e., does higher energy from space correlate with higher energy from Earth, do energy levels from Earth reduce over time as that energy is trapped in the atmosphere, etc.], wouldn’t that prove or disprove this theory? If there’s no statistical difference over a sampled time, then the greenhouse effect isn’t happening, and if there is, then it’s possible. That seems like a much more common-sense approach, measurable and verifiable, then using computer models to guess the future. We can’t predict the path or intensity of hurricanes with significant accuracy after 24 hours or so, but we can tell what the climate in ten years will be? Especially when multiple models all predict different results?

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