• New mathematical method shows how climat

    From ScienceDaily@1337:3/111 to All on Thu Sep 3 21:30:34 2020
    New mathematical method shows how climate change led to fall of ancient civilization
    Researcher applies method to Indus Valley Civilization

    Date:
    September 3, 2020
    Source:
    Rochester Institute of Technology
    Summary:
    A researcher developed a mathematical method that shows climate
    change likely caused the rise and fall of an ancient civilization. A
    new article outlines the technique he developed and shows how
    shifting monsoon patterns led to the demise of the Indus Valley
    Civilization, a Bronze Age civilization contemporary to Mesopotamia
    and ancient Egypt.



    FULL STORY ==========================================================================
    A Rochester Institute of Technology researcher developed a mathematical
    method that shows climate change likely caused the rise and fall of an
    ancient civilization. In an article recently featured in the journal
    Chaos: An Interdisciplinary Journal of Nonlinear Science, Nishant Malik, assistant professor in RIT's School of Mathematical Sciences, outlined the
    new technique he developed and showed how shifting monsoon patterns led
    to the demise of the Indus Valley Civilization, a Bronze Age civilization contemporary to Mesopotamia and ancient Egypt.


    ========================================================================== Malik developed a method to study paleoclimate time series, sets of data
    that tell us about past climates using indirect observations. For example,
    by measuring the presence of a particular isotope in stalagmites from a
    cave in South Asia, scientists were able to develop a record of monsoon rainfall in the region for the past 5,700 years. But as Malik notes,
    studying paleoclimate time series poses several problems that make it challenging to analyze them with mathematical tools typically used to understand climate.

    "Usually the data we get when analyzing paleoclimate is a short time
    series with noise and uncertainty in it," said Malik. "As far as
    mathematics and climate is concerned, the tool we use very often in understanding climate and weather is dynamical systems. But dynamical
    systems theory is harder to apply to paleoclimate data. This new method
    can find transitions in the most challenging time series, including paleoclimate, which are short, have some amount of uncertainty and have
    noise in them." There are several theories about why the Indus Valley Civilization declined - - including invasion by nomadic Indo-Aryans
    and earthquakes -- but climate change appears to be the most likely
    scenario. But until Malik applied his hybrid approach -- rooted in
    dynamical systems but also draws on methods from the fields of machine
    learning and information theory -- there was no mathematical proof. His analysis showed there was a major shift in monsoon patterns just before
    the dawn of this civilization and that the pattern reversed course right
    before it declined, indicating it was in fact climate change that caused
    the fall.

    Malik said he hopes the method will allow scientists to develop more
    automated methods of finding transitions in paleoclimate data and leads
    to additional important historical discoveries. The full text of the study
    is published in Chaos: An Interdisciplinary Journal of Nonlinear Science.


    ========================================================================== Story Source: Materials provided by
    Rochester_Institute_of_Technology. Original written by Luke Auburn. Note: Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Nishant Malik. Uncovering transitions in paleoclimate time series
    and the
    climate driven demise of an ancient civilization. Chaos: An
    Interdisciplinary Journal of Nonlinear Science, 2020; 30 (8):
    083108 DOI: 10.1063/5.0012059 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/09/200903105605.htm

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