Monsoon Hysteresis reveals Atmospheric Memory

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Atmospheric moisture accumulation, independent of oceanic heat storage, generates hysteresis in monsoon circulation, revealing a previously unrecognized atmospheric memory with implications for future monsoon rainfall.

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The paper studies how “hysteresis” and multistability can arise in monsoon atmospheric circulation, focusing on whether the atmosphere can retain memory despite its fast mixing times. Using observational data, a general circulation model, and a mathematical moisture–advection feedback formulation, it finds that moisture accumulation in the atmospheric column generates hysteresis and yields two stable atmospheric states under the same boundary conditions, independent of oceanic heat storage. The model-based hysteresis is reported to increase when oceanic memory decreases, with the proposed mechanism being atmospheric moisture memory carried across longer time scales than typical mixing. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Within Earth’s climate system the ocean, cryosphere and vegetation exhibit hysteresis behaviour such that their state depends on their past and not merely on their current boundary conditions. The atmosphere’s fast mixing time scales were thought to inhibit the necessary memory effect for such multistability. Here we show that moisture accumulation within the atmospheric column generates hysteresis in monsoon circulation independent of oceanic heat storage and yields two stable atmospheric states for the same boundary conditions. Hysteresis is shown in observational data, reproduced in a general circulation model where it increases with decreasing oceanic memory and then reproduced in a mathematical formulation of the moisture-advection feedback. Thus moisture accumulation can generate bistability through an atmospheric memory that carries information across time scales much longer than those typical for mixing. This has implications for the future evolution of monsoon rainfall that is crucial for the agricultural productivity currently feeding more than two billion people.
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The atmosphere’s fast mixing time scales were thought to inhibit the necessary memory effect for such multistability. Here we show that moisture accumulation within the atmospheric column generates hysteresis in monsoon circulation independent of oceanic heat storage and yields two stable atmospheric states for the same boundary conditions. Hysteresis is shown in observational data, reproduced in a general circulation model where it increases with decreasing oceanic memory and then reproduced in a mathematical formulation of the moisture-advection feedback. Thus moisture accumulation can generate bistability through an atmospheric memory that carries information across time scales much longer than those typical for mixing. This has implications for the future evolution of monsoon rainfall that is crucial for the agricultural productivity currently feeding more than two billion people. Earth and environmental sciences/Climate sciences/Atmospheric science/Atmospheric dynamics Earth and environmental sciences/Environmental sciences/Environmental impact Earth and environmental sciences/Climate sciences/Climate change/Climate and Earth system modelling Full Text Additional Declarations There is NO Competing Interest. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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