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From Complexity to Simplicity and Back

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dc.contributor.author APTE, AMIT en_US
dc.date.accessioned 2023-04-27T10:11:19Z
dc.date.available 2023-04-27T10:11:19Z
dc.date.issued 2022-02 en_US
dc.identifier.citation Resonance, 27(2), 217–231. en_US
dc.identifier.issn 0971-8044 en_US
dc.identifier.issn 0973-712X en_US
dc.identifier.uri https://doi.org/10.1007/s12045-022-1310-9 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7772
dc.description.abstract The Nobel Prize of 2021 highlighted the importance of understanding the complex dynamical processes that govern the evolution of Earth’s climate. Two of the Nobel laureates, Syukuro Manabe and Klaus Hasselmann pioneered the creation of a robust theoretical and mathematical framework for using a hierarchy of models of varying complexity to study a variety of questions, the most important of which may be: how do we quantify the effects of human activities on the Earth’s climate? Three main contributions of Manabe and Hasselmann on which this article focuses are: (i) simple radiative-convective models that study, among other factors, the effect of changes of CO2 concentration; (ii) a methodology to derive simpler, stochastic climate models from more complex, coupled models for the weather; and (iii) mathematical techniques called fingerprinting that quantify the human impact on the climate. en_US
dc.language.iso en en_US
dc.publisher Indian Academy of Sciences en_US
dc.subject Climate modelling en_US
dc.subject Radiative-convective models en_US
dc.subject Fingerprinting en_US
dc.subject Stochastic climate models en_US
dc.subject Climate change en_US
dc.subject Earth sciences en_US
dc.subject 2022 en_US
dc.title From Complexity to Simplicity and Back en_US
dc.type Article en_US
dc.contributor.department Dept. of Data Science en_US
dc.identifier.sourcetitle Resonance en_US
dc.publication.originofpublisher Indian en_US


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