Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7772
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dc.contributor.authorAPTE, AMITen_US
dc.date.accessioned2023-04-27T10:11:19Z
dc.date.available2023-04-27T10:11:19Z
dc.date.issued2022-02en_US
dc.identifier.citationResonance, 27(2), 217–231.en_US
dc.identifier.issn0971-8044en_US
dc.identifier.issn0973-712Xen_US
dc.identifier.urihttps://doi.org/10.1007/s12045-022-1310-9en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7772
dc.description.abstractThe 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.isoenen_US
dc.publisherIndian Academy of Sciencesen_US
dc.subjectClimate modellingen_US
dc.subjectRadiative-convective modelsen_US
dc.subjectFingerprintingen_US
dc.subjectStochastic climate modelsen_US
dc.subjectClimate changeen_US
dc.subjectEarth sciencesen_US
dc.subject2022en_US
dc.titleFrom Complexity to Simplicity and Backen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Data Scienceen_US
dc.identifier.sourcetitleResonanceen_US
dc.publication.originofpublisherIndianen_US
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