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== Abstract ==
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<p>This paper presents an overview of studies on<br>
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numerical analysis of various kinds of uncertainties in integrated models<br>
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climate and economy. Applications of uncertainty analysis techniques are considered as<br>
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for deterministic models (Monte Carlo experiments, sensitivity analysis),<br>
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and for stochastic models of climate and economy (stochastic dynamic<br>
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programming).</p>
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== Full document ==
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<pdf>Media:Draft_Семенов_173587014-8996-document.pdf</pdf>
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Published on 06/01/23
Submitted on 29/12/22

Licence: CC BY-NC-SA license

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