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Investigation of the Merge Model Using Data with Errors

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The interdisciplinary optimization model MERGE is widely used for studying climate change problems. MERGE is intended primarily for quantitative assessment of the results achieved by various natureconservation strategies. In this article, we analyze the stability of the output parameters of the model under variations in key variables and introduce the concepts of global and comparative sensitivity.

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Correspondence to B. V. Digas.

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Translated from Prikladnaya Matematika i Informatika, No. 44, 2013, pp. 35–40.

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Digas, B.V. Investigation of the Merge Model Using Data with Errors. Comput Math Model 25, 470–474 (2014). https://doi.org/10.1007/s10598-014-9241-2

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