Multiparameter Sensitivity Analysis Results for the “DecarbFarm” Decarbonization Decision Support Tool

Published: 15 December 2025| Version 3 | DOI: 10.17632/n625vpggn5.3
Contributors:
Katrīna Muižniece, Jovita Pilecka-Ulcugaceva, Inga Grinfelde

Description

This dataset contains the results of a multiparameter global sensitivity analysis performed for the DecarbFarm farm-level decarbonization decision support tool. The analysis was conducted using two complementary global sensitivity analysis methods: the Sobol method and the Morris screening method. The objective of the analysis was to identify and quantify the influence of key parameters on the model outputs - greenhouse gas emissions - generated by DecarbFarm. The Sobol analysis provides first-order, second-order and total-order sensitivity indices, while the Morris method provides μ* and σ statistics indicating parameter importance and interaction effects. Morris analysis is conducted as a global sensitivity analysis. Sobol analysis is conducted using two steps approach. In the first step Sobol analysis is conducted for each input data set seperately. In the second step global Sobol analysis is conducted for the most sensitice parameters of each initial input data set.

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Categories

Environmental Science, Sensitivity Analysis, Climate Change

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