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The estimation of carbon stocks is subject to several error sources, including sampling errors, assessment errors, or prediction errors from models.
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International Maritime Organization (IMO) guidance recommends implementing Human Error Assessment and Reduction Technique (HEART) for assessing the effect of human error probability considering quantitative risk analysis of shipping and offshore operations.
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Finally a preliminary error assessment on the random and systematic errors, including non-LTE sources, is presented.
We analyze how this influences the error assessment for POD-Galerkin models of linear elliptic boundary value problems.
The approach reduces time consuming trial and error assessment processes and opens up alternative options for sustainable solutions.
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