Uncertainty characterization in the retrieval of an atmospheric point release

Application of cavity ring-down spectroscopy and a novel near surface Gaussian plume estimation approach to inverse model landfill methane emissions

“…In the robust approach, a residual error bootstrapping method was applied to estimate the parameter variance-covariance matrix required to compute 95% confidence intervals [6 , 9] . This bootstrapping method has previously been used as a statistical approach to validate the uncertainty of continuous point source emission intensities (i.e., source strengths) in a variety of near surface, atmospheric modeling applications [25] . This bootstrapping approach randomly samples the error residuals from the best fitting model prediction and synthesizes a new dataset for which the model is recalibrated against to obtain a new set of parameter values.…”