New Perspective on Using Observational Uncertainty to Improve Reliability of NO<sub>x</sub> Emissions Over Northern China
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This dataset contains all of the data underlying the figures and results in the accompanying paper "<b>New Perspective on Using Observational Uncertainty to Improve Reliability of NO</b><sub><i><strong>x</strong></i></sub><b> Emissions Over Northern China</b>".Upon establishing a computational model, it can be utilized to conduct simulations across a range of uncertainties to determine the threshold beyond which the integrity of the results is compromised, systematically evaluated at incremental uncertainty levels—TO<sub>10%</sub>, TO<sub>20%</sub>, TO<sub>30%</sub>, TO<sub>40%</sub>, and TO<sub>50%</sub>. Three driving factors, divergence terms and emission results produced by perturbed TROPOMI NO<sub>2</sub> across six levels of uncertainty are listed respectively under:COE-Six Levels of Perturbation (related to Table 1) / Divergence-Six Levels of Perturbation / Emissions-Six Levels of PerturbationDatasets for each figures are also listed respectively under:Figure 4.zip / Figure 5.zip / Figure 6.zip / Figure 7.zip (related to Table 2) / Figure 8.zip (related to Table 3) / Figure 9.zip / Figure 10 (including CEMS Data).zip
