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New Perspective on Using Observational Uncertainty to Improve Reliability of NOx Emissions Over Northern China

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Figshare2025-10-07 更新2026-04-28 收录
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https://figshare.com/articles/dataset/New_Perspective_on_Using_Observational_Uncertainty_to_Improve_Reliability_of_NO_sub_x_sub_Emissions_Over_Northern_China/28093670
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This dataset contains all of the data underlying the figures and results in the accompanying paper "New Perspective on Using Observational Uncertainty to Improve Reliability of NOx Emissions Over Northern China".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—TO10%, TO20%, TO30%, TO40%, and TO50%. Three driving factors, divergence terms and emission results produced by perturbed TROPOMI NO2 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
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2025-10-07
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