We propose a methodology to estimate unknown atmospheric releases, including the number of emissions, addressing overfitting, and using an economical number of unknowns. It is based on the combination of accurate modeling to solve the dispersion problem with Bayesian inference to identify the parameters from observed concentrations. The estimation tool is tested with the Fusion Field Trial 2007 (FFT-07) data set.

中文翻译：

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通过贝叶斯推理估计大气释放数量和其他参数

我们提出了一种估计未知大气排放的方法，包括排放数量、解决过度拟合问题以及使用经济数量的未知数。它基于解决离散问题的精确建模与贝叶斯推理的结合，以从观测的浓度中识别参数。该估算工具使用 Fusion Field Trial 2007 (FFT-07) 数据集进行了测试。