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Atmospheric methane source and sink sensitivity analysis using Gaussian process emulation

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This project presents the data and code used to create Gaussian process emulators for atmospheric methane mole fractions and delta values in a three-dimensional chemistry transport model (CTM), and examine the sensitivity to different input parameters. The project is further explained in the sensitivity paper (https://doi.org/10.5194/acp-21-1717-2021).

This project has two constituent parts:

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atmosphereatmosphericgaussian processmachine learningmethaneMOZARTsensitivity

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