This repo contains experimental code designed to test the ability of a machine learning model trained on [TCCON](https://tccondata.org/) data to reproduce diurnal cycles of XCO2 from more temporally sparse observations, such as those from satellites.

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This dataset reports data from Nghiem et al. (2024), "Testing floc settling velocity models in rivers and freshwater wetlands." Please refer to "readme.xlsx" for a description of each data file. The original sediment grain size distribution data for each sample can be found online on the NASA Delta-X repository.