Articles | Volume 16, issue 16
https://doi.org/10.5194/amt-16-3787-2023
https://doi.org/10.5194/amt-16-3787-2023
Research article
 | 
18 Aug 2023
Research article |  | 18 Aug 2023

A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases

Nicholas Balasus, Daniel J. Jacob, Alba Lorente, Joannes D. Maasakkers, Robert J. Parker, Hartmut Boesch, Zichong Chen, Makoto M. Kelp, Hannah Nesser, and Daniel J. Varon

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Cited articles

Aas, K., Jullum, M., and Løland, A.: Explaining individual predictions when features are dependent: More accurate approximations to Shapley values, Artif. Intell., 298, 103502, https://doi.org/10.1016/j.artint.2021.103502, 2021. 
Aben, I., Hasekamp, O., and Hartmann, W.: Uncertainties in the space-based measurements of CO2 columns due to scattering in the Earth's atmosphere, J. Quant. Spectrosc. Ra., 104, 450–459, https://doi.org/10.1016/j.jqsrt.2006.09.013, 2007. 
Apituley, A., Pedergnana, M., Sneep, M., Veefkind, J. P., Loyola, D., Hasekamp, O., Delgado, A. L., and Borsdorff, T.: Sentinel-5 precursor/TROPOMI Level 2 Product User Manual Methane, v2.4.0, SRON, https://sentinels.copernicus.eu/documents/247904/2474726/Sentinel-5P-Level-2-Product-User-Manual-Methane.pdf (last access: 3 July 2023), 2022. 
Balasus, N.: Blended TROPOMI+GOSAT Satellite Data Product for Atmospheric Methane, Harvard Dataverse [data set], https://dataverse.harvard.edu/dataverse/blended-tropomi-gosat-methane (last access: 9 August 2023), 2023a. 
Balasus, N.: nicholasbalasus/blended_tropomi_gosat_methane: AMT, Version v2, Zenodo [code], https://doi.org/10.10.5281/zenodo.8136738, 2023b.