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Abstract: Improving Remote Sensing of Volcanic Carbon Dioxide Emissions from OCO-2 through Machine Learning-Based Retrieval of Aerosol Parameters from L1B Spectra (AGU25)

Improving Remote Sensing of Volcanic Carbon Dioxide Emissions from OCO-2 through Machine Learning-Based Retrieval of Aerosol Parameters from L1B Spectra

Kevin Peng1, Sihe Chen2, Vijay Natraj3, Yangcheng Luo4, Robert R Nelson3 and Yuk L Yung2, (1)California Institute of Technology, Pasadena, CA, United States, (2)California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)LMD/IPSL, Sorbonne Université, PSL Research University, École Normale Supérieure, École Polytechnique, CNRS, Paris, France, Paris, France