Atmospheric Composition

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Parker, H.A., et al. (2023), Inferring the vertical distribution of CO and CO2 from TCCON total column values using the TARDISS algorithm, Atmos. Meas. Tech., 16, 2601-2625, doi:10.5194/amt-16-2601-2023.

Laughner, J.L., et al. (2023), A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm, Atmos. Meas. Tech., 16, 1121-1146, doi:10.5194/amt-16-1121-2023.

Fiore, A., et al. (2024), Climate and Tropospheric Oxidizing Capacity, Annual Review of Earth and Planetary Sciences, 52, doi:10.1146/annurev-earth-032320-090307.

Bian, H., et al. (2023), Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations, doi:10.5194/egusphere-2023-1966 (submitted).

Loechli, M., et al. (2023), Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations, Global Biogeochem. Cycles, 37, e2022GB007520, doi:10.1029/2022GB007520.

Guan, J., et al. (2021), Global Surface HCHO Distribution Derived from Satellite Observations with Neural Networks Technique, Remote Sens., 13, 4055, doi:10.3390/rs13204055.

Vera, T., et al. (2022), An overview of methodologies for the determination of volatile organic compounds in indoor air., Applied Spectroscopy Reviews, 57(8), 625-674, doi:10.1080/05704928.2022.2085735.

Salzmann, M., et al. (2022), The Global Atmosphere-aerosol Model ICON-A-HAM2.3– Initial Model Evaluation and Effects of Radiation Balance Tuning on Aerosol Optical Thickness, J. Adv. Modeling Earth Syst., 22(9), 6347-6364, doi:10.1029/2021MS002699.