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Synonyms: 
Atmospheric Tomography Mission
Associated content: 
ATom
Sub-categories: 
ATOM 2, ATom 3, ATOM 4, ATom Data Sets, ATom I

HCOOH in the Remote Atmosphere: Constraints from Atmospheric Tomography (ATom) Airborne Observations

Chen, X., et al. (2021), HCOOH in the Remote Atmosphere: Constraints from Atmospheric Tomography (ATom) Airborne Observations, ACS Earth Space Chem., doi:10.1021/acsearthspacechem.1c00049.

Chemical transport models often underestimate inorganic aerosol acidity in remote regions of the atmosphere

Nault, B., et al. (2021), Chemical transport models often underestimate inorganic aerosol acidity in remote regions of the atmosphere, Commun Earth Environ, 2, doi:10.1038/s43247-021-00164-0.

Five years of variability in the global carbon cycle: comparing an estimate from the Orbiting Carbon Observatory-2 and process-based models

Chen, Z., et al. (2021), Five years of variability in the global carbon cycle: comparing an estimate from the Orbiting Carbon Observatory-2 and process-based models, Environ. Res. Lett., 16, doi:10.1088/1748-9326/abfac1.

Linking global terrestrial CO2 fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models

Chen, Z., et al. (2021), Linking global terrestrial CO2 fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models, Atmos. Chem. Phys., 21, 6663-6680, doi:10.5194/acp-21-6663-2021.

Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) observations

Lu, X., et al. (2021), Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) observations, Atmos. Chem. Phys., 21, 4637-4657, doi:10.5194/acp-21-4637-2021.

Machine learning uncovers aerosol size information from chemistry and meteorology to quantify potential cloud-forming particles

Nair, A. A., et al. (2021), Machine learning uncovers aerosol size information from chemistry and meteorology to quantify potential cloud-forming particles, Geophys. Res. Lett., doi:10.1029/2021GL094133.

Aerosol pH Indicator and Organosulfate Detectability from Aerosol Mass Spectrometry Measurements

Schueneman, M., et al. (2021), Aerosol pH Indicator and Organosulfate Detectability from Aerosol Mass Spectrometry Measurements, Atmos. Meas. Tech., doi:10.5194/amt-2020-339.

A 3D-model inversion of methyl chloroform to constrain the atmospheric oxidative capacity

Naus, S., et al. (2021), A 3D-model inversion of methyl chloroform to constrain the atmospheric oxidative capacity, Atmos. Chem. Phys., doi:10.5194/acp-2020-624.

The Global Budget of Atmospheric Methanol: New Constraints on Secondary, Oceanic, and Terrestrial Sources

Bates, K. H., et al. (2021), The Global Budget of Atmospheric Methanol: New Constraints on Secondary, Oceanic, and Terrestrial Sources, J. Geophys. Res., 126, doi:10.1029/2020JD033439.

Sea spray aerosol concentration modulated by sea surface temperature

Liu, S., et al. (2021), Sea spray aerosol concentration modulated by sea surface temperature, Proc. Natl. Acad. Sci., doi:10.1073/pnas.2020583118.

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