This page lists the most recently-uploaded publications that have been added to the ESD Publications database. Select one or more Research Program(s) to filter the list.

Publication Citation Research Program(s) Updated date
Shah, V., et al. (2023), Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements, Atmos. Chem. Phys., doi:10.5194/acp-23-1227-2023. ACMAP 7/27/2023
Version, P., et al. (2023), An Adaptive Auto-Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic, J. Adv. Modeling Earth Syst., 15, e2022MS003293, doi:10.1029/2022MS003293. MAP, ACMAP 7/27/2023
Brewer, J. F., et al. (2023), A Scheme for Representing Aromatic Secondary Organic Aerosols in Chemical Transport Models: Application to Source Attribution of Organic Aerosols Over South Korea During the KORUS-AQ Campaign, J. Geophys. Res., e2022JD037257, doi:10.1029/2022JD037257. ACMAP, TCP 7/27/2023
Qu, Z., et al. (2022), Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations, Environ. Res. Lett., 17, 094003, doi:10.1088/1748-9326/ac8754. CCEP 7/27/2023
Chen, Z., et al. (2023), Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations, Atmos. Chem. Phys., doi:10.5194/acp-22-10809-2022. CCEP 7/27/2023
Jacob, D. J., et al. (2023), Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane, Atmos. Chem. Phys., doi:10.5194/acp-22-9617-2022. CCEP 7/27/2023
Varon, D. J., et al. (2023), Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations, Geosci. Model. Dev., doi:10.5194/gmd-15-5787-2022. CCEP 7/27/2023
Delwiche, K. B., et al. (2022), Estimating Drivers and Pathways for Hydroelectric Reservoir Methane Emissions Using a New Mechanistic Model, J. Geophys. Res., 127, e2022JG006908, doi:10.1029/2022JG006908. CCEP 7/27/2023
Shen, L., et al. (2023), Satellite quantification of oil and natural gas methane emissions in the US and Canada including contributions from individual basins, Atmos. Chem. Phys., doi:10.5194/acp-22-11203-2022. CCEP 7/27/2023
Khan, A. L., P. Xian, and J. Schwarz (2023), Black carbon concentrations and modeled smoke deposition fluxes to the bare-ice dark zone of the Greenland Ice Sheet, The Cryosphere, 17, 2909-2918, doi:10.5194/tc-17-2909-2023. IDS, RSP 7/27/2023
Sorenson, B. T., et al. (2023), Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications, Atmos. Chem. Phys., 23, 7161-7175, doi:10.5194/acp-23-7161-2023. IDS, RSP 7/27/2023
Sorenson, B. T., et al. (2023), Ozone Monitoring Instrument (OMI) UV aerosol index data analysis over the Arctic region for future data assimilation and climate forcing applications, Atmos. Chem. Phys., doi:10.5194/acp-23-7161-2023. IDS 7/27/2023
Gumber, A., et al. (2023), Assessment of severe aerosol events from NASA MODIS and VIIRS aerosol products for data assimilation and climate continuity, Atmos. Meas. Tech., 16, 2547-2573, doi:10.5194/amt-16-2547-2023. IDS 7/27/2023
Yorks, J., et al. (2023), Meyer, J. L. Carr, M. J. Garay, K. E. Christian; A. Bennedetti, A. M. Ring, A. Crawford, M. J. Pavolonis, V. Aquila, J. Kim, S. Kondragunta, A SmallSat Concept to Resolve Diurnal and Vertical Variations of Aerosols and Clouds, Bull. Am. Meteorol. Soc., doi:10.1175/BAMS-D-21-0179.1. 7/27/2023
Marquis, J. W., et al. (2023), Estimating the Impact of Assimilating Cirrus Cloud–Contaminated Hyperspectral Infrared Radiances for Numerical Weather Prediction, J. Atmos. Oceanic Technol., 40, 327-340, doi:10.1175/JTECH-D-21-0165.1. IDS 7/27/2023
Xian, P., et al. (2023), Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes, Atmos. Chem. Phys., doi:10.5194/acp-22-9949-2022. IDS 7/27/2023
Painemal, D., et al. (2023), Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations, J. Geophys. Res., 128, e2022JD037725, doi:10.1029/2022JD037725. RSP 7/27/2023
Gryspeerdt, E., et al. (2023), Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions, Atmos. Chem. Phys., doi:10.5194/acp-23-4115-2023. RSP 7/27/2023
Xian, P., et al. (2023), Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend, Atmos. Chem. Phys., doi:10.5194/acp-22-9915-2022. IDS 7/27/2023
Zhang, J., et al. (2023), Sensitivity studies of nighttime top-of-atmosphere radiances from artificial light sources using a 3-D radiative transfer model for nighttime aerosol retrievals, Atmos. Meas. Tech., 16, 2531-2546, doi:10.5194/amt-16-2531-2023. IDS, RSP 7/27/2023

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