This page lists the publications in the ESD Publications database, sorted by first author and year. To filter the list, select one or more Research Program(s) to filter the list, or else specify a publication year (e.g., 2011). Options to view other pages of the list are provided at the bottom of the page.

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Publication Citation
Sayer, A. M., et al. (2019), Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data, Atmos. Meas. Tech., 12, 3595-3627, doi:10.5194/amt-12-3595-2019.
Schoeberl, M. R., et al. (2019), Water Vapor, Clouds, and Saturation in the Tropical Tropopause Layer, J. Geophys. Res., 124, doi:10.1029/2018JD029849.
shinozuka, et al. (2019), Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016, Atmos. Chem. Phys. Discuss., doi: https://doi.org/10.5194/acp-2019-678 (submitted).
Ullrich, R., et al. (2019), Comparison of Modeled and Measured Ice Nucleating Particle Composition in a Cirrus Cloud, J. Atmos. Sci., 76, 1015-1029, doi:10.1175/JAS-D-18-0034.1.
Williamson, C. J., et al. (2019), A large source of cloud condensation nuclei from new particle formation in the tropics, Nature, doi:10.1038/s41586-019-1638-9.
Williamson, C., et al. (2019), ATom: In Situ Tropical Aerosol Properties and Comparable Global Model Outputs, Ornl Daac, doi:10.3334/ORNLDAAC/1684.
Williamson, C., et al. (2019), A large source of cloud condensation nuclei from new particle formation in the tropics, Nature, 574, 399-403, doi:10.1038/s41586-019-1638-9.
Wolfe, G. M., et al. (2019), ATom: Column-Integrated Densities of Hydroxyl and Formaldehyde in Remote Troposphere, Ornl Daac, doi:10.3334/ORNLDAAC/1669.
Wolfe, G. M., et al. (2019), Mapping hydroxyl variability throughout the global remote troposphere via synthesis of airborne and satellite formaldehyde observations, Proc. Natl. Acad. Sci., doi:10.1073/pnas.1821661116.
Worden, J., et al. (2019), Characterization and evaluation of AIRS-based estimates of the deuterium content of water vapor, Atmos. Meas. Tech., 12, 2331-2339, doi:10.5194/amt-12-2331-2019.
Yu, H., et al. (2019), Estimates of African Dust Deposition Along the Trans‐ Atlantic Transit Using the Decadelong Record of Aerosol Measurements from CALIOP, MODIS, MISR, and IASI, J. Geophys. Res., 124, 7975-7996, doi:10.1029/2019JD030574.
Baker, K. R., et al. (2018), Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data, Science of the Total Environment, 637–638, 1137-1149, doi:10.1016/j.scitotenv.2018.05.048.
Claverie, M., et al. (2018), The Harmonized Landsat and Sentinel-2 surface reflectance data set T a,b,⁎ b,c b d b, Remote Sensing of Environment, 219, 145-161, doi:10.1016/j.rse.2018.09.002.
Diamond, M., et al. (2018), Time-dependent entrainment of smoke presents an observational challenge for assessing aerosol–cloud interactions over the southeast Atlantic Ocean, Atmos. Chem. Phys., 18, 14623-14636, doi:10.5194/acp-18-14623-2018.
Ferraz, A., et al. (2018), Carbon Storage Potential in Degraded Forests of Kalimantan, Indonesia. Environmental Research Letters, 13, doi:10.1088/1748-9326/aad782.
Fu, D., et al. (2018), Retrievals of tropospheric ozone profiles from the synergism of AIRS and OMI: methodology and validation, Atmos. Meas. Tech., 11, 5587-5605, doi:10.5194/amt-11-5587-2018.
Gaudel, A., et al. (2018), Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation, Elem Sci Anth, 6, 39, doi:10.1525/elementa.291.
Gaudel, et al. (2018), Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation, Elem Sci Anth, 6, 39, doi:10.1525/elementa.
Hedelius, J. K., et al. (2018), Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model, Atmos. Chem. Phys., 18, 16271-16291, doi:10.5194/acp-18-16271-2018.
Hedelius, J. K., et al. (2018), Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model, Atmos. Chem. Phys., 18, 16271-16291, doi:10.5194/acp-18-16271-2018.

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