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.

Publication Citation Research Program(s)
barahona, D. (2020), Bias-Free Estimation of Ice Nucleation Efficiencies, Geophys. Res. Let, doi:10.1029/2019GL086033. MAP
Cheng, Y., et al. (2020), A Second-Order Closure Turbulence Model: New Heat Flux Equations and No Critical Richardson Number, J. Atmos. Sci., 77, 2743-2759, doi:10.1175/JAS-D-19-0240.1. MAP
Fleming, E., et al. (2020), The Impact of Continuing CFC‐11 Emissions on Stratospheric Ozone, J. Geophys. Res., 125, doi:10.1029/2019JD031849. MAP, , ACMAP
Gettelman, A. (2020), Simulating Observations of Southern Ocean Clouds and Implications for Climate, J. Geophys. Res., doi:10.1029/2020JD032619 (submitted). MAP
Li, F., and P. Newman (2020), Stratospheric water vapor feedback and its climate impacts in the coupled atmosphere-ocean Goddard Earth Observing System Chemistry‑Climate Model, Clim. Dyn., 13, 13, doi:10.1007/s00382-020-05348-6. MAP, ACMAP
Matheou, G., A. B. Davis, and J. Teixeira (2020), The Spiderweb Structure of Stratocumulus Clouds, Atmosphere, 11, 730, doi:10.3390/atmos11070730. MAP, RSP
Nguyen, N. H., et al. (2020), Effects of Chemical Feedbacks on Decadal Methane Emissions Estimates, Geophys. Res. Lett., 47, 1-13, doi:10.1029/2019GL085706. MAP, , ACMAP
Nicely, J., et al. (2020), A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1, Atmos. Chem. Phys., 20, 1341-1361, doi:10.5194/acp-20-1341-2020. MAP
Pan, X., et al. (2020), Six global biomass burning emission datasets: intercomparison and application in one global aerosol model, Atmos. Chem. Phys., 20, 969-994, doi:10.5194/acp-20-969-2020. MAP, TCP
Pu, B., et al. (2020), Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land–atmosphere model (GFDL AM4.0/LM4.0), Atmos. Chem. Phys., 20, 55-81, doi:10.5194/acp-20-55-2020. MAP, ACMAP
Shen, L., et al. (2020), An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0, Geosci. Model. Dev., 13, 2475-2486, doi:10.5194/gmd-13-2475-2020. MAP
Silber, I., et al. (2020), Nonturbulent Liquid‐Bearing Polar Clouds: Observed Frequency of Occurrence and Simulated Sensitivity to Gravity Waves, Geophys. Res. Lett.. MAP
Strode, S., et al. (2020), Strong sensitivity of the isotopic composition of methane to the plausible range of tropospheric chlorine, Atmos. Chem. Phys., 20, 8405-8419, doi:10.5194/acp-20-8405-2020. MAP
Zhuang, J., et al. (2020), Enabling High‐Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS‐Chem Atmospheric Chemistry Model, J. Adv. Modeling Earth Syst., 12, doi:10.1029/2020MS002064. MAP, ACMAP
CSV