SG Publications
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 |
|---|
| Ye, H., A.E. Dessler, and W. Yu (2018), Effects of convective ice evaporation on interannual variability of tropical tropopause layer water vapor, Atmos. Chem. Phys., 18, 4425-4437, doi:10.5194/acp-18-4425-2018. |
| Yin, S., X. Wang, H. Tani, X. Zhang, G. Zhong, Z. Sun, and A.R. Chittenden (2018), Analyzing temporo-spatial changes and the distribution of the CO2 T concentration in Australia from 2009 to 2016 by greenhouse gas monitoring satellites, Atmos. Environ., 192, 1-12, doi:10.1016/j.atmosenv.2018.08.043. |
| Yost, C.R., K.M. Bedka, P. Minnis, L. Nguyen, J.W. Strapp, R. Palikonda, K. Khlopenkov, D. Spangenberg, W.L. Smith, A. Protat, and J. Delanoe (2018), A prototype method for diagnosing high ice water content probability using satellite imager data, Atmos. Meas. Tech., 11, 1615-1637, doi:10.5194/amt-11-1615-2018. |
| Yu, F., A.A. Nair, and G. Luo (2018), Long-Term Trend of Gaseous Ammonia Over the United States: Modeling and Comparison With Observations, J. Geophys. Res., 123, 8315-8325, doi:10.1029/2018JD028412. |
| Yu, K., C.A. Keller, D.J. Jacob, A.M. Molod, S.D. Eastham, and M.S. Long (2018), Errors and improvements in the use of archived meteorological data for chemical transport modeling: an analysis using GEOS-Chem v11-01 driven by GEOS-5 meteorology, Geosci. Model. Dev., 11, 305-319, doi:10.5194/gmd-11-305-2018. |
| Yurkin, M.A., and M.I. Mishchenko (2018), Addendum to “Impressed sources and fields in the volume-integral-equation formulation of electromagnetic scattering by a finite object: A tutorial” [J. Quant. Spectrosc. Radiat. Transfer 214 (2018) 158–167], J. Quant. Spectrosc. Radiat. Transfer, 219, 105-107, doi:10.1016/j.jqsrt.2018.08.007. |
| Yurkin, M.A., and M.I. Mishchenko (2018), Volume integral equation for electromagnetic scattering: Rigorous derivation and analysis for a set of multilayered particles with piecewise-smooth boundaries in a passive host medium, Physical Review A, 97, 43824, doi:10.1103/PhysRevA.97.043824. |
| Zamora, L.M., R.A. Kahn, K.B. Huebert, A. Stohl, and S. Eckhardt (2018), A satellite-based estimate of combustion aerosol cloud microphysical effects over the Arctic Ocean, Atmos. Chem. Phys., 18, 14949-14964, doi:10.5194/acp-18-14949-2018. |
| Zeng, Z.-C., V. Natraj, F. Xu, T.J. Pongetti, R.-L. Shia, E.A. Kort, G.C. Toon, S.P. Sander, and Y.L. Yung (2018), Constraining Aerosol Vertical Profile in the Boundary Layer Using Hyperspectral Measurements of Oxygen Absorption, Geophys. Res. Lett., 45, doi:10.1029/2018GL079286. |
| Zhai, P.-W., et al. (2018), Water-leaving contribution to polarized radiation field over ocean , Optics Express, 25, A689-A708, doi:10.1364/OE.25.00A689. |
| Zhan, Y., L. Di Girolamo, R. Davies, and C. Moroney (2018), Instantaneous top-of-atmosphere albedo comparison between CERES and MISR over the Arctic, Remote Sens., 10, 1882, doi:10.3390/rs10121882. |
| Zhang, L., et al. (2018), A novel hyperspectral lunar irradiance model based on ROLO and mean equigonal albedo , Optik - International Journal for Light and Electron Optics, 142, 657-664, doi:10.1016/j.ijleo.2017.06.007. |
| Zhang, R., Y. Wang, C. Smeltzer, H. Qu, W. Koshak, and K.F. Boersma (2018), Comparing OMI-based and EPA AQS in situ NO2 trends: towards understanding surface NOx emission changes, Atmos. Meas. Tech., 11, 3955-3967, doi:10.5194/amt-11-3955-2018. |
| Zhang, Y., J. Joiner, S.H. Alemohammad, S. Zhou, and P. Gentine (2018), A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks, Biogeosciences, 15, 5779-5800, doi:10.5194/bg-15-5779-2018. |
| Zhang, Y., Y. Wang, J. Crawford, Y. Cheng, and J. Li (2018), Improve observation-based ground-level ozone spatial distribution by T compositing satellite and surface observations: A simulation experiment, Atmos. Environ., 180, 226-233, doi:10.1016/j.atmosenv.2018.02.044. |
| Zhang, Y., D.J. Jacob, J.D. Maasakkers, M.P. Sulprizio, J.-X. Sheng, R. Gautam, and J. Worden (2018), Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane, Atmos. Chem. Phys., 18, 15959-15973, doi:10.5194/acp-18-15959-2018. |
| Zhao, D., C. Qu, X. Shan, R. Bürgmann, W. Gong, and G. Zhang (2018), Spatiotemporal Evolution of Postseismic Deformation Following the 2001 Mw7.8 Kokoxili, China, Earthquake from 7 Years of Insar Observations, doi:10.3390/rs10121988. |
| Zhao, X., Y. Liu, F. Yu, and A.K. Heidinger (2018), Using Long-Term Satellite Observations to Identify Sensitive Regimes and Active Regions of Aerosol Indirect Effects for Liquid Clouds Over Global Oceans, J. Geophys. Res., 123, 457-472, doi:10.1002/2017JD027187. |
| Zhou, D.K., A.M. Larar, and X. Liu (2018), Evaluation of soil moisture estimated from IASI measurements, Proc. SPIE, 10783, 107831T, doi:10.1117/12.2323196. |
| Zhou, D.K., A.M. Larar, and X. Liu (2018), On the relationship between land surface infrared emissivity and soil moisture, J. Appl. Remote Sens., 12, 016030, doi:10.1117/1.JRS.12.016030. |
