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 |
|---|
| McGill, M.J., and J.E. Yorks (2020), Observation and quantification of westerly outflow from southern Africa using spaceborne lidar, S Afr J Sci., 116, 6398-6404, doi:10.17159/sajs.2020/6398. |
| Melgar, D.&., and Hayes (2020), G. P. (2019). The correlation lengths and hypocentral positions of great earthquakes, Bulletin of the Seismological Society of America, 109, 2582-2593, doi:10.1785/0120190164. |
| Melgar, D., B.W. Crowell, T.I. Melbourne, W. Szeliga, M. Santillan, and C. Scrivner (2020), Noise Characteristics of Operational Real‐Time High‐Rate GNSS Positions in a Large Aperture Network, J. Geophys. Res., 125, 1, doi:10.1029/2019JB019197. |
| Midzak, N., J.E. Yorks, J. Zhang, B. Van Diedenhoven, D. Sarah Woods, and M. Mcgill (2020), A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC4RS Campaign, J. Atmos. Oceanic Technol., 37, 2185-2196, doi:10.1175/JTECH-D-20-0037.1. |
| Miller, D.J., M. Segal-Rozenhaimer, K. Knobelspiesse, J. Redemann, B. Cairns, M. Alexandrov, B. van Diedenhoven, and A. Wasilewski (2020), Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm, Atmos. Meas. Tech., 13, 3447-3470, doi:10.5194/amt-13-3447-2020. |
| Miller, S.M., and A.M. Michalak (2020), The impact of improved satellite retrievals on estimates of biospheric carbon balance, Atmos. Chem. Phys., 20, 323-331, doi:10.5194/acp-20-323-2020. |
| Milliner, C., and A. Donnellan (2020), Using Daily Observations from Planet Labs Satellite Imagery to Separate the Surface Deformation between the 4 July Mw 6.4 Foreshock and 5 July Mw 7.1 Mainshock during the 2019 Ridgecrest Earthquake Sequence Chris Milliner*1 and Andrea Donnellan1, Seismol. Res. Lett., 91, 1986-1997, doi:10.1785/0220190271. |
| Milliner, C., R. Bürgmann, A. Inbal, T. Wang, and C. Liang (2020), Resolving the Kinematics and Moment Release of Early Afterslip Within the First Hours Following the 2016 Mw 7.1 Kumamoto Earthquake: Implications for the Shallow Slip Deficit and Frictional Behavior of Aseismic Creep, J. Geophys. Res., 125, e2019JB018928, doi:10.1029/2019JB018928. |
| Mishchenko, M.I. (2020), Comprehensive thematic T-matrix reference database: a 2017–2019 update, J. Quant. Spectrosc. Radiat. Transfer, 242, 106692, doi:10.1016/j.jqsrt.2019.106692. |
| Mishchenko, M.I., and M.A. Yurkin (2020), Co- and counter-propagating wave effects in an absorbing medium, J. Quant. Spectrosc. Radiat. Transfer, 242, 106688, doi:10.1016/j.jqsrt.2019.106688. |
| Miyazaki, K., K. Bowman, T. Sekiya, H. Eskes, F. Boersma, H. Worden, N. Livesey, V.H. Payne, K. Sudo, Y. Kanaya, M. Takigawa, and K. Ogochi (2020), Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018, Earth Syst. Sci. Data, 12, 2223-2259, doi:10.5194/essd-12-2223-2020. |
| Molan, Y.E., and Z. Lu (2020), Modeling InSAR Phase and SAR Intensity Changes Induced by Soil Moisture, IEEE Trans. Geosci. Remote Sens., 1-9, doi:10.1109/TGRS.2020.2970841. |
| Molan, Y.E., and Z. Lu (2020), Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes?, Remote Sensing, doi:10.3390/rs12091511. |
| Molan, Y.E., Z. Lu, and J.-W. Kim (2020), Influence of the Statistical Properties of Phase and Intensity on Closure Phase, IEEE Trans. Geosci. Remote Sens., 58, doi:10.1109/TGRS.2020.2982062. |
| Murray, K.D., R.B. Lohman, and D.P.S. Bekaert (2020), Cluster-Based Empirical Tropospheric Corrections Applied to InSAR Time Series Analysis., IEEE Trans. Geosci. Remote Sens.. |
| Nair, A.A., and F. Yu (2020), Using machine learning to derive cloud condensation nuclei number concentrations from commonly available measurements, Atmos. Chem. Phys., doi:10.5194/acp-2020-509. |
| Nalli, N.R., C. Tan, J. Warner, M. Divakarla, A. Gambacorta, M. Wilson, T. Zhu, T. Wang, Z. Wei, K. Pryor, S. Kalluri, L. Zhou, C. Sweeney, B.C. Baier, K. McKain, D. Wunch, N.M. Deutscher, F. Hase, L.T. Iraci, R. Kivi, I. Morino, J. Notholt, H. Ohyama, D.F. Pollard, Y. Té, V.A. Velazco, T. Warneke, R. Sussmann, and M. Rettinger (2020), Validation of Carbon Trace Gas Profile Retrievals from the NOAA-Unique Combined Atmospheric Processing System for the Cross-Track Infrared Sounder, Remote Sens., 12, doi:10.3390/rs12193245. |
| Naud, C.M., J. Jeyaratnam, J.F. Booth, M. Zhao, and A. Gettelman (2020), Evaluation of Modeled Precipitation in Oceanic Extratropical Cyclones Using IMERG, J. Climate, 33, 95-113, doi:10.1175/JCLI-D-19-0369.1. |
| Nault, B.A., P. Campuzano-Jost, D.A. Day, H. Guo, D.S. Jo, A.V. Handschy, D. Pagonis, J.C. Schroder, M.K. Schueneman, M.J. Cubison, J.E. Dibb, A. Hodzic, W. Hu, B.B. Palm, and J.L. Jimenez (2020), Interferences with aerosol acidity quantification due to gas-phase ammonia uptake onto acidic sulfate filter samples, Atmos. Meas. Tech., 13, 6193-6213, doi:10.5194/amt-13-6193-2020. |
| Nedoluha, G.E., R.M. Gomez, I. Boyd, H. Neal, A. Parrish, and B. Connor (2020), Initial results and diurnal variations measured by a new microwave stratospheric ClO instrument at Mauna Kea, J. Geophys. Res., 125, e2020JD033097, doi:10.1029/2020JD033097. |
