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)
Somkuti, P., et al. (2017), Application of a PCA-based Fast Radiative Transfer Model to XCO2 Retrievals in the Shortwave Infrared, J. Geophys. Res., doi:10.1002/2017JD027013 (submitted).
Sorooshian, A., et al. (2017), Contrasting aerosol refractive index and hygroscopicity in the inflow and outflow of deep convective storms: Analysis of airborne data from DC3, J. Geophys. Res., 122, 4565-4577, doi:10.1002/2017JD026638. TCP
St. Clair, J. M., et al. (2017), A new non-resonant laser-induced fluorescence instrument for the airborne in situ measurement of formaldehyde, Atmos. Meas. Tech., 10, 4833-4844, doi:10.5194/amt-10-4833-2017. UARP
Stauffer, R. M., et al. (2017), Tropospheric ozonesonde profiles at long-term U.S. monitoring sites: 2. Links between Trinidad Head, CA, profile clusters and inland surface ozone measurements, J. Geophys. Res., 122, 1261-1280, doi:10.1002/2016JD025254. UARP
Steinbrecht, W., et al. (2017), An update on ozone profile trends for the period 2000 to 2016, Atmos. Chem. Phys., 17, 10675-10690, doi:10.5194/acp-17-10675-2017. ASP, UARP
Stockton, S. A. M., et al. (2017), FIELD EXPLORATION AND LIFE DETECTION SAMPLING THROUGH PLANETARY ANALOGUE, Icarus.
Stolz, D. C., et al. (2017), A global lightning parameterization based on statistical relationships among environmental factors, aerosols, and convective clouds in the TRMM climatology, J. Geophys. Res., 122, 7461-7492, doi:10.1002/2016JD026220.
Su, H., et al. (2017), Tightening of tropical ascent and high clouds key to precipitation change in a warmer climate, Nature Communications, doi:10.1038/ncomms15771. EWCP, RSP
Su, Z., et al. (2017), Assessing accuracy and precision for space-based measurements of carbon dioxide: An associated statistical methodology revisited, Earth and Space Science, 4, 147-161, doi:10.1002/2016EA000228.
Suer, T., et al. (2017), FIRE - Flyby of Io with Repeat Encounters: A conceptual design for a New Frontiers mission to Io, Advances in Space Research, 60, 1080-1100, doi:10.1016/j.asr.2017.05.019.
Sun-Mack, S., et al. (2017), Detection of Single and Multilayer Clouds in an Artificial Neural Network Approach. Proc. SPIE Conf. Remote Sens. Clouds and the Atmos. XXII, Warsaw, Poland, 10424-7, 11-14, doi:10.1117/12.2277397. RSP
Sun, K., et al. (2017), Characterization of the OCO-2 instrument line shape functions using on-orbit solar measurements, Atmos. Meas. Tech., 10, 939-953, doi:10.5194/amt-10-939-2017.
Sun, K., et al. (2017), Deriving the slit functions from OMI solar observations and its implications for ozone-profile retrieval, Atmos. Meas. Tech., 10, 3677-3695, doi:10.5194/amt-10-3677-2017. , ACMAP
Sun, W., et al. (2017), Vol. 25, No. 15 | 24 Jul 2017 | OPTICS EXPRESS 17356 Fully transparent photon sieve, Optics Express, 25, 17356-17363. RSP
Sun, W., et al. (2017), Vol. 25, No. 15 | 24 Jul 2017 | OPTICS EXPRESS 17356 Fully transparent photon sieve, Optics Express, 25, 17356-17363. RSP
Sun, W., et al. (2017), A FDTD solution of scattering of laser beam with orbital angular momentum by dielectric particles: Far-field characteristics, J. Quant. Spectrosc. Radiat. Transfer, 188, 200-213, doi:10.1016/j.jqsrt.2016.02.006. RSP
Sun, Y., et al. (2017), R ES E A RC H | R E MO T E S E NS I NG, Science, 358, 189, doi:10.1126/science.aam5747.
Tadić, J. M., et al. (2017), Spatio-temporal approach to moving window block kriging of satellite data v1.0, Geosci. Model. Dev., 10, 709-720, doi:10.5194/gmd-10-709-2017. CCEP
Tadic, J. M., et al. (2017), Elliptic Cylinder Airborne Sampling and Geostatistical Mass Balance Approach for Quantifying Local Greenhouse Gas Emissions, Environ. Sci. Technol., 51, 10012-10021, doi:10.1021/acs.est.7b03100.
Tan, J., and L. Oreopoulos (2017), Evaluating rainfall errors in global climate models through cloud regimes Jackson Tan1,2   · Lazaros Oreopoulos1 · Christian Jakob3 · Daeho Jin1,2 , Clim. Dyn., 50, 3301-3314, doi:10.1007/s00382-017-3806-7). MAP, ADP

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