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Marshak, A., J. Herman, A. Szabo, K. Blank, A. Cede, S. Carn, I. Geogdzhaev, D. Huang, L.-K. Huang, Y. Knyazikhin, M. Kowalewski, N. Krotkov, A. Lyapustin, R. McPeters, K. Meyer, O. Torres and Y. Yang, 2018. Earth Observations from DSCOVR/EPIC Instrument. Bulletin Amer. Meteor. Soc. (BAMS), https://doi.org/10.1175/BAMS-D-17-0223.1, pp 1829-1850, 2018.
Marshak, A., T. Varnai and A. Kostinski, 2017. Terrestrial glint seen from deep space: oriented ice crystals detected from the Lagrangian point. Geoph. Res. Lett., 44, doi:10.1002/2017GL073248.
Marshak, A. and Y. Knyazikhin, 2017: The spectral invariant approximation within canopy radiative transfer to support the use of the EPIC/DSCOVR oxygen B-band for monitoring vegetation. J. Quant. Spectrosc. Radiat. Trans., 191, 7-12, doi:10.1016/j.jqsrt.2017.01.015.
Meyer, K., Y. Yang, and S. Platnick, 2016: Uncertainties in cloud phase and optical thickness retrievals from the Earth Polychromatic Imaging Camera (EPIC), Atmos. Meas. Tech., 9, 1785-1797, doi:10.5194/amt-9-1785-2016.
Molina García, V., S. Sasi , D.S. Efremenko and D. Loyola, 2019. Improvement of EPIC/DSCOVR Image Registration by Means of Automatic Coastline Detection. Remote Sensing, 11(15), 1747. https://doi.org/10.3390/rs11151747
Molina García, V., S. Sasi, D.S. Efremenko, A. Doicu, and D. Loyola, 2018. Radiative transfer models for retrieval of cloud parameters from EPIC/DSCOVR measurements. J. Quant. Spectrosc. Radiat. Transf., 123 228–240. doi:10.1016/j.jqsrt.2018.03.014
Molina García, V., S. Sasi, D.S. Efremenko, A. Doicu, and D. Loyola, 2018. Radiative transfer models for retrieval of cloud parameters from EPIC/DSCOVR measurements. J. Quant. Spectrosc. Radiat. Transf., 123 228–240. doi:10.1016/j.jqsrt.2018.03.014
Song, W., Y. Knyazikhin, G. Wen, A. Marshak, M. Mõttus, G. Yan, B. Yang, B. Xu, T. Park, C. Chen, Y. Zeng, G. Yan, X. Mu and R. Myneni, 2018. Implications of Whole-Disc DSCOVR EPIC Spectral Observations for Estimating Earth’s Spectral Reflectivity Based on Low-Earth-Orbiting and Geostationary Observations. Remote Sens., 2018, 10, 1594, doi:10.3390/rs10101594. Direct Download.
Su, W., L. Liang, D. R. Doelling, P. Minnis, D. P. Duda, K. V. Khlopenkov, M.M. Thieman, N.G. Loeb, S. Kato, F. P. J. Valero, H. Wang, and F. G. Rose, 2018. Determining the shortwave radiative flux from Earth polychromatic imaging camera. J. Geophys. Res., 123, https://doi.org/10.1029/2018JD029390
Xu, X., J. Wang, Y. Wang, J. Zeng, O. Torres, Y. Yang, A. Marshak, J. Reid, and S. Miller (2017), Passive remote sensing of altitude and optical depth of dust plumes using the oxygen A and B bands: First results from EPIC/DSCOVR at Lagrange-1 point, Geophys. Res. Lett., 44, 7544–7554, doi:10.1002/2017GL073939
Yang, W., A. Marshak, T. Varnai and Y. Knyazikhin (2018). EPIC spectral observations of the variability in Earth's global reflectance. Remote Sens., 10(2), 254, https://www.mdpi.com/2072-4292/10/2/254.
Yang, Y., K. Meyer, G. Wind, Y. Zhou, A. Marshak, S. Platnick, Q. Min, A.B. Davis, J. Joiner, A. Vasilkov, D. Duda, and W. Su, 2019: Cloud Products from the Earth Polychromatic Imaging Camera (EPIC) observations: algorithm description and initial evaluation, Atmos. Meas. Tech., 12, 2019-2031, [1]https://doi.org/10.5194/amt-12-2019-2019.
Yang, B., Knyazikhin, Y., Mõttus, M., Rautiainen, M., Stenberg, P., Yan, L., Chen, C., Yan, K., Choi, S., Park, T., & Myneni, R.B. (2017). Estimation of leaf area index and its sunlit portion from DSCOVR EPIC data: Theoretical basis. Remote Sensing of Environment, 198, 69-84. doi:10.1016/j.rse.2017.05.033
Yang, Y., A. Marshak, J. Mao, A. Lyapustin, J. Herman, 2013: A Method of Retrieving Cloud Top Height and Cloud Geometrical Thickness with Oxygen A and B bands for the Deep Space Climate Observatory (DSCOVR) Mission: Radiative Transfer Simulations. J. Quant. Spectrosc. Radiat. Trans.,122, 141-149, doi:10.1016/j.jqsrt.2012.09.017.