Publications


Carlson, B.E., A.A. Lacis, C.M. Colose, A. Marshak, W. Su, and S. Lorentz, 2019. Spectral signature of the biosphere: NISTAR finds it in our solar system from the Lagrangian L-1 point. Geoph. Res. Lett., https://doi.org/10.1029/2019GL083736.

Carn, S.A., N.A. Krotkov, B.L. Fisher, C. Li, and A.J. Prata, 2018. First observations of volcanic eruption clouds from the L1 Earth-Sun Lagrange point by DSCOVR/EPIC, Geophys. Res. Lett., https://doi.org/10.1029/2018GL079808.

Carn, S.A., L. Clarisse and A.J. Prata (2016), Multi-decadal satellite measurements of global volcanic degassing, J. Volcanol. Geotherm. Res., 311, 99-134, doi:10.1016/j.jvolgeores.2016.01.002.

Carn, S.A. and N.A. Krotkov (2016), UV Satellite Measurements of Volcanic Ash, In: S. Mackie, K. Cashman, H. Ricketts A. Rust, and I.M. Watson (eds.), Volcanic Ash: Hazard Observation, Elsevier, pp. 217-231, doi:10.1016/B978-0-08-100405-0.00018-5.

Carn, S.A. (2016), On the detection and monitoring of effusive eruptions using satellite SO2 measurements, In: Harris, A.J.L., T. de Groeve, F. Garel and S.A. Carn (editors),Detecting, Modeling and Responding to Effusive Eruptions, Geological Society of London, Special Publications, 426, doi:10.1144/SP426.28.

Christian K., J. Wang, C. Ge, D. Peterson, E. Hyer, J. Yorks, and M. McGill. 2019. Radiative forcing and stratospheric warming of pyrocumulonimbus smoke aerosols: first modeling results with multi‐sensor (EPIC, CALIPSO, CATS) views from space, Geoph. Res. Lett., DOI: 10.1029/2019GL082360

Davis A., N. Ferlay, Q. Libois, A. Marshak, Y. Yang and Q. Min, 2018. Cloud information content in EPIC/DSCOVR's oxygen A- and B-band channels: A physics-based approach. J. Quant. Spectrosc. Radiat. Transfer, 220, 84–96, doi:10.1016/j.jqsrt.2018.09.006.

Davis A., G. Merlin, L. Labonnote, J. Riedi, C. Cornet, P. Dubuisson, N. Ferlay, Q. Min, Y. Yang and A. Marshak, 2018. Cloud information content in EPIC/DSCOVR's oxygen A- and B-band channels: An optimal estimation approach. J. Quant. Spectrosc. Radiat. Transfer, 216, 6–16, doi:10.1016/j.jqsrt.2018.05.007.

Doelling, D., C. Haney, R. Bhatt, B. Scarino, A. Gopalan (2019). The Inter-Calibration of the DSCOVR EPIC Imager with Aqua-MODIS and NPP-VIIRS, Remote Sens. 2019, 11,1609; doi:10.3390/rs11131609

Gao, B.-C., R.-R. Li, and Y. Yang. 2019. Remote Sensing of Daytime Water Leaving Reflectances of Oceans and Large Inland Lakes from EPIC onboard the DSCOVR Spacecraft at Lagrange-1 Point. Sensors, 19 (5), 1243 [10.3390/s19051243]

Gao, M. (616/SSAI), Zhai, P., Yang, Y. (613), Hu, Y. (NASA LaRC), 2019: "Cloud remote sensing with EPIC/DSCOVR observations: a sensitivity study with radiative transfer simulations," Journal of Quantitative Spectroscopy and Radiative Transfer, 230 (2019), 56-60, https://doi.org/10.1016/j.jqsrt.2019.03.022

Geogdzhayev, I.V. and A. Marshak, (2018). Calibration of the DSCOVR EPIC visible and NIR channels using MODIS and EPIC lunar observations, Atmos. Meas. Tech., https://doi.org/10.5194/amt-2017-222.

Hao, D., G.R. Asrar, Y. Zeng, Q. Zhu, J. Wen, Q. Xiao, and M. Chen, 2019. Estimating hourly land surface downward shortwave and photosynthetically active radiation from DSCOVR/EPIC observations. Remote Sensing of Environment, 232, 111320. doi: 10.1016/j.rse.2019.111320

Herman J., G. Wen, A. Marshak, K. Blank, L. Huang, A. Cede, N. Abuhassan, and M. Kowalewski, 2018. Reduction in Earth Reflected Irradiance during the Eclipse of 21 August 2017. Atmos. Meas. Tech., 11, 4373-4388, https://doi.org/10.5194/amt-11-4373-2018.

Herman, J.R., L. Huang, R.D. McPeters, J. Ziemke, A. Cede, and K. Blank (2018). Synoptic ozone, cloud reflectivity, and erythemal irradiance from sunrise to sunset for the whole Earth as viewed by DSCOVR spacecraft from the earth-sun Lagrange-1, Atmos. Meas. Tech., 11, 177-194, https://www.atmos-meas-tech.net/11/177/2018/amt-11-177-2018.pdf

Holdaway, D. and Y. Yang, 2016: Study of the Effect of Temporal Sampling Frequency on DSCOVR Observations Using the GEOS-5 Nature Run Results (Part II): Cloud Coverage. Remote Sens., 8(5), 431, doi:10.3390/rs8050431.

Holdaway, D. and Y. Yang, 2016: Study of the Effect of Temporal Sampling Frequency on DSCOVR Observations Using the GEOS-5 Nature Run Results (Part I): Earth’s Radiation Budget. Remote Sens. 2016, 8(2), 98; doi:10.3390/rs8020098.

Jiang, J.H., A.J. Zhai, J. Herman, C. Zhai, R. Hu, H. Su, V. Natraj, J. Li, F. Xu and Y.L. Yung, 2018: Using Deep Space Climate Observatory Measurements to Study the Earth as an Exoplanet. The Astron. J., 156:26, http://iopscience.iop.org/article/10.3847/1538-3881/aac6e2.

Li, J.-Z., S. Fan, P. Kopparla, C. Liu, J. Jiang, V. Natraj, and Y. Yung, 2019. Study of terrestrial glints based on DSCOVR observations. Earth and Space Sci., 10.1029/2018EA000509.

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), 9, 1829-1850, https://doi.org/10.1175/BAMS-D-17-0223.1.

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. Linearized radiative transfer models for retrieval of cloud parameters from EPIC/DSCOVR measurements. J. Quant. Spectrosc. Radiat. Transf., 213, 241–251. https://doi.org/10.1016/j.jqsrt.2018.03.008

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.

Varnai, T., A. Kostinski, and A. Marshak, 2019. Deep space observations of sun glints from marine ice clouds. IEEE Remote Sens. Lett., doi: 10.1109/LGRS.2019.2930866.

Wen G., A. Marshak, W. Song, Y. Knyazikhin, M. Mõttus, and D. Wu, 2019. A relationship between blue and near-IR global spectral reflectance and the response of global average reflectance to change in cloud cover observed from EPIC on DSCOVR. Earth and Space Science, 6. https://doi.org/10.1029/2019EA000664.

Xu, X., J. Wang, Y. Wang, J. Zeng, O. Torres, J. Reid, S. Miller, J.V. Martins, and L. Remer (2019), Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space, Atmos. Meas. Tech., 12, 3269–3288, 2019, https://doi.org/10.5194/amt-12-3269-2019

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.