Publications


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.

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.

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.

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, 1-18, https://avdc.gsfc.nasa.gov/pub/DSCOVR/JayHerman/.

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.

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 (in print).

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.

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, 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.