Daniel J Miller

Daniel J Miller

  • NASA POSTDOCTORAL FELLOW
  • 301.286.0287
  • NASA/GSFC
  • Mail Code: 613
  • Greenbelt , MD 20771
  • Employer: UNIVERSITY OF MARYLAND BALTIMORE COUNTY
  • Brief Bio

    Dan obtained his bachelors in Physics from Michigan Technological University (MTU) in 2011. A rewarding undergraduate research experience at MTU working in Raymond Shaw’s experimental cloud physics lab he decided to pursue a PhD in atmospheric physics. In 2017, he went on to obtain his PhD in Atmospheric Physics from the University of Maryland, Baltimore County (UMBC) working in Zhibo Zhang’s cloud and aerosol remote sensing group. Since then he has been a NASA Postdoctoral Fellow working on polarized remote sensing of clouds and aerosols - a position in both the Climate and Radiation Lab and the Ocean Ecology Lab with research that was intended to overlap with the future NASA Plankton, Aerosols, Clouds, and Ecosystems (PACE) mission. Dan’s research focuses on the simulation of shortwave passive remote sensing clouds and the impact that realistic spatial and microphysical inhomogeneity has on retrievals of cloud properties.

    Positions/Employment

    12/2019 - Present

    Associate Research Scientist

    UMBC Joint Center for Earth Systems Technology, NASA Goddard Spaceflight Center
    11/2017 - 12/2019

    NASA Postdoctoral Program Fellow

    Universities Space Research Association, NASA Goddard Spaceflight Center
    8/2013 - 11/2017

    Research Assistant

    Joint Center for Earth Systems Technology, UMBC, Physics Department
    8/2008 - 5/2011

    Undergraduate Teaching and Research Assistant

    Physics Department, Michigan Technological University
    8/2011 - 8/2012

    Teaching Assistant

    Physics Department, UMBC

    Education

    Ph.D., Atmospheric Physics, UMBC, Baltimore, MD. Dissertation title: “Satellite simulator studies of the impact of cloud inhomogeneity on passive cloud remote sensing retrievals,” 2017.

    M.S., Atmospheric Physics, UMBC, Baltimore, MD, 2013.

    B.S., Physics, Michigan Technological University, Houghton, MI, 2011.

    Publications

    Refereed

    Alexandrov, M. D., D. J. Miller, C. Rajapakshe, et al. A. Fridlind, B. van Diedenhoven, B. Cairns, A. S. Ackerman, and Z. Zhang. 2020. "Vertical profiles of droplet size distributions derived from cloud-side observations by the research scanning polarimeter: Tests on simulated data." Atmospheric Research, 239: 104924 [10.1016/j.atmosres.2020.104924]

    Miller, D. J., M. Segal-Rozenhaimer, K. Knobelspiesse, et al. 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." Atmospheric Measurement Techniques, 13: 3447-3470 [10.5194/amt-13-3447-2020]

    Segal-Rozenhaimer, M., D. J. Miller, K. Knobelspiesse, et al. J. Redemann, B. Cairns, and M. D. Alexandrov. 2018. "Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations." Journal of Quantitative Spectroscopy and Radiative Transfer, 220: 39-51 [10.1016/j.jqsrt.2018.08.030]

    Werner, F., Z. Zhang, G. Wind, et al. D. J. Miller, S. Platnick, and L. Di Girolamo. 2018. "Improving cloud optical property retrievals for partly cloudy pixels using coincident higher-resolution single band measurements: A feasibility study using ASTER observations." Journal of Geophysical Research: Atmospheres, [10.1029/2018jd028902]

    Miller, D. J., Z. Zhang, S. Platnick, et al. A. S. Ackerman, F. Werner, C. Cornet, and K. Knobelspiesse. 2018. "Comparisons of bispectral and polarimetric retrievals of marine boundary layer cloud microphysics: case studies using a LES–satellite retrieval simulator." Atmospheric Measurement Techniques, 11 (6): 3689-3715 [10.5194/amt-11-3689-2018]

    Werner, F., Z. Zhang, G. Wind, D. J. Miller, and S. Platnick. 2018. "Quantifying the Impacts of Subpixel Reflectance Variability on Cloud Optical Thickness and Effective Radius Retrievals Based On High-Resolution ASTER Observations." Journal of Geophysical Research: Atmospheres, 123 (8): 4239-4258 [10.1002/2017jd027916]

    Miller, D. J., Z. Zhang, A. S. Ackerman, S. Platnick, and B. A. Baum. 2016. "The impact of cloud vertical profile on liquid water path retrieval based on the bispectral method: A theoretical study based on large-eddy simulations of shallow marine boundary layer clouds." Journal of Geophysical Research: Atmospheres, 121 (8): 4122-4141 [10.1002/2015jd024322]

    Brief Bio

    Dan obtained his bachelors in Physics from Michigan Technological University (MTU) in 2011. A rewarding undergraduate research experience at MTU working in Raymond Shaw’s experimental cloud physics lab he decided to pursue a PhD in atmospheric physics. In 2017, he went on to obtain his PhD in Atmospheric Physics from the University of Maryland, Baltimore County (UMBC) working in Zhibo Zhang’s cloud and aerosol remote sensing group. Since then he has been a NASA Postdoctoral Fellow working on polarized remote sensing of clouds and aerosols - a position in both the Climate and Radiation Lab and the Ocean Ecology Lab with research that was intended to overlap with the future NASA Plankton, Aerosols, Clouds, and Ecosystems (PACE) mission. Dan’s research focuses on the simulation of shortwave passive remote sensing clouds and the impact that realistic spatial and microphysical inhomogeneity has on retrievals of cloud properties.

    Publications

    Refereed

    Alexandrov, M. D., D. J. Miller, C. Rajapakshe, et al. A. Fridlind, B. van Diedenhoven, B. Cairns, A. S. Ackerman, and Z. Zhang. 2020. "Vertical profiles of droplet size distributions derived from cloud-side observations by the research scanning polarimeter: Tests on simulated data." Atmospheric Research 239 104924 [10.1016/j.atmosres.2020.104924]

    Miller, D. J., M. Segal-Rozenhaimer, K. Knobelspiesse, et al. 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." Atmospheric Measurement Techniques 13 3447-3470 [10.5194/amt-13-3447-2020]

    Segal-Rozenhaimer, M., D. J. Miller, K. Knobelspiesse, et al. J. Redemann, B. Cairns, and M. D. Alexandrov. 2018. "Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations." Journal of Quantitative Spectroscopy and Radiative Transfer 220 39-51 [10.1016/j.jqsrt.2018.08.030]

    Werner, F., Z. Zhang, G. Wind, et al. D. J. Miller, S. Platnick, and L. Di Girolamo. 2018. "Improving cloud optical property retrievals for partly cloudy pixels using coincident higher-resolution single band measurements: A feasibility study using ASTER observations." Journal of Geophysical Research: Atmospheres [10.1029/2018jd028902]

    Miller, D. J., Z. Zhang, S. Platnick, et al. A. S. Ackerman, F. Werner, C. Cornet, and K. Knobelspiesse. 2018. "Comparisons of bispectral and polarimetric retrievals of marine boundary layer cloud microphysics: case studies using a LES–satellite retrieval simulator." Atmospheric Measurement Techniques 11 (6): 3689-3715 [10.5194/amt-11-3689-2018]

    Werner, F., Z. Zhang, G. Wind, D. J. Miller, and S. Platnick. 2018. "Quantifying the Impacts of Subpixel Reflectance Variability on Cloud Optical Thickness and Effective Radius Retrievals Based On High-Resolution ASTER Observations." Journal of Geophysical Research: Atmospheres 123 (8): 4239-4258 [10.1002/2017jd027916]

    Miller, D. J., Z. Zhang, A. S. Ackerman, S. Platnick, and B. A. Baum. 2016. "The impact of cloud vertical profile on liquid water path retrieval based on the bispectral method: A theoretical study based on large-eddy simulations of shallow marine boundary layer clouds." Journal of Geophysical Research: Atmospheres 121 (8): 4122-4141 [10.1002/2015jd024322]

                                                                                                                                                                                            
    NASA Logo, National Aeronautics and Space Administration