Yingxi Rona Shi

Yingxi Rona Shi

  • RESEARCH SCIENTIST
  • 301.614.5835
  • NASA/GSFC
  • Mail Code: 613
  • Greenbelt , MD 20771
  • Employer: UNIVERSITY OF MARYLAND BALTIMORE CO
  • Brief Bio

    As an atmospheric scientist, Dr. Shi's research is primarily concerned with observing the global aerosol distribution, determining its properties, and furthering our understanding of how aerosols affect the environment, air quality and climate. She is specifically most interested in advanced retrieval algorithms including machine learning (ML) for aerosol optical properties; synergistic aerosol products using multi-satellite platforms; application of satellite data for studies on wildfires; and long-range transport of pollutants and dust. Dr. Shi got her PhD in Dec. 2015 and joined GESTAR/USRA to work at NASA Goddard Space Flight Center (GSFC) Climate and Radiation Laboratory (Code 613) as a Post-doctoral Research Associate from 2016 to 2018, and then as an Assistant Research Scientist. She moved to Joint Center of Earth Technology (JCET)/University of Maryland Baltimore County (UMBC) at 2019 as an Assistant Research Scientist.

    Research Interests

    Aerosol remote sensing

    Aerosol impacts on climate and ecosystem

    Artificial Intelligence and its application on Earth observations.

    Positions/Employment

    6/2019 - 3/2023

    Assistant Researcher

    GEASTAR II / UMBC, B33 GSFC
    3/2023 - Present

    Associate Researcher

    GESTAR II UMBC / GSFC, B33

    Awards


    2020-2023 NASA New (Early Career) Investigator Program

    2020 Scientific Leadership Award, GSFC Climate and Radiation Laboratory

    2017 Scientific Leadership Award, GSFC Climate and Radiation Laboratory

    2016 Best Dissertation Award, Chinese-American Oceanic and Atmospheric Association (COAA)

    2010-2013 NASA Earth and Space Science Fellowship (NESSF)

    2010 Outstanding Student Paper Award, AGU 2010 Fall Meeting

    2009 Outstanding Graduate Researcher Award, University of North Dakota

    2000-2001 Academic Scholarship Recipient, Sun Yat-Sen University

     

    Selected Publications

    Refereed

    Zhou, Y., R. C. Levy, L. A. Remer, et al. S. Mattoo, Y. R. Shi, and C. Wang. 2020. "Dust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark‐Target Algorithm: 1. Dust Detection." Earth and Space Science, 7 (10): [10.1029/2020ea001221]

    Remer, L. A., R. C. Levy, S. Mattoo, et al. D. Tanré, P. Gupta, Y. Shi, V. Sawyer, L. A. Munchak, Y. Zhou, M. Kim, C. Ichoku, F. Patadia, R.-R. Li, S. Gassó, R. G. Kleidman, and B. N. Holben. 2020. "The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future." Remote Sensing, 12 (18): 2900 (In Press) [10.3390/rs12182900]

    Sawyer, V., R. C. Levy, S. Mattoo, et al. G. Cureton, Y. Shi, and L. A. Remer. 2020. "Continuing the MODIS Dark Target Aerosol Time Series with VIIRS." Remote Sensing, 12 (2): 308 [10.3390/rs12020308]

    Yu, H., Y. Yang, H. Wang, et al. Q. Tan, M. Chin, R. C. Levy, L. A. Remer, S. J. Smith, T. Yuan, and Y. Shi. 2020. "Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017." Atmospheric Chemistry and Physics, 20: 139-161 [10.5194/acp-20-139-2020]

    Westberry, T., Y. Shi, H. Yu, M. Behrenfeld, and L. Remer. 2019. "Satellite‐Detected Ocean Ecosystem Response to Volcanic Eruptions in the Subarctic Northeast Pacific Ocean." Geophysical Research Letters, 46: 2019GL083977 [10.1029/2019gl083977]

    Eck, T. F., B. N. Holben, D. M. Giles, et al. I. Slutsker, A. Sinyuk, J. S. Schafer, A. Smirnov, M. Sorokin, J. S. Reid, A. M. Sayer, N. C. Hsu, Y. R. Shi, R. C. Levy, A. Lyapustin, M. A. Rahman, S. Liew, S. V. Salinas Cortijo, T. Li, D. Kalbermatter, K. L. Keong, M. E. Yuggotomo, F. Aditya, M. Mohamad, M. Mahmud, T. K. Chong, H. Lim, Y. E. Choon, G. Deranadyan, S. D. Kusumaningtyas, and E. Aldrian. 2019. "AERONET Remotely Sensed Measurements and Retrievals of Biomass Burning Aerosol Optical Properties During the 2015 Indonesian Burning Season." Journal of Geophysical Research: Atmospheres, 124 (8): 4722-4740 [10.1029/2018jd030182]

    Shi, Y. R., R. C. Levy, T. F. Eck, et al. B. Fisher, S. Mattoo, L. A. Remer, I. Slutsker, and J. Zhang. 2019. "Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals." Atmospheric Chemistry and Physics, 19 (1): 259-274 [10.5194/acp-19-259-2019]

    Levy, R. C., S. Mattoo, V. Sawyer, et al. Y. Shi, P. R. Colarco, A. I. Lyapustin, Y. Wang, and L. A. Remer. 2018. "Exploring systematic offsets between aerosol products from the two MODIS sensors." Atmospheric Measurement Techniques, 11: 4073-4092 [https://doi.org/10.5194/amt-11-4073-2018]

    Lynch, P., J. S. Reid, D. L. Westphal, et al. J. Zhang, T. F. Hogan, E. J. Hyer, C. A. Curtis, D. A. Hegg, Y. Shi, J. R. Campbell, J. I. Rubin, W. R. Sessions, F. J. Turk, and A. L. Walker. 2016. "An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences." Geoscientific Model Development, 9 (4): 1489-1522 [10.5194/gmd-9-1489-2016]

    Shi, Y., J. Zhang, J. S. Reid, B. Liu, and E. J. Hyer. 2014. "Critical evaluation of cloud contamination in the MISR aerosol products using MODIS cloud mask products." Atmospheric Measurement Techniques, 7 (6): 1791-1801 [10.5194/amt-7-1791-2014]

    Shi, Y., J. Zhang, J. S. Reid, E. J. Hyer, and N.-Y. C. Hsu. 2013. "Critical evaluation of the MODIS Deep Blue aerosol optical depth product for data assimilation over North Africa." Atmos. Meas. Tech., 6 (4): 949-969 [10.5194/amt-6-949-2013]

    Toth, T., J. Zhang, J. R. Campbell, et al. J. S. Reid, Y. Shi, R. S. Johnson, A. Smirnov, M. A. Vaughan, and D. M. Winker. 2013. "Investigating enhanced Aqua MODIS aerosol optical depth retrievals over the mid-to-high latitude Southern Oceans through intercomparison with co-located CALIOP, MAN, and AERONET data sets." J. Geophys. Res. Atmos., 118 (10): 4700-4714 [10.1002/jgrd.50311]

    Shi, Y., J. Zhang, J. S. Reid, et al. B. Holben, E. J. Hyer, and C. Curtis. 2011. "An analysis of the collection 5 MODIS over-ocean aerosol optical depth product for its implication in aerosol assimilation." Atmospheric Chemistry and Physics, 11 (2): 557-565 [10.5194/acp-11-557-2011]

    Shi, Y., J. Zhang, J. S. Reid, et al. E. J. Hyer, T. F. Eck, B. N. Holben, and R. A. Kahn. 2011. "A critical examination of spatial biases between MODIS and MISR aerosol products – application for potential AERONET deployment." Atmos. Meas. Tech., 4 (12): 2823-2836 [10.5194/amt-4-2823-2011]

    Brief Bio

    As an atmospheric scientist, Dr. Shi's research is primarily concerned with observing the global aerosol distribution, determining its properties, and furthering our understanding of how aerosols affect the environment, air quality and climate. She is specifically most interested in advanced retrieval algorithms including machine learning (ML) for aerosol optical properties; synergistic aerosol products using multi-satellite platforms; application of satellite data for studies on wildfires; and long-range transport of pollutants and dust. Dr. Shi got her PhD in Dec. 2015 and joined GESTAR/USRA to work at NASA Goddard Space Flight Center (GSFC) Climate and Radiation Laboratory (Code 613) as a Post-doctoral Research Associate from 2016 to 2018, and then as an Assistant Research Scientist. She moved to Joint Center of Earth Technology (JCET)/University of Maryland Baltimore County (UMBC) at 2019 as an Assistant Research Scientist.

    Selected Publications

    Refereed

    Zhou, Y., R. C. Levy, L. A. Remer, et al. S. Mattoo, Y. R. Shi, and C. Wang. 2020. "Dust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark‐Target Algorithm: 1. Dust Detection." Earth and Space Science 7 (10): [10.1029/2020ea001221]

    Remer, L. A., R. C. Levy, S. Mattoo, et al. D. Tanré, P. Gupta, Y. Shi, V. Sawyer, L. A. Munchak, Y. Zhou, M. Kim, C. Ichoku, F. Patadia, R.-R. Li, S. Gassó, R. G. Kleidman, and B. N. Holben. 2020. "The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future." Remote Sensing (In Press) 12 (18): 2900 [10.3390/rs12182900]

    Sawyer, V., R. C. Levy, S. Mattoo, et al. G. Cureton, Y. Shi, and L. A. Remer. 2020. "Continuing the MODIS Dark Target Aerosol Time Series with VIIRS." Remote Sensing 12 (2): 308 [10.3390/rs12020308]

    Yu, H., Y. Yang, H. Wang, et al. Q. Tan, M. Chin, R. C. Levy, L. A. Remer, S. J. Smith, T. Yuan, and Y. Shi. 2020. "Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017." Atmospheric Chemistry and Physics 20 139-161 [10.5194/acp-20-139-2020]

    Westberry, T., Y. Shi, H. Yu, M. Behrenfeld, and L. Remer. 2019. "Satellite‐Detected Ocean Ecosystem Response to Volcanic Eruptions in the Subarctic Northeast Pacific Ocean." Geophysical Research Letters 46 2019GL083977 [10.1029/2019gl083977]

    Eck, T. F., B. N. Holben, D. M. Giles, et al. I. Slutsker, A. Sinyuk, J. S. Schafer, A. Smirnov, M. Sorokin, J. S. Reid, A. M. Sayer, N. C. Hsu, Y. R. Shi, R. C. Levy, A. Lyapustin, M. A. Rahman, S. Liew, S. V. Salinas Cortijo, T. Li, D. Kalbermatter, K. L. Keong, M. E. Yuggotomo, F. Aditya, M. Mohamad, M. Mahmud, T. K. Chong, H. Lim, Y. E. Choon, G. Deranadyan, S. D. Kusumaningtyas, and E. Aldrian. 2019. "AERONET Remotely Sensed Measurements and Retrievals of Biomass Burning Aerosol Optical Properties During the 2015 Indonesian Burning Season." Journal of Geophysical Research: Atmospheres 124 (8): 4722-4740 [10.1029/2018jd030182]

    Shi, Y. R., R. C. Levy, T. F. Eck, et al. B. Fisher, S. Mattoo, L. A. Remer, I. Slutsker, and J. Zhang. 2019. "Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals." Atmospheric Chemistry and Physics 19 (1): 259-274 [10.5194/acp-19-259-2019]

    Levy, R. C., S. Mattoo, V. Sawyer, et al. Y. Shi, P. R. Colarco, A. I. Lyapustin, Y. Wang, and L. A. Remer. 2018. "Exploring systematic offsets between aerosol products from the two MODIS sensors." Atmospheric Measurement Techniques 11 4073-4092 [https://doi.org/10.5194/amt-11-4073-2018]

    Lynch, P., J. S. Reid, D. L. Westphal, et al. J. Zhang, T. F. Hogan, E. J. Hyer, C. A. Curtis, D. A. Hegg, Y. Shi, J. R. Campbell, J. I. Rubin, W. R. Sessions, F. J. Turk, and A. L. Walker. 2016. "An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences." Geoscientific Model Development 9 (4): 1489-1522 [10.5194/gmd-9-1489-2016]

    Shi, Y., J. Zhang, J. S. Reid, B. Liu, and E. J. Hyer. 2014. "Critical evaluation of cloud contamination in the MISR aerosol products using MODIS cloud mask products." Atmospheric Measurement Techniques 7 (6): 1791-1801 [10.5194/amt-7-1791-2014]

    Shi, Y., J. Zhang, J. S. Reid, E. J. Hyer, and N.-Y. C. Hsu. 2013. "Critical evaluation of the MODIS Deep Blue aerosol optical depth product for data assimilation over North Africa." Atmos. Meas. Tech. 6 (4): 949-969 [10.5194/amt-6-949-2013]

    Toth, T., J. Zhang, J. R. Campbell, et al. J. S. Reid, Y. Shi, R. S. Johnson, A. Smirnov, M. A. Vaughan, and D. M. Winker. 2013. "Investigating enhanced Aqua MODIS aerosol optical depth retrievals over the mid-to-high latitude Southern Oceans through intercomparison with co-located CALIOP, MAN, and AERONET data sets." J. Geophys. Res. Atmos. 118 (10): 4700-4714 [10.1002/jgrd.50311]

    Shi, Y., J. Zhang, J. S. Reid, et al. B. Holben, E. J. Hyer, and C. Curtis. 2011. "An analysis of the collection 5 MODIS over-ocean aerosol optical depth product for its implication in aerosol assimilation." Atmospheric Chemistry and Physics 11 (2): 557-565 [10.5194/acp-11-557-2011]

    Shi, Y., J. Zhang, J. S. Reid, et al. E. J. Hyer, T. F. Eck, B. N. Holben, and R. A. Kahn. 2011. "A critical examination of spatial biases between MODIS and MISR aerosol products – application for potential AERONET deployment." Atmos. Meas. Tech. 4 (12): 2823-2836 [10.5194/amt-4-2823-2011]

                                                                                                                                                                                            
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