Ivy Tan

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Ivy Tan

  • NASA POSTDOCTORAL FELLOW
  • 301.614.6190
  • NASA/GSFC
  • Mail Code: 613
  • Greenbelt , MD 20771
  • Employer: UNIVERSITY OF MARYLAND BALTIMORE COUNTY
  • Brief Bio

    I use a combination of satellite observations and climate models to research how clouds influence climate change.  I am particularly interested in the role of mixed-phase cloud microphysical processes in extratropical cloud feedbacks. 

    Education

    Ph.D., Yale University, Department of Geology & Geophysics, December 2016

    B. Sc. (Hon.), University of Toronto, Department of Physics, May 2009

    Awards

    AGU Outstanding Student Paper Award (2015)

    Elias Loomis Prize for “excellence in studies of physics of the earth”, Yale University (2015)

    EGU Outstanding Student Poster Award (2015)

    Marie Curie Sklodowska Association Undergraduate Scholarship, University of Toronto (2008)

    Grants

    11/16/2018 - 11/16/2020 The Science of Terra, Aqua and Suomi NPP, NASA

    Investigating the extratropical cloud optical depth feedback with MODIS, AIRS, CERES and AMSR

    ; PI
    10/15/2016 - 11/15/2018 NASA Postdoctoral Program Fellowship, USRA

    The role of thermodynamic phase shifts in the interannual low cloud optical
    depth feedback

    08/01/2014 - 08/01/2016 NASA Earth and Space Science Fellowship, NASA

    Improving cloud phase predictions through the use of CALIOP retrievals

    Selected Publications

    Refereed

    Tan, I., L. Oreopoulos, and N. Cho. 2019. "The Role of Thermodynamic Phase Shifts in Cloud Optical Depth Variations With Temperature." Geophysical Research Letters, 46 (8): 4502-4511 [10.1029/2018gl081590]

    Tan, I., and T. Storelvmo. 2019. "Evidence of Strong Contributions From Mixed‐Phase Clouds to Arctic Climate Change." Geophysical Research Letters, 46 (5): 2894-2902 [10.1029/2018gl081871]

    McCoy, D. T., I. Tan, D. L. Hartmann, M. D. Zelinka, and T. Storelvmo. 2016. "On the relationships among cloud cover, mixed-phase partitioning, and planetary albedo in GCMs." Journal of Advances in Modeling Earth Systems, 8 (2): 650-668 [10.1002/2015ms000589]

    Tan, I., T. Storelvmo, and M. D. Zelinka. 2016. "Observational constraints on mixed-phase clouds imply higher climate sensitivity." Science, 352 (6282): 224-227 [10.1126/science.aad5300]

    Tan, I., and T. Storelvmo. 2016. "Sensitivity Study on the Influence of Cloud Microphysical Parameters on Mixed-Phase Cloud Thermodynamic Phase Partitioning in CAM5." Journal of the Atmospheric Sciences, 73 (2): 709-728 [10.1175/jas-d-15-0152.1]

    Tan, I., T. Storelvmo, and Y.-S. Choi. 2014. "Spaceborne lidar observations of the ice-nucleating potential of dust, polluted dust, and smoke aerosols in mixed-phase clouds." Journal of Geophysical Research: Atmospheres, 119 (11): 6653-6665 [10.1002/2013jd021333]

    Brief Bio

    I use a combination of satellite observations and climate models to research how clouds influence climate change.  I am particularly interested in the role of mixed-phase cloud microphysical processes in extratropical cloud feedbacks. 

    Selected Publications

    Refereed

    Tan, I., L. Oreopoulos, and N. Cho. 2019. "The Role of Thermodynamic Phase Shifts in Cloud Optical Depth Variations With Temperature." Geophysical Research Letters 46 (8): 4502-4511 [10.1029/2018gl081590]

    Tan, I., and T. Storelvmo. 2019. "Evidence of Strong Contributions From Mixed‐Phase Clouds to Arctic Climate Change." Geophysical Research Letters 46 (5): 2894-2902 [10.1029/2018gl081871]

    McCoy, D. T., I. Tan, D. L. Hartmann, M. D. Zelinka, and T. Storelvmo. 2016. "On the relationships among cloud cover, mixed-phase partitioning, and planetary albedo in GCMs." Journal of Advances in Modeling Earth Systems 8 (2): 650-668 [10.1002/2015ms000589]

    Tan, I., T. Storelvmo, and M. D. Zelinka. 2016. "Observational constraints on mixed-phase clouds imply higher climate sensitivity." Science 352 (6282): 224-227 [10.1126/science.aad5300]

    Tan, I., and T. Storelvmo. 2016. "Sensitivity Study on the Influence of Cloud Microphysical Parameters on Mixed-Phase Cloud Thermodynamic Phase Partitioning in CAM5." Journal of the Atmospheric Sciences 73 (2): 709-728 [10.1175/jas-d-15-0152.1]

    Tan, I., T. Storelvmo, and Y.-S. Choi. 2014. "Spaceborne lidar observations of the ice-nucleating potential of dust, polluted dust, and smoke aerosols in mixed-phase clouds." Journal of Geophysical Research: Atmospheres 119 (11): 6653-6665 [10.1002/2013jd021333]

                                                                                                                                                                                            
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