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 Aerosols And Clouds (329J): People
Olga  Kalashnikova's Picture
Address:
Jet Propulsion Laboratory
M/S 233-200
4800 Oak Grove Drive
Pasadena, CA 91109
Phone:
818.393.0469
Fax:
818.393.4619
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Curriculum Vitae:

Olga Kalashnikova

Olga V. Kalashnikova is a Research Scientist at JPL, primarily working on applications of particle scattering theory to mapping aerosol properties using satellite and airborne remote sensing observations. She is a core science team member of the Multi-angle Imaging SpectroRadiometer (MISR) satellite instrument team, and a co-investigator on the Multi-Angle Imager for Aerosols (MAIA) and Earth Surface Mineral Dust Source Investigation (EMIT) mission proposals that were recently selected as part of NASA's Earth Ventures Instrument program. She is a member of Plankton, Aerosol, Cloud, Ocean Ecosystem (PACE) science definition team advising on the aerosol optical modelling for the atmospheric correction. As member of the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) team, Olga participated and contributed to a number of NASA field campaigns and AirMSPI instrument deployments including ImPACT-PM (Imaging Polarimetric Assessment and Characterization of Tropospheric Particulate Matter) 2016 field experiment that she led as the PI in collaboration with Prof. Seinfeld (http://www.cce.caltech.edu/content/john-h-seinfeld).

Education
  • Ph.D., Astrophysical, Planetary and Atmospheric Science (APAS), University of Colorado at Boulder (2002)
  • Remote Sensing Certificate, University of Colorado at Boulder (2001)
  • M.S., Physics, University of Colorado at Boulder (1997)
  • B.S., Physics, Kazakh State National University, Kazakhstan (1994)

  • Research Interests
    • Mineral dust properties, radiative effects and climate connections
    • Remote sensing of aerosol optical properties
    • Light Scattering by irregular and absorbing aerosols

    Projects

    MISR Icon MISR
    The Multi-angle Imaging SpectroRadiometer (MISR) instrument provides a unique opportunity for studying the environment and climate of Earth through the acquisition of global multiangle imagery on the daylit side of Earth.

    AirMSPI Icon AirMSPI
    The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) instrument flies aboard NASA's ER-2 high altitude aircraft.

    MAIA Icon MAIA
    The Multi-Angle Imager for Aerosols (MAIA) instrument is currently in development

    EMIT (Earth Surface Mineral Dust Source Investigation)
    The Earth Surface Mineral Dust Source Investigation (EMIT) is an Earth Ventures-Instrument (EVI-4) Mission to map the surface mineralogy of arid dust source regions via imaging spectroscopy in the visible and short-wave infrared (VSWIR).


    Professional Experience
    • Jet Propulsion Laboratory (2002-Present)
      • Research Scientist (2004-Present)
      • Member of Technical Staff (2004-present)
      • MISR Science team member (2013-present)
      • MAIA Science team member (2016-present)
      • EMIT Science Team member (2018-present)
      • Member of AIrMSPI algorithm team (2010-present)
      • NRC Research Associate (post-doctorial), JPL (2002-2004)

    Selected Awards
    • NASA Group Achievement Awards (2017, 2015, 2013)
    • MAIA Proposal Team Bonus Award (2016)
    • JPL Team Awards (2012, 2014)
    • JPL Mariner Award (2009)
    • MISR Science and Data System Team Award (2009)
    • NASA New Investigator in Earth Science Award (2008)
    • Zeldovich International Award 2006 for COSPAR Commission A "Space Studies of the Earth's Surface, Meteorology and Climate", (2006)
    • National Research Council (NRC) fellowship, NASA/JPL (2002)

      Selected Publications
      1. Kalashnikova O.V. et al., (2018), Photopolarimetric sensitivity to black carbon content of wildfire smoke: Results from the 2016 IMPACT‐PM field campaign, Journal of Geophysical Research, 123, doi:10.1029/2017JD028032.
      2. Lee, H., Jeong, S.‐J., Kalashnikova, O., Tosca, M., Kim, S.‐W., & Kug, J.‐S. (2018). Characterization of wildfire‐induced aerosol emissions from the Maritime Continent peatland and Central African dry savannah with MISR and CALIPSO aerosol products. Journal of Geophysical Research: Atmospheres, 123, 3116-3125. https://doi.org/10.1002/2017JD027415
      3. Li, W., H. Al-Eskary, JK. P. ManiKandan, M. A. Qurban, M. J. Garay, and O. V. Kalashnikova (2017), Synergistic use of remote sensing and modeling to assess an anomalously high chlorophyll-a event during Summer 2015 in the South Central Red Sea, Remote Sensing, 9, 778, doi:10.3390/rs9080778.
      4. Xu, F., G. van Harten, D. J. Diner, O. V. Kalashnikova, F. C. Seidel, C. J. Bruegge, and O. Dubovik (2017), Coupled retrieval of aerosol properties and land surface reflection using the Airborne Multiangle SpectroPolarimetric Imager, J. Geophys. Res. Atmos., 122, 70047026, doi:10.1002/2017JD026776.
      5. Tosca M., J. Campbell, M. J. Garay, S. Lolli, O. Kalashnikova, and F. Seidel (2017), Recent reductions in aerosol burden have contributed to accelerated summertime warming in the southeast United States, Remote Sensing 2017, 9(7), 674; doi:10.3390/rs9070674
      6. Franklin M., O. V. Kalashnikova, M. J. Garay (2017), Size-resolved particulate matter con- centrations derived from 4.4 km-resolution size-fractionated Multi-angle Imaging SpectroRa- diometer (MISR) aerosol optical depth over Southern California, Remote Sensing of Environ- ment. 196. 10.1016/j.rse.2017.05.002.
      7. Wu, L., Su, H., Kalashnikova, O. V., Jiang, J. H., Zhao, C., Garay, M. J., Campbell, J. R., and Yu, N. (2017), WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley, Atmos. Chem. Phys., 17, 7291-7309, https://doi.org/10.5194/acp-17-7291-2017.
      8. Garay, M. J., Kalashnikova, O. V., and Bull, M. A (2017), Development and assessment of a higher-spatial-resolution (4.4km) MISR aerosol optical depth product using AERONET- DRAGON data, Atmos. Chem. Phys., 17, 5095-5106, https://doi.org/10.5194/acp-17-5095- 2017.
      9. Lee, H., Kalashnikova, O. V., Suzuki, K., Braverman, A., Garay, M. J., and Kahn, R. A (2016), Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models, Atmos. Chem. Phys., 16, 6627- 6640, https://doi.org/10.5194/acp-16-6627-2016.
      10. Xu, F., Dubovik, O., Zhai, P.-W., Diner, D. J., Kalashnikova O. V., Seidel, F. C., Litvinov, P., Bovchaliuk, A., Garay, M. J., van Harten, G., and Davis, A. B. (2016), Joint retrieval of aerosol and water-leaving radiance from multispectral, multiangular and polarimetric mea- surements over ocean, Atmos. Meas. Tech., 9, 2877-2907, https://doi.org/10.5194/amt-9- 2877-2016
      11. Hu, Z., Zhao, C., Huang, J., Leung, L. R., Qian, Y., Yu, H., Huang, L., and Kalashnikova, O.
V (2016), Trans-Pacific transport and evolution of aerosols: evaluation of quasi-global WRF- Chem simulation with multiple observations, Geosci. Model Dev., 9, 1725-1746, doi:10.5194/gmd- 9-1725-2016.
      12. Yu, Y., M. Notaro, O. V. Kalashnikova, and M. J. Garay (2016), Climatology of summer Shamal wind in the Middle East, J. Geophys. Res. Atmos., 121, 289305, doi:10.1002/2015JD024063.
      13. Notaro, M., Y. Yu, and O. V. Kalashnikova (2015), Regime shift in Arabian dust activity, triggered by persistent Fertile Crescent drought, J. Geophys. Res. Atmos., 120, doi:10.1002/2015JD023855.
      14. Lee Y. G., J. Kim, C.-H. Ho, S. An, H.-K. Cho, R. Mao, B. Tian, D. Wu, J. N. Lee, O. Kalashnikova, Y. Choi, and S.-W. Yeh (2015), The effects of ENSO under negative AO phase on spring dust activity over northern China: an observational investigation, International Journal of Climatology, Volume 35, Issue 6, pages 935947.
      15. Tosca, M. G., D. J. Diner, M. J. Garay, and O. V. Kalashnikova (2015), Human-caused fires limit convection in tropical Africa: First temporal observations and attribution, Geophys. Res. Lett., 42, 64926501, doi:10.1002/2015GL065063.
      16. Kishcha P., A. M. da Silva, B. Starobinets, C. N. Long, O. V. Kalashnikova, and P. Alpert (2015), Saharan dust as a causal factor of hemispheric asymmetry in aerosols and cloud cover over the tropical Atlantic Ocean, International Journal of Remote Sensing, Volume 36, Issue 13, pages 3423-3445

      See Full publication list


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