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 Atmospheric Physics And Weather (329E): People
Baijun  Tian's Picture
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M/S 233-304
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Baijun Tian

Dr. Baijun Tian is an atmospheric and climate scientist with the Atmospheric Physics and Weather group (329E) in Earth Science Section at NASA Jet Propulsion Laboratory (JPL), California Institute of Technology (Caltech), and a visiting associate researcher in the Joint Institute for Regional Earth System Science and Engineering (JIFRESSE) at University of California, Los Angeles (UCLA). His research focuses on producing and analyzing satellite remote-sensing datasets for climate dynamics and climate modeling studies. He is an expert on the Atmospheric Infrared Sounder (AIRS) Level 3 (L3) and Obs4MIPs (Observations for Model Intercomparison Project) products, climate model evaluation, tropical deep convection, Madden-Julian Oscillation (MJO), diurnal cycle, intertropical convergence zone (ITCZ), and MJO-related aerosol and trace gas variations. He is one member of the NASA AIRS science team at JPL. He has led the development of the AIRS Version 6 (V6) L3 product and the AIRS Obs4MIPs product. He has published 49 peer-reviewed journal articles and book chapters since 2001 including 17 first-authored ones. As of 03/23/2017, his H-index is 18 according to the Web of Science and 20 according to the Google Scholar.


Education
  • Ph.D. in Oceanography, Scripps Institution of Oceanography, University of California, San Diego, 2002.
  • M.S. in Meteorology, Department of Geophysics, Peking University, P. R. China. 1996.
  • B.S. in Meteorology, Department of Geophysics, Peking University, P. R. China, 1992.

Research Interests
  • Climate Dynamics and Modeling
  • Madden-Julian Oscillation and its Chemical Impacts
  • Global/Regional Climate Model Evaluation

Projects

AIRS Icon AIRS
The Atmospheric Infrared Sounder, AIRS, is an instrument whose goal is to support climate research and improved weather forecasting.

JIFRESSE Icon JIFRESSE
JIFRESSE is a scientific collaboration between UCLA and JPL to improve understanding and to develop future projections about global climate change.

CYGNSS Icon CYGNSS
The Cyclone Global Navigation Satellite System (CYGNSS) will measure ocean surface wind speed throughout the life cycle of tropical storms and hurricanes. The goal is a fundamental improvement in hurricane forecasting.


Professional Experience
  • Scientist, Jet Propulsion Laboratory, California Institute of Technology (2009-present)
  • Visiting Researcher, Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles (2008-present)
  • Postdoctoral Scholar, Jet Propulsion Laboratory, California Institute of Technology (2004-2007)
  • Postdoctoral Research Associate, Program in Atmospheric & Oceanic Sciences, Princeton University (2002-2004)
  • Graduate Student Researcher, Scripps Institution of Oceanography, University of California, San Diego (1996-2002)
  • Graduate Student Researcher, Department of Geophysics, Peking University, P. R. China (1993-1996)
  • Research Assistant, Department of Geophysics, Peking University, P. R. China (1992-1993)

Selected Awards
  • JPL Team Award for assessing the consequences of the loss of AMSU-A2 on the AIRS mission, 2017
  • JPL IPCC AR5 Team Award, 2012

Selected Publications
  1. Tian, B., H. Lee, D. Waliser, R. Ferraro, J. Kim, J. Case, T. Iguchi, E. Kemp, D. Wu, W. Putnam, and W. Wang, 2017: Development and Application of Performance Metrics to Assess the Downscaled Climate Simulations of Summer Precipitation over the US Great Plains, J. Hydrometeor.
  2. Lee, H., D. Waliser, R. Ferraro, Iguchi, T., C. Peters-Lidard, B. Tian, P. Loikith and D. Wright, 2017: Evaluating hourly rainfall characteristics over the US Great Plains in dynamically downscaled climate model simulations using NASA-Unified WRF (NU-WRF), J. Geophy. Res., doi:10.1002/2017JD026564, in press.
  3. Iguchi, T., W.-K. Tao, D. Wu, C. Peters-Lidard, J. A. Santanello, E. Kemp, Y. Tian, J. Case, W. Wang, R. Ferraro, D. Waliser, J. Kim, H. Lee, B. Guan, B. Tian, and P. Loikith, 2017: Sensitivity of CONUS summer rainfall to the selection of cumulus parameterization scheme in NU-WRF climate simulations, J. Hydrometeor., 18, 6, doi:10.1175/JHM-D-16-0120.1.
  4. Kim, J., B. Guan, D. Waliser, R. Ferraro, J. Case, Iguchi, E. Kemp, Putnam, W. Wang, D. Wu, and B. Tian, 2017: Assessments of dynamic downscaling for the effects of atmospheric river landfalls on the winter precipitation characteristics in WUS, Clim. Dyn., doi:10.1007/s00382-017-3601-5.
  5. Devasthale, A., J. Sedlar, B. H. Kahn, M. Tjernström, E. J. Fetzer, B. Tian, J. Teixeira, and T. S. Pagano, 2016: A decade of spaceborne observations of the Arctic atmosphere: Novel insights from NASA's AIRS instrument. Bull. Am. Meteor. Soc., 97, 2163-2176, doi:10.1175/bams-d-14-00202.1.
  6. Tian, B. J., 2015: Spread of model climate sensitivity linked to double-intertropical convergence zone bias. Geophys. Res. Lett.42, 4133-4141, doi:10.1002/2015GL064119.
  7. Liu, C., B. Tian, K.-F. Li, G. L. Manney, N. J. Livesey, Y. L. Yung, and D. E. Waliser, 2014: Northern Hemisphere mid-winter vortex-displacement and vortex-split stratospheric sudden warmings: Influence of the Madden-Julian oscillation and quasi-biennial oscillation. J. Geophys. Res.119, 12599–12620, doi:10.1002/2014JD021876.
  8. Sun, W., P. Hess, and B. Tian, 2014: The response of the equatorial tropospheric ozone to the Madden-Julian oscillation in TES satellite observations and CAM-chem model simulation. Atmos. Chem. Phys.14, 11775-11790, doi:10.5194/acp-14-11775-2014.
  9. Serra, Y. L., X. Jiang, B. Tian, J. A. Amador, E. D. Maloney, and G. N. Kiladis, 2014: Tropical intra-seasonal modes of the atmosphere. Annu. Rev. of Environ. Resour.39, 5.1-5.27, doi:10.1146/annurev-environ-020413-134219. 
  10. Hearty, T., A. Savtchenko, B. Tian, E. J. Fetzer, B. Vollmer, M. Theobald, Y. L. Yung, E. Fishbein, and Y.-I. Won, 2014: Estimating sampling biases and measurement uncertainties of AIRS/AMSU-A temperature and water vapor observations using MERRA reanalysis. J. Geophys. Res., 119, doi:10.1002/2013JD021205.
  11. Tian, B., and D. E. Waliser, 2014, Madden-Julian Oscillation (MJO), in Encyclopedia of Remote Sensing, edited by E. Njoku, SpringerReference (www.springerreference.com), Springer-Verlag Berlin Heidelberg.
  12. Guo, Y., B. Tian, R. A. Kahn, O. Kalashnikova, S. Wong, and D. E. Waliser, 2013: Tropical Atlantic dust and smoke aerosol variabilities related to the Madden-Julian Oscillation in MODIS and MISR observations. J. Geophys. Res., 118, D50409,
  13. 4947-4963, doi:10.1002/jgrd.50409.
  14. Li, K.-F., B. Tian, K.-K. Tung, L. Kai, J. R. Worden, and Y. L. Yung, 2013: A link between tropical intraseasonal variability and Arctic stratospheric ozone. J. Geophys. Res., 118, D50391, 4280-4289, doi:10.1002/jgrd.50391..
  15. Tian, B., E. Fetzer, B. Kahn, J. Teixeira, E. Manning, and T. Hearty, 2013: Evaluating CMIP5 models using AIRS tropospheric air temperature and specific humidity climatology. J. Geophys. Res., 118, D50117, doi:10.1029/2012JD018607.
  16. Tian, B., C. O. Ao, D. E. Waliser, E. J. Fetzer, A. J. Mannucci, and J. Teixeira, 2012: Intraseasonal temperature variability in the upper troposphere and lower stratosphere from the GPS radio occultation measurements. J. Geophys. Res., 117, D15110, doi:10.1029/2012JD017715.
  17. Li, K.-F., B. Tian, D. E. Waliser, M. J. Schwartz, J. L. Neu, J. R. Worden, and Y. L. Yung, 2012: Vertical structure of MJO-related subtropical ozone variations from MLS, TES, and SHADOZ data. Atmos. Chem. Phys., 12, 425-436, doi:10.5194/acp-12-425-2012.
  18. Tian, B., and D. E. Waliser, 2011: Chemical and biological impacts. Chapter 18 in Intraseasonal Variability of the Atmosphere-Ocean System (2nd Edition), Edited by K.-M. Lau and D. E. Waliser, Springer, Heidelberg, Germany.
  19. Tian, B., D. E. Waliser, R. A. Kahn, and S. Wong, 2011: Modulation of Atlantic aerosols by the Madden-Julian Oscillation. J. Geophys. Res., 116, D15108, doi:10.1029/2010JD015201.
  20. Li, K.-F., B. Tian, D. E. Waliser, and Y. L. Yung, 2010: Tropical mid-tropospheric CO2 variability driven by the Madden-Julian Oscillation. Proc. Nat. Acad. Sci., 107, 19171-19175, doi:10.1073/pnas.1008222107.
  21. Tian, B., D. E. Waliser, E. J. Fetzer, and Y. L. Yung, 2010: Vertical moist thermodynamic structure of the Madden-Julian Oscillation in Atmospheric Infrared Sounder retrievals: An update and a comparison to ECMWF interim reanalysis. Mon. Wea. Rev., 138, 4576-4582, doi:10.1175/2010MWR3486.1.
  22. Neelin, J. D., B. R. Lintner, B. Tian, Q. Li, L. Zhang, P. K. Patra, M. T. Chahine, and S. N. Stechmann, 2010: Long tails in deep columns of natural and anthropogenic tropospheric tracers. Geophys. Res. Lett., 37, L05804, doi:10.1029/2009GL041726.
  23. Seo, K.-W., D. E. Waliser, B. Tian, J. Familgietti, and T. Syed, 2009: Evaluation of global land-to-ocean fresh water discharge and evapotranspiration using space-based observations. J. Hydrol., 373, 508-515, doi:10.1016/j.jhydrol.2009.05.014.
  24. Waliser, D. E., B. Tian, M. J. Schwartz, X. Xie, W. T. Liu, and E. J. Fetzer, 2009: How well can satellite data characterize the water cycle of the Madden-Julian Oscillation? Geophys. Res. Lett., 36, L21803, doi:10.1029/2009GL040005.
  25. Tian, B., D. E. Waliser, R. A. Kahn, Q. B. Li, Y. L. Yung, T. Tyranowski, I. V. Geogdzhavev, M. I. Mishchenko, O. Torres, and A. Smirnov, 2008: Does the Madden-Julian Oscillation influence aerosol variability?, J. Geophys. Res., 113, D12215, doi:10.1029/2007JD009372.
  26. Schwartz, M. J., D. E. Waliser, B. Tian, D. L. Wu, J. H. Jiang, and W. G. Read, 2008: Characterization of MJO-related upper-tropospheric hydrological processes using MLS. Geophys. Res. Lett., 35, L08812, doi:10.1029/2008GL033675.
  27. Tian, B. J., Y. L. Yung, D. E. Waliser, T. Tyranowski, L. Kuai, E. J. Fetzer, and F. W. Irion, 2007: Intraseasonal variations of the tropical total ozone and their connection to the MJO. Geophys. Res. Lett., 34, L08704, doi:10.1029/2007GL029471.
  28. Tian, B., D. E. Waliser, and E. J. Fetzer, 2006: Modulation of the diurnal cycle of tropical deep convective clouds by the MJO. Geophys. Res. Lett., 30, L20704, 10.1029/2006GL027752.
  29. Tian, B., D. E. Waliser, E. J. Fetzer, B. H. Lambrigtsen, Y. Yung, and B. Wang, 2006: Vertical moist thermodynamic structure and spatial-temporal evolution of the MJO in AIRS observations. J. Atmos. Sci., 63, 2462-2485.
  30. Tian, B., I. M. Held, N.-C. Lau, and B. J. Soden, 2005: Diurnal cycle of summertime deep convection over North America: A satellite perspective. J. Geophys. Res., 110, D10108, doi:10.1029/2004JD005275.
  31. Tian, B., B. J. Soden, and X. Wu, 2004: Diurnal cycle of convection, clouds, and water vapor in the tropical upper troposphere: Satellites versus a general circulation model. J. Geophys. Res., 109, D10101, doi:10.1029/2003JD004117.
  32. Tian, B., and V. Ramanathan, 2003: A simple moist tropical atmosphere model: The role of cloud radiative forcing. J. Climate, 16, 2086-2092.
  33. Tian, B., and V. Ramanathan, 2002: Role of tropical clouds in surface and atmospheric energy budget. J. Climate, 15, 296-305.
  34. Tian, B., G. J. Zhang, and V. Ramanathan, 2001: Heat balance in the Pacific warm pool atmosphere during TOGA COARE and CEPEX. J. Climate, 14, 1881-1894.

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