NASA Logo Jet Propulsion Laboratory California Institute of Technology View the NASA Portal
NASA Banner
NASA Banner
NASA Banner
NASA Banner
JPL Science
JPL Science Division Home
Planetary Science Planetary Science
Astrophysics & Space Sciences Astrophysics & Space Sciences
Earth Science Earth Science
Center for Climate Sciences (3292)
Earth Surface And Interior (329A)
Ocean Circulation And Air Sea Interaction (329B)
Sea Level And Ice (329C)
Stratosphere And Upper Troposphere (329D)
Atmospheric Physics And Weather (329E)
Terrestrial Hydrology (329F)
Carbon Cycle And Ecosystems (329G)
Laboratory Studies And Atmospheric Observations (329H)
Tropospheric Composition (329I)
Aerosols And Clouds (329J)
Directorate Science Affiliates Directorate Science Affiliates
Open Postdoc Positions Open Postdoc Positions
Brochures Brochures
 Atmospheric Physics And Weather (329E): People
Yixin ‘Berry’  Wen's Picture
Jet Propulsion Laboratory
M/S 233-301F
4800 Oak Grove Drive
Pasadena, CA 91109
Email Contact:
Curriculum Vitae:

Yixin ‘Berry’ Wen

  1. Ph.D. Meteorology, University of Oklahoma, Norman, OK, US (2015)
  2. M.S. Geoinformatics, University of Oklahoma, Norman, OK, US (2012)
  3. B.S. Ecology, East China Normal University, Shanghai, China (2006)

Research Interests
  • Radar meteorology and polarimetry
  • Long-term climate data analysis
  • Satellite remote sensing
  • Developing and evaluating methods for improved QPE
  • Hydrological modeling

Professional Experience
  • Postdoctoral Research Associate, Jet Propulsion Laboratory (2015 – Present)
  • Postdoctoral Research Associate, CIMMS, NOAA/University of Oklahoma Cooperative Institute, Norman, OK, USA (2015 – 2015)
  • Research Assistant, National Weather Center, University of Oklahoma, Norman, OK, USA (2009 – 2015)
  • Visiting Researcher, Department of Microbiology & Plant Biology, University of Oklahoma, Norman, OK, USA (2007 - 2009
  • Teaching Assistant, School of Life Science, Fudan University, Shanghai, China (2006 - 2007)

Selected Awards
  • ARRC (Advanced Radar Research Center) Student Paper Award, 2011, 2013, and 2015
  • The Graduate College International Travel Scholarship, University of Oklahoma, 2014
  • University of Oklahoma Women’s Association Scholarship, University of Oklahoma, 2014
  • Betty Baum and Norman Hirschifield Award, University of Oklahoma, 2013
  • Sooner Heritage Scholarship, University of Oklahoma, 2013
  • Tommy C. Craighead Award for Best Paper in Radar Meteorology, University of Oklahoma, 2011
  • Oklahoma Space Grant Consortium/NASA EPSCOR Travel Grant, 2010
  • Travel Award Award from USNC URSI in the form of a fellowship grant award from the National Academies (NAS), 2009 and 2010

Selected Publications
  1. Y. Wen, Y. Hong, G. Zhang, T. J. Schuur, J. J. Gourley, Z. L. Flamig, K. R. Morris, and Q. Cao, 2011: Cross validation of spaceborne radar and ground polarimetric radar aided by polarimetric echo classification of hydrometeor types.  J. Appl. Meteor. Climatol., 50, 1389-1402, doi: 10.1175/2011JAMC2622.1.
  2. Q. Cao Y. Hong, J.J. Gourley, Y. Qi, J. Zhang, Y. Wen, and P. Kirstetter, 2012: Statistical and Physical Analysis of Vertical Structure of Precipitation in Mountainous West Region of US using 11+ Year Spaceborne TRMM PR Observations, Journal of Applied Meteorology and Climatology, doi:
  3. Y. Wen, Q. Cao, P.-E. Kirstetter, Y. Hong, J. J. Gourley, J. Zhang, G. Zhang, B. Yong, 2013: Incorporating NASA Spaceborne Radar Data into NOAA National Mosaic QPE System for Improved Precipitation Measurement: A Physically Based VPR Identification and Enhancement Method. J. Hydrometeor, 14, 1293–1307. doi:
  4. Q. Cao, Y. Wen, Y. Hong, J.J. Gourley, and P. Kirstetter, 2013: Enhancing Quantitative Precipitation Estimation (QPE) over Continental United States (CONUS) using a Physically-based Multi-sensor Integration Approach. IEEE Geoscience and Remote Sensing Letters, 11(7), 1305-1309. doi:10.1109/LGRS.2013.2295768.
  5. Q. Cao, Y. Hong, Y. Qi, Y. Wen, J. Zhang, J. J. Gourley, and L. Liao, 2013: Empirical conversion of the vertical profile of reflectivity from Ku-band to S-band frequency. Journal of Geophysical Research: Atmospheres 118:4, 1814-1825.
  6. Yong, B., L. Ren, Y. Hong, J. J. Gourley, Y. Tian, G. J. Huffman, X. Chen, W. Wang, and Y. Wen, 2013: First evaluation of the climatological calibration algorithm in the real-time TMPA precipitation estimates over two basins at high and low latitudes, Water Resour. Res., 49, 2461–2472, doi:10.1002/wrcr.20246.
  7. Y. Wen, P.E. Kirstetter, Y. Hong, J. J. Gourley, Q. Cao, J. Zhang, Z. Flamig and X. Xue, 2014: Evaluation of a method to enhance real-time ground radar-based rainfall estimates using climatological profiles of reflectivity from space. (In press).
  8. Y. Wen, P.E. Kirstetter, J.J. Gourley, Y. Hong, A. Behrangi, and Z. Flamig, 2016: Evaluation of MRMS snowfall products using SNOTEL measurements over western United States. (To be submitted to Journal of Hydrometeorology)
  9. G. Tang, Y. Wen, J. Gao, D. Long, Y. Ma, W. Wan, and Y. Hong, 2017, Similarities and differences between three co-existing space borne radars in global rainfall and snowfall estimation. Water Resour. Res. (In press)
  10. . Y. Gou, Y. Ma, Y. Wen, L. Na and H. Yi, 2017, Comparison and Analysis of Two Quantitative Precipitation Estimation Algorithm over the Eastern Tibetan Plateau. (Submitted to J. Appl. Meteor. Climatol, under second-round review).
  11. L. Zhong, R. Yang, L. Chen, Y. Wen, R. Li, G. Tang, Y. Hong, 2016: Combined Space and Ground radars for improving QPE in Eastern Downstream of the Tibetan Plateau (I): The variability of vertical structure of precipitation in ChuanYu implicated from long-term space-borne observations by TRMM / PR. (Submitted to J. Appl. Meteor. Climatol.)
  12. Y. Wen, A. Behrangi, and H. Chen, 2017: Remote Sensing of Atmospheric Rivers Precipitation: Was the January 2017 California Excessive Rainfall and Snowfall Event Detectable by Global Satellite Observing and Ground Weather Radar Network? (to be submitted to Quarterly Journal of the Royal Meteorological Society).
  13. Y. Wen, A. Behrangi, S. Licata, S. Granger, T. Tadesse and Y. Sun, 2017: Advancing drought monitoring and prediction using vapor pressure deficit and solar induced fluorescence. (To be submitted to Remote Sensing of Environment).
  14. Y. Wen, A. Behrangi, M. Schreier, and B. Lambrigtsen, 2017: The passive microwave random forest precipitation retrieval algorithm for AMSU/MHS observations. (To be submitted to Atmos. Meas. Tech.)

Group Home Page
People in this Group
Group Projects

JPL Privacy Statement Sitemap Contact Site Manager