Jingjing Tian

Postdoctoral Researcher
Atmospheric, Earth, and Energy Division
Email: tian5@llnl.gov
Phone: +19254237421

Research Interests

  • Land-atmosphere-cloud interaction
  • Clouds and precipitation
  • Radar and satellite remote sensing
  • Cloud microphysics retrieval

Honors and Awards

  • PLS Spot award (2020)
  • AEED Stand out award (2020)
  • Second place award of 2019 RMDS data science competition (2019)
  • Galileo circle scholarship, University of Arizona (2018)
  • Best group presentation award, DOE ARM summer training and science applications, Oklahoma (2015)

Selected Publications

  • Tian, J., Dong, X., Xi, B., and Feng, Z. (2020), Characteristics of Ice Cloud–Precipitation of Warm Season Mesoscale Convective Systems over the Great Plains. J. Hydrometeor., 21, 317–334, https://doi.org/10.1175/JHM-D-19-0176.1
  • Tian, J., Dong, X., Xi, B., Williams, C. R., and Wu, P. (2019), Estimation of liquid water path below the melting layer in stratiform precipitation systems using radar measurements during MC3E, Atmos. Meas. Tech., 12, 3743–3759, https://doi.org/10.5194/amt-12-3743-2019.
  • Tian, J., Dong, X., Xi, B., Minnis, P., Smith, W. L., Jr, Sun-Mack, S., … Wang, J.(2018), Comparisons of ice water path in deep convective systems among ground-based, GOES, and CERES-MODIS retrievals. Journal of Geophysical Research: Atmospheres, 123, 1708–1723. https://doi.org/10.1002/2017JD027498
  • Tian, J., Dong, X., Xi, B., Wang, J., Homeyer, C. R., McFarquhar, G. M., and Fan, J. (2016), Retrievals of ice cloud microphysical properties of deep convective systems using radar measurements, Journal of Geophysical Research: Atmosphere., 121,10 ,820–10,839, https://doi.org/10.1002/2015JD024686
  • Tian, J. and Wu, P. (2019) Prediction of tropical cyclone intensity change using advance machine learning techniques, 2019 RMDS data science competition 2nd-place winner report.