Lin Tang


Stormscale Hydrometeorology Group (SHMG)

Job Title:Research Scientist


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Lin is a research scientist at the CIWRO/NSSL and a member of the Stormscale Hydrometerology Group. Her research and work focus on improving radar data quality and radar-based quantitative precipitation estimation for the Multi-Radar Multi-Sensor (MRMS) system.

Degree (Ph.D, M.S, B.A, etc.) Major Subject University or College Name Year (YYYY) (optional)
Ph.D. Electrical and Computer Engineering University of Oklahoma
M.S. Physics University of Oklahoma
B.S. Physics Sichuan University
Research Interests
  • Radar Data Quality Control
  • Radar Quantitative Precipitation Estimation
Selected Publications


Chang, P., J. Zhang, Y. Tang, L. Tang, P. Lin, C. Langston, B. Kaney, C. Chen, K. Howard, 2021: An operational Multi-Radar Multi-Sensor QPE system in Taiwan. Bulletin of the American Meteorological Society, 102, E555–E577, doi:10.1175/BAMS-D-20-0043.1.

Martinaitis, S. M., S. B. Cocks, A. P. Osborne, M. J. Simpson, L. Tang, J. Zhang, K. W. Howard, 2021: The Historic Rainfalls of Hurricanes Harvey and Florence: A Perspective from the Multi-Radar Multi-Sensor System. Journal of Hydrometeorology, 22, 721–738, doi:10.1175/JHM-D-20-0199.1.

Wang, Y., L. Tang, P. Chang, Y. Tang, 2021: Separation of convective and stratiform precipitation using polarimetric radar data with a support vector machine method. Atmos. Meas. Tech, 14, 185–197,

Wang, Y., L. Tang, 2021: A Short-Term Quantitative Precipitation Forecasting Approach Using Radar Data and a RAP Model. Geomatics, 1, 310–323,

Tang, L., J. Zhang, M. Simpson, A. Arthur, H. Grams, Y. Wang, C. Langston, 2020: Updates on the radar data quality control in the MRMS quantitative precipitation estimation system. Journal of Atmospheric and Oceanic Technology, 37, 1521–1537, doi:10.1175/JTECH-D-19-0165.1.

Zhang, J., L. Tang, S. Cocks, P. Zhang, A. Ryzhkov, K. Howard, C. Langston, B. Kaney, 2020: A dual-polarization radar synthetic QPE for operations. Journal of Hydrometeorology, 22, doi:10.1175/JHM-D-19-0194.1.

Cocks, S. B., L. Tang, P. Zhang, A. Ryzhkov, B. Kaney, K. Elmore, Y. Wang, J. Zhang, K. Howard, 2019: A Prototype Quantitative Precipitation Estimation Algorithm for Operational S-Band Polarimetric Radar Utilizing Specific Attenuation and Specific Differential Phase. Part II: Performance Verification and Case Study Analysis. Journal of Hydrometeorology, 20, 999–1014, doi:10.1175/JHM-D-18-0070.1.

Wang, Y., S. B. Cocks, L. Tang, A. Ryzhkov, P. Zhang, J. Zhang, K. Howard, 2019: A Prototype Quantitative Precipitation Estimation Algorithm for Operational S-Band Polarimetric Radar Utilizing Specific Attenuation and Specific Differential Phase. Part I: Algorithm Description. Journal of Hydrometeorology, 20, 985–997, doi:10.1175/JHM-D-18-0071.1.

Jozahi, A., M. Nabatian, S. Noh, D. J. Seo, L. Tang, J. Zhang, 2019: Improving multisensory precipitation estimation via adaptive conditional bias-penalized merging of rain gauge data and remotely sensed quantitative precipitation estimates. Journal of Hydrometeorology, 20, 2347–2365, doi:10.1175/JHM-D-19-0129.1.

Wang, Y., J. Zhang, P. Chang, C. Langston, B. Kaney, L. Tang, 2016: Operational C-Band Dual-Polarization Radar QPE for the Subtropical Complex Terrain of Taiwan. Advances in Meteorology, 2016, 1-15, doi:10.1155/2016/4294271.

Zhang, J., K. Howard, C. Langston, B. Kaney, Y. Qi, L. Tang, H. Grams, Y. Wang, S. Cocks, S. Martinaitis, A. Arthur, K. Cooper, J. Brogden, D. Kitzmiller, 2016: Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities. Bulletin of the American Meteorological Society, 97, 2, 621–638, doi:10.1175/BAMS-D-14-00174.1.

Tang, L., J. Zhang, C. Langston, J. Krause, K. Howard, V. Lakshmanan, 2014: A Physically Based Precipitation–Nonprecipitation Radar Echo Classifier Using Polarimetric and Environmental Data in a Real-Time National System. Weather and Forecasting, 29, 1106–1119, doi:10.1175/WAF-D-13-00072.1.

Wang, Y., J. Zhang, A. V. Ryzhkov, L. Tang, 2013: C-Band Polarimetric Radar QPE Based on Specific Differential Propagation Phase for Extreme Typhoon Rainfall. Journal of Atmospheric and Oceanic Technology, 30, 1354–1370, doi:10.1175/JTECH-D-12-00083.1.