Lin Tang
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 |
- Radar Data Quality Control
- Radar Quantitative Precipitation Estimation
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, doi:doi.org/10.5194/amt-14-185-2021.
Wang, Y., L. Tang, 2021: A Short-Term Quantitative Precipitation Forecasting Approach Using Radar Data and a RAP Model. Geomatics, 1, 310–323, doi:doi.org/10.3390/geomatics1020017.
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.