Jian Zhang
Stormscale Hydrometeorology Group (SHMG)
Job Title:Research Meteorologist
Affiliation:Federal
Email:Email hidden; Javascript is required.
Phone:(405) 325-6456
Jian is a research meteorologist at the NSSL and the Federal team lead for the Stormscale HydroMeteorology Group. She is the lead scientist for the research and development of the Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimation (QPE) system.
| Degree (Ph.D, M.S, B.A, etc.) | Major Subject | University or College Name | Year (YYYY) (optional) |
|---|---|---|---|
| Ph.D | Meteorology | University of Oklahoma | |
| M.S | Atmospheric Physics | Chinese Academy of Meteorological Sciences | |
| B.S | Atmospheric Physics | Peking University |
- Radar Data Quality Control
- Radar Network Mosaicking
- Radar and Multi-sensor QPE
- Machine Learning QPE
- Radar Data Assimilation for Numerical Weather Predictions
- American Meteorological Society
- National Weather Association
| Award Name | Year |
|---|---|
| Dapartment of Commerce Silver Medal | 2015 |
| Dapartment of Commerce Bronze Medal | 2012 |
| University of Oklahoma Innovator Award | 2011 |
| Federal Aviation Administration Excellence in Aviation Award | 2002 |
Osborne, A., J. Zhang, M. Simpson, K. Howard, S Cocks, 2023: Application of Machine Learning Techniques to Improve Multi-Radar Multi-Sensor (MRMS) Precipitation Estimates in the Western United States. Artificial Intelligence for the Earth Systems. 2, 1-19.
Hanft, W., J. Zhang, M. Simpson, 2022: Dual-pol VPR Corrections for Improved Operational Radar QPE in MRMS, J. Hydromet., 24, 353-371.
Chang, P-L, J. Zhang, Y-S Tang, L. Tang, P-F Lin, C. Langston, B. Kaney, C-R Chen, K. Howard, 2021: An operational Multi-Radar Multi-Sensor QPE system in Taiwan. Bull. Amer. Met. Soc., 102, E555-E577.
Zhang, J., L. Tang, S. Cocks, P. Zhang, A. Ryzhkov, K. Howard, C. Langston and B. Kaney, 2020: A dual-polarization radar synthetic QPE for operations. J. Hydromet., 21, 2507-2521.
Zhang, J., K Howard, C. Langston, et al., 2016: Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities. Bull. Amer. Met. Soc., 97, 621-638.
Wang, Y., J. Zhang, P-L Chang, Q. Cao, 2015: Radar vertical profile of reflectivity correction with TRMM observations using a neural network approach. J. Hydromet. 16, 2230-2247.
Tang, L., J. Zhang, C. Langston, J. Krause, K. Howard, and V. Lakshmanan, 2014: A physically based precipitation-nonprecipitation radar echo classifier using polarimetric radar and environmental data in a real-time system. Wea. Forecasting, 29, 1106-1119.
Zhang, J., Y. Qi, C. Langston, B. Kaney, and K. Howard, 2014: A real-time algorithm for merging radar QPEs with rain gauge observations and orographic precipitation climatology. J. Hydromet. 15, 1794-1809.
Grams, H.M., J. Zhang, and K. Elmore, 2014: Automated Identification of Enhanced Rainfall Rates Using the Near-Storm Environment for Radar Precipitation Estimates. J. Hydromet. 15, 1238-1254.
Zhang, J., Y. Qi, D. Kingsmill, and K. Howard, 2012: radar-based quantitative precipitation estimation for the cool season in complex terrain: case studies from the noaa hydrometeorology testbed. J. Hydromet. 13, 1836-1854.
Zhang, J., Y. Qi, K. Howard, C. Langston, and B. Kaney, 2012: Radar Quality Index (RQI) – A combined measure of beam blockage and VPR effects in a national network. Proceedings, International Symposium on Weather Radar and Hydrology, IAHS Publ. 351-25 (2012).
Zhang, J., K Howard, C. Langston, et al., 2011: National Mosaic and multi-sensor QPE (NMQ) system: description, results and future plans. Bull. Amer. Met. Soc., 92, 1321-1338.
Zhang, J., and Y. Qi, 2010: A real-time algorithm for the correction of bright band effects in radar-derived precipitation estimation. J. Hydrometeorology. 11, 1157-1171.
Zhang, J. and S. Wang, 2006: An automated 2-D multi-pass Doppler radar velocity dealiasing scheme. J. Atmos. Ocean. Tech.,23, 1239-1248.
Zhang, J., K. Howard, and J.J. Gourley, 2005: Constructing three-dimensional multiple radar reflectivity mosaics: examples of convective storms and stratiform rain echoes. J. Atmos. Ocean. Tech., 22, 30-42.
Maddox, R., J. Zhang, J.J. Gourley, and K. Howard, 2002: Weather radar coverage over the contiguous United States. Wea. Forecast, 17, 927-934.