Yunheng Wang

The Cooperative Institute of Severe and High-Impact Weather Research and Operations (CIWRO), University of Oklahoma, USA

The National Severe Storms Laboratory, National Oceanic and Atmospheric Administration (NOAA)

Qualifications:

2007 Ph.D., School of Computer Science, University of Oklahoma, USA

2003 M.Sc., School of Computer Science, University of Oklahoma, USA

2000 M.Sc., Department of Atmospheric and Oceanic Science, University of Maryland, USA

1996 M.Sc., Chinese Academy of Meteorological Sciences, China

1993 B.Sc., Department of Meteorology, Nanjing Institute of Meteorology, China

Publications(Selected)

1. Hu, J., J. Gao, Y. Wang, S. Pan, A. O. Fierro, P. S. Skinner, K. Knopfmeier, E. R. Mansell and P. L. Heinselman, 2021: Evaluation of a Warn-on-Forecast 3DVAR analysis and forecast system on quasi-real-time short-term forecasts of high impact weather events. Quarterly Journal of the Royal Meteorological Society. 147, 741, 4063–4082, doi:10.1002/qj.4168.

2. Hu, J., A. O. Fierro, Y. Wang, J. Gao, A. J. Clark, I. Jirak, E. R. Mansell, B. Roberts, E. James and M. Hu, 2021: Assessment of storm-scale real time assimilation of GOES-16 GLM lightning-derived water vapor mass and radar data on short term precipitation forecasts during the 2020 Spring Forecast Experiment. Journal of Geophysical Research - Atmospheres. 126(21), Doi:10.1029/2021JD034603.

3. Liu P., Y. Yang, A. Lai, Y. Wang, A. O. Fierro, J. Gao and C. Wang, 2021: Assimilating FY4 Lightning and Radar Data for Improving Short-Term Forecasts of a High-Impact Convective Event with a Dual-Resolution Hybrid 3DEnVAR Method. Remote Sensing. 13(16), 3090, Doi: 10.3390/rs13163090.

4. Du, M., J. Gao, G. Zhang, Y. Wang, P. L. Heinselman and C. Cui, 2021: Assimilation of Polarimetric Radar Data in Simulation of a Supercell Storm with a Variational Approach and the WRF Model. Remote Sensing. 13(16), 3060. Doi:10.3390/rs13163060.

5. Chen, H., J. Gao, Y. Wang, Y. Chen, T. Sun, Y. Zheng and J. Carlin, 2021: Radar reflectivity data assimilation method based on background-dependent hydrometeor retrieval: The comparison with direct assimilation in real cases. Quarterly Journal of the Royal Meteorological Society. 147, 2409-2428, doi:10.1002/qj.4031.

6. Gallo, B. T., J. K. Wolff, A. J. Clark, I. Jirak, L. R. Blank, B. Roberts, Y. Wang, C. Zhang, M. Xue, T. Supinie, L. Harris, L. Zhou and C. Alexander, 2021: Exploring Convection-Allowing Model Evaluation Strategies for Severe Local Storms using the Finite-Volume Cubed-Sphere (FV3) Model Core. Weather and Forecasting. 36, 3-19, doi:10.1175/WAF-D-20-0090.1.

7. Pan S., J. Gao, T. Jones, Y. Wang, X. Wang, and J. Li, 2021: The Impact of Assimilating Satellite-derived Layered Precipitable Water, Cloud Water Path and Radar Data on Short-Range Thunderstorm Forecasts. Mon. Wea. Rev. 149, 1359-1380, doi:10.1175/MWR-D-20-0040.1.

8. Clark, A., I. L. Jirak, B. T. Gallo, B. Roberts, A. R. Dean, K. H. Knopfmeier, L. J. Wicker, M. Krocak, P. S. Skinner, P. L. Heinselman, K. A. Wilson, J. Vancil, K. A. Hoogewind, N. A. Dahl, G. J. Creager, T. A. Jones, J. Gao, Y. Wang, E. D. Loken, M. Flora, C. A. Kerr, N. Yussouf, S. R. Dembek, W. Miller, J. Martin, J. Guerra, B. Matilla, D. Jahn, D. Harrison, D. Imy, M. C. Coniglio, 2020: A Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction. Bull. Amer. Meteor. Soc., 0, doi:10.1175/BAMS-D-20-0268.1.

9. Liu, P., Y. Yang, J. Gao, Y. Wang, and C. Wang, 2020: An Approach for Assimilating FY4 Lightning and Cloud Top Height Data using 3DVAR. Front. Earth Sci. - Atmospheric Science, 8, page 288. doi:10.3389/feart.2020.00288.

10. Hu J., A. O. Fierro, Y. Wang, J. Gao, E. R. Mansell, 2020: Exploring the Assimilation of GLM Derived Water Vapor Mass in a Cycled 3DVAR Framework for Short-term Forecasts of High Impact Convective Events. Mon. Wea. Rev., 148, 1005-1028. doi:10.1175/MWR-D-19-0198.1.

11. Wang Y., J. Gao, P. S. Skinner, K. Knopfmeier, T. Jones, G. Creager, P. L. Heinselman, and L. J. Wicker, 2019: Test of a Weather-Adaptive Dual-Resolution Hybrid Warn-on-Forecast Analysis and Forecast System for Several Severe Weather Events. Weather and Forecasting, 34, 1807-1827, doi:10.1175/WAF-D-19-0071.1.

12. Clark, A., I. Jirak, B. Gallo, B. Roberts, K. Knopfmeier, J. Vancil, A. Dean, P. Heinselman, M. Krocak, J. Choate, K. Wilson, P. Skinner, Y. Wang, G. Creager, L. Reames, L. Wicker, S. Dembek, and S. Weiss, 2019: A Real-Time, Simulated Forecasting Experiment for Advancing the Prediction of Hazardous Convective Weather. Bull. Amer. Meteor. Soc., 0, doi:10.1175/BAMS-D-19-0298.1.

13. Fierro A. O., Y. Wang, J. Gao, and E. R. Mansell, 2019: Variational assimilation of radar data and GLM lightning-derived water vapor for the short-term forecasts of high-impact convective events. Monthly Weather Review, 147, 4045–4069, doi:10.1175/MWR-D-18-0421.1.

14. Lai A., J. Gao, S. E. Koch, Y. Wang, S. Pan, A. O. Fierro, C. Cui, and J. Min, 2019: Assimilation of Radar Radial Velocity, Reflectivity, and Pseudo–Water Vapor for Convective-Scale NWP in a Variational Framework. Mon. Wea. Rev., 147, 2877-2900. doi: 10.1175/MWR-D-18-0403.1.

15. Fierro, A. O. Fierro, G. Zhao, S. Liu, Y. Wang, J. Gao, K. M. Calhoun, C. L. Ziegler, E. R. Mansell, D. R. MacGorman, 2018: Assimilation of total lightning with GSI and NEWS3DVAR to improve short-term forecasts of high impact weather events at cloud resolving scales. JCSDA Quarterly Newsletter, Winter 2018 Edition, Volume 58, 8pp., doi:10.7289/V5CJ8BR2.

16. Fu C., J. Gao, Y. Wang, J. Tang, C. Zhou, C. Ye, Z. Zhuang, 2018: Applications of a Realtime Weather-Adaptive 3DVAR Analysis System in Tornado Related Severe Weather Detections and Warning. Advances in Meteorological Science and Technology, 8, 9–37, doi:10.3969/j.issn.2095-1973.2018.03.002.

17. Johnson, A. X., X. Wang, M. Xue, F. Kong, K. Thomas, Y. Wang, K. Brewster, J. Gao, 2014: Multiscale characteristics and evolution of perturbations for warm season convection allowing precipitation forecasts: Dependence on background flow and method of perturbation. Monthly Weather Review, 142, 1053–1073, doi:10.1175/MWR-D-13-00204.1.

18. Wang, Y., Y. Jung, T. A. Supinie, and M. Xue, 2013: A hybrid MPI/OpenMP parallel algorithm and performance analysis for an ensemble square root filter suitable for dense observations. J. Atmos. Ocean. Tech., 30, 1382-1397.

19. Gao, J., T. M. Smith, D. J. Stensrud, C. Fu, K. Calhoun, K. L. Manross, J. Brogden, V. Lakshmanan, Y. Wang, K. W. Thomas, K. Brewster, M. Xue, 2013: A Real-Time Weather-Adaptive 3DVAR Analysis System for Severe Weather Detections and Warnings. Weather and Forecasting, 28, 727–745, doi:10.1175/WAF-D-12-00093.1

20. Xue, M., J. Schleif, F. Kong, K. Thomas, Y. Wang, and K. Zhu, 2013: Track and intensity forecasting of Hurricanes: Impact of cloud-resolving resolution and ensemble Kalman filter data assimilation on 2010 Atlantic season forecasts. Wea. Forecasting, 28, 1366-1384.