Refereed Journal Papers

Y. Wang, and L. Tang, 2021: A short-term quantitative precipitation forecasting approach using radar data and a RAP model. Geomatics. , Vol. 1, pp. 310-323

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

L. Tang, J. Zhang, M. Simpson, A. Arthur, H. Grams, Y. Wang, and C. Langston, 2020: Updates on the radar data quality control in the MRMS quantitative precipitation estimation systm. J. Atmos. Oceanic Technol. , Vol. 37, pp. 1521-1537

Y. Wang, T.-Y. Yu, A. V. Ryzhkov, and M. Kumjian, 2019: Application of spectral polarimetry to a hailstorm at low elevation angle. J. Atmos. Oceanic Technol. , Vol. 36, pp. 567-583

Y. Wang, S. Cocks, L. Tang, A. V. Ryzhkov, P. Zhang, J. Zhang, and K. Howard, 2019: A prototype quantitative precipiation estimation algorithm for operational S-band polarimetric radar utilizing specific attenuation and specific differential phase: part I-algorithm description. Journal of Hydrometeorology , Vol. 20, pp. 985-997

S. Cocks, L. Tang, A. V. Ryzhkov, P. Zhang, B. Kaney, K. Elmore, Y. Wang, J. Zhang, and K. Howard, 2019: A prototype quantitative precipiation estimation algorithm for operational S-band polarimetric radar utilizing specific attenuation and specific differential phase: part II-case study analysis and performance verification. Journal of Hydrometeorology Vol. 20, pp. 999-1014

J. Zhang, K. Howard, C. Langston, B. Kaney, Y. Qi, L. Tang, H. Grams, Y. Wang, S. Cocks, S. Martinaitis, A. Arthur, J. Brogden, D. Kizmiller, 2016: Multi-radar multi-sensor (MRMS) quantitative precipitation estimation: initial operating capabilities. Bull. Amer. Meteor. Soc. , Vol. 97, pp. 621-638

Y. Wang, and T.-Y. Yu, 2015: Tornado detection using an adaptive neuro-fuzzy system with polarimetric weather surveillance radar 1988-Doppler (WSR-88D). J. Atmos. Oceanic Technol. , Vol. 32, pp. 195-208.

Y. Wang, J. Zhang , P.-L. Zhang, and Q. Cao, 2015: Radar vertical profile of reflectivity correction with satellite observations using a neural network approach. Journal of Hydrometeorology. , Vol. 5, pp. 2230-2247

Y. Wang, J. Zhang , P.-L. Zhang, C. Langston, B. Kaney and L. Tang, 2015: Operational C-band dual-polarization radar QPE for the sub-tropical complex terrain of Taiwan. Advance in Meteorology. , Vol. 2016, Article ID 4294271, http://dx.doi.org/10.1155/2016/4294271

Y. Wang, P. Zhang, A. V. Ryzhkov, J. Zhang, and P.-L. Zhang, 2014: Utilization of specific attenuation for tropical rainfall estimation in complex terrain. Journal of Hydrometeorology. , Vol 15, 2250-2266.

Y. Wang, J. Zhang, A. Ryzhkov, and L. Tang, 2013: C-band polarimetric radar QPEs based on specific differential propagation phase for extreme typhoon rainfall. J. Atmos. Oceanic Technol., Vol 30, 1354-1370.

T.-Y. Yu, X. Xiao, and Y. Wang, 2012: Statistical quality of spectral polarimetric variables for weather radar. J. Atmos. Oceanic Technol. , Vol 29, 1221-1235.

R. Palmer, D. Bodine, M. Kumjian, B. Cheong, G. Zhang, Q. Cao, H. Bluestein, A. Ryzhkov, T.-Y. Yu, and Y. Wang, 2011: Observations of the 10 May 2010 tornado outbreak using OU-PRIME: potential for new science with high-resolution polarimetric radar. Bull. Amer. Meteor. Soc. , Vol. 9, 871-891.

M. Yeary, S. Nemati, T.-Y. Yu, Y. Wang, and Y. Zhai, 2009: A support-vector-machine-based approach to RF sensor spectral signature classifications. IEEE Transactions on Instrumentation and Measurement. , Vol. 58, No. 1, 221-228.

Y. Wang, T.-Y. Yu, M. Yeary, A. Shapiro, S. Nemati, M. Foster, D. Andra, and M. Jain, 2008: Tornado detection using a neuro-fuzzy system to integrate shear and spectral signatures. J. Atmos. Oceanic Technol., Vol. 25, 1136-1148.

T.-Y. Yu, Y. Wang, A. Shapiro, M. Yeary, D. Zrnic, and R. Doviak, 2007: Characterization of tornado spectral signatures using higher order spectra. J. Atmos. Oceanic Technol. , Vol. 24, 1997-2013.

M. Yeary, S. Nemati, T.-Y. Yu, and Y. Wang, 2007: Tornadic time series detection using eigen analysis and a machine intelligence-based approach. IEEE Geosci. and Remote Sens. Lett. , Vol. 4 no. 3, 335-339.


Conference Papers

O. Mohanmmed, J. Kianfar, and Y. Wang, 2020: Multinomial classification method for short-term spatial and temporal prediction of freeway crashes: case study of interstate 270 in Missouri. Transportation Research Board Annual Meeting, Accepted

M. Attallah, J. Kianfar, and Y. Wang, 2020: Extreme gradient boosting for development of weather-aware short-term speed prediction models. Transportation Research Board 99th Annual Meeting, , Washington D. C., January 2020.

Y. Wang, and L. Tang: Precipitation classification using the lowest tilt radar data with support vector machine method. 18th Conf. on Artificial and Computational Intelligence and Its Application to the Environmental Sciences. , 6-10 January 2019, Phoenix, AZ.

N. Caban, Y. Wang, and A. Osborne: A fuzzy logic nowcasting approach using COTREC and model wind field vectors. 35th Conf. on Environmental Information Processing Technologies. 6-10 January 2019, Phoenix, AZ.

L. Tang, and Y. Wang: A Bayesian approach to identify non-hydrometeor echoes using single-polarization radar data. 35th Conf. on Environmental Information Processing Technologies 6-10 January 2019, Phoenix, AZ.

T.-Y. Yu, and Y. Wang: Shear-induced Size Sorting of Rain and Hail Observed by a C-band Polarimetric Weather Radar. Progress in Electromagnetics Research Symposium 1A2, Toyama, Japan, 1-4 August, 2018

Y. Wang and J. Zhang: Radar based quantitative precipitation nowcasting using a non-steady radar extrapolation scheme. Proceeding of 38th Conference on Radar Meteorology 5B.5, Chicago, IL, 28 August-1 September, 2017.

Y. Wang, J. Zhang, P. Zhang, A. Ryzhkov, and C. Fritts:The impact of different precipitation types on the polarimetric radar QPE using specific attenuation in Taiwan Proceeding of 38th Conference on Radar Meteorology 265, Chicago, IL, 28 August-1 September, 2017.

J. Zhang, Y. Qi, L. Tang, S. Cocks, Y. Wang, P. Zhang, A. Ryzhkov, C. Langston, B. T. Kaney: MRMS dualpolarization radar synthetic QPE Proceeding of 38th Conference on Radar Meteorology 265, Chicago, IL, 28 August-1 September, 2017.

Y. Wang, P. Zhang, A. Ryzhkov, J. Zhang, L. Tang, and S. Cocks: Dual-polarization radar QPE using adjusted specific attenuation for different precipitation types. Proceeding of 37th Conference on Radar Meteorology , 9A.4, Norman, OK, 14-18, September, 2015.

T.-Y. Yu, Y. Wang, H. Le, A. V. Ryzhkov, and M. R. Kumjian: Application of spectral polarimetry to a hailstorm at low elevation angle. Proceeding of 37th Conference on Radar Meteorology , 14, Norman, OK, 14-18, September, 2015.

S. Cocks, Y. Wang, K. W. Howard, and J. Zhang: Single radar specific attenuation precipitation estimate comparisons with MRMS Q3 and dual-pol QPE. Proceeding of 37th Conference on Radar Meteorology , 9A.5, Norman, OK, 14-18, September, 2015.

L. Tang, D. Jorgensen, J. Zhang, Y. Wang, Y. Qi, K. Howard, D. J. Gochis, J. Busto, and J. Meitin: Snowfall rate estimation using X-band dual-polarization radar. Proceeding of 37th Conference on Radar Meteorology , 11A.6, Norman, OK, 14-18, September, 2015.

Y. Wang and J. Zhang: Radar vertical profile of reflectivity correction with TRMM observations using a neural network, International Weather Radar and Hydrology Symposium , Washington, DC, 7-9 April, 2014.

L. Tang, J. Zhang, A. Ryzhkov, and Y. Wang: Inter-comparison of polarimetric radar QPE schemes under different precipitation regimes, International Weather Radar and Hydrology Symposium , Washington, DC, 7-9 April, 2014.

Y. Wang, P. Zhang, A. V. Ryzhkov, J. Zhang, and P.-L. Zhang: The application of specific attenuation for rainfall estimation in complex terrain, Proceeding of 36th Conference on Radar Meteorology , P324, Breckenridge, CO, 16-20 September, 2013.

L. Tang, J. Zhang, and Y. Wang: Uncertainty analyses of the operational WSR-88D hydrometer classification products, Proceeding of 36th Conference on Radar Meteorology , 14B.5, Breckenridge, CO, 16-20 September, 2013.

Y. Wang, and T.-Y. Yu: Polarimetric tornado detection with an adaptive neuo-fuzzy inference system. Proceeding of AMS 11th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Science , Austin, TX, January 6-10, 2012.

Y. Wang, J. Zhang and P.-L. Chang: Radar based quantitative precipitation estimation in Taiwan. 45th American Geophysical Union Annual Fall Meeting , San Francisco, CA, December 3-7, 2012.

Y. Wang, J. Zhang, A. Ryzhkov, L. Tang and K. W. Howard: Quantitative precipitation estimation using specific differential propagation phase in typhoon systems in Taiwan, Proceeding of AMS 35th Conference on Radar Meteorology , 19B.2, Pittsburgh, PA, September 26-30, 2011.

Y. Wang, T.-Y. Yu and X. Xiao: Retrieval of microphysical properties for the mixture of rain and hail using Doppler spectral analysis and genetic algorithm, Proceeding of AMS 35th Conference on Radar Meteorology , P9.86, Pittsburgh, PA, September 26-30, 2011.

T.-Y. Yu, X. Xiao and Y. Wang: Statistical quality of spectral polarimetric variables for weather radar, Proceeding of AMS 35th Conference on Radar Meteorology , 15A.2, Pittsburgh, PA, September 26-30, 2011.

L. Tang, J. Zhang, Y. Wang and K. W. Howard: Identification of biological and anomalous propagation echoes in weather radar observations-an imaging processing approach, Proceeding of AMS 35th Conference on Radar Meteorology , P11.123, Pittsburgh, PA, September 26-30, 2011.

Y. Wang and T.-Y. Yu: Advanced tornado detection algorithm using super-resolution and polarimetric data, Proceeding of AMS 34th Conference on Radar Meteorology , Williamsburg, VA, October 5-9, 2009.

Y. Wang, X. Xiao and T.-Y. Yu: Spectral analysis of dual-polarization radar signals in a tornadic supercell storm, Proceeding of AMS 24th Conference on Severe Local Storms , 3B5, Savannah, GA, October 27-31, 2008.

S. Nemati, M. Yeary, T.-Y. Yu, Y. Wang and Y. Zhai: Spectral signature classification using a support vector classifier for real-time instrumentation, IEEE IMTC , Warsaw, Poland, May 1-3, 2007.

Y. Wang, T.-Y. Yu, M. Yeary, A. Shapiro, S. Nemati, M. Foster, D. Andra, and M. Jain: A novel approach of tornado detection using a machine intelligence system based on shear and spectral signatures, Proceeding of AMS 33rd Conference on Radar Meteorology , P5.17, Cairns, Australia, August 6-10, 2007.

Y. Wang, T.-Y. Yu, M. Yeary, A. Shapiro, S. Nemati, M. Foster, and D. Andra: Tornado identification using a neuro-fuzzy approach to integrate shear and spectral signatures, Proceeding of AMS 23th Conference on Severe Local Storms , P9.1, St. Louis, MO, November 6-10, 2006.

Y. Wang, T.-Y. Yu, M. Yeary, A. Shapiro, D. S. Zrnic, M. Foster and D. Andra: Tornado detection using the neuro-fuzzy method, Proceeding of AMS 32th Conference on Radar Meteorology , 10R.5, Albuquerque, NM, October 24-29, 2005.