1) Alessandrini, S., S. Meech, W. Cheng, C.M. Rozoff, R. Kumar, 2024: Comparing machine learning and inverse modeling approaches for the source term estimation. Air Quality, Atmosphere, and Health. https://doi.org/10.1007/s11869-024-01570-x
2) Sperati, S., S. Alessandrini , F. D’Amico , W. Cheng, C.M. Rozoff, R. Bonanno, M. Lacavalla, M. Aiello, D. Airoldi, A. Amaranto, G. Decimi, and M.A. Vergata, 2024: A new Wind Atlas to support the expansion of the Italian wind power fleet. Wind Energy, 27(3), 298-316.
3) Conte, D., A. Tiesi, W. Cheng, A. Papa, Mario Miglietta, 2023: Nowcasting of wind in the Venice Lagoon using WRF-FDDA. Atmosphere, 14(3), 502; DOI: 10.3390/atmos14030502.
4) Pan, L., Y. Liu, G. Roux, W. Cheng, Y. Liu, J. Hu, S. Jin, S. Feng, J. Du, L. Peng, 2021: Seasonal variation of the surface wind forecast performance of the high-resolution WRF-RTFDDA system over China. Atmospheric Research, 259, 105673; doi:10.1016/j.atmosres.2021.105673.
5) Kosovic, B., S.E. Haupt, D. Adriaansen, S. Alessandrini, G. Wiener, L. Delle Monache, Y. Liu, S. Linden, T. Jensen, W. Cheng, M. Politovich, and P. Prestopnik, 2020: A comprehensive wind power forecasting system integrating artificial intelligence and numerical weather prediction. Energies, 13, 1372; doi:10.3390/en13061372.
6) Huang, Y., Y. Liu, M. Xu, Y. Liu, L. Pan, H. Wang, W.Y.Y. Cheng, Y. Jiang, H. Lan, H. Yang, X. Wei, R. Zong, C. Cao, 2018: Forecasting severe convective storms with WRF-based RTFDDA radar data assimilation in Guangdong, China. Atmospheric Research, 209, 131-143. DOI: 10.1016/j.atmosres.2018.03.010
7) Wang, H., Y. Liu, T. Zhao, M. Xu, Y. Liu, F. Guo, W.Y.Y. Cheng, S. Feng, E.R. Mansell, A. Fierro, 2018: Incorporating geostationary lightning data into a radar reflectivity based hydrometeor retrieval method: An observing system simulation experiment. Atmospheric Research, 209, 1-13. DOI: 10.1016/j.atmosres.2018.03.002.
8) Wang, H., Y. Liu, W.Y.Y. Cheng, T. Zhao, M. Xu, Y. Liu, K. Calhoun, A.O. Fierro, 2017, Improving lightning and precipitation prediction of severe convection using lightning data assimilation with NCAR WRF-RTFDDA. Journal of Geophysical Research, 122. https://doi.org/10.1002/2017JD027340.
9) Cheng, W.Y.Y., Y. Liu, A.J. Bourgeois, Y. Wu, and S.E. Haupt, 2017: Short-term wind forecast of a data assimilation/weather forecasting system with wind turbine anemometer measurement assimilation. Renewable Energy, 107, 340-351.
10) Haupt, S.E., J. Copeland, W.Y.Y. Cheng, Y. Zhang, C. Ammann, and P. Sullivan, 2016: Quantifying the wind and solar power resource and their inter-annual variability over the United States under current and projected future climate. Journal of Applied Meteorology and Climatology, 55, 345-363.
11) Massey, J.D., W.J. Steenburgh, J.C. Knievel, and W.Y.Y. Cheng, 2016: Regional soil-moisture biases and their influence on WRF-model temperature forecasts over the Intermountain West, Wea. Forecasting, 31, 197-216.
12) Lin, P., Y. Liu, Y. Liu, L. Li, W. Cheng, and G. Roux, 2015: Impact of four-dimensional data assimilation (FDDA) on urban climate analysis. Journal of Advances in Modeling Earth Systems, 7, 1997–2011, doi:10.1002/2015MS000487.
13) Cheng, W.Y.Y., Y. Liu, Y. Liu, Y. Zhang, W.P. Mahoney, and T.T. Warner, 2013: The impact of model physics on numerical wind forecasts. Renewable Energy, 55, 347-356.
14) Carrio, G.G., W.R. Cotton, and W.Y.Y. Cheng, 2010: Urban growth and aerosol effects on convection over Houston Part I: The August 2000 case. Atmos. Res., 96(4), 560-574.
15) Cheng, W.Y.Y., G.G. Carrio, W.R. Cotton, and S. M. Saleeby, 2009: Influence of cloud condensation and giant cloud condensation nuclei on the development of precipitating trade wind cumuli in a large eddy simulation, J. Geophys. Res., 114, D08201, doi:10.1029/2008JD011011.
16) Cheng, W.Y.Y. and W.J. Steenburgh, 2007: Strengths and weaknesses of MOS, running-mean bias removal, and Kalman filter techniques for improving model forecasts over the Western U.S. Wea. Forecasting, 22(6), 1304-1318.
17) West., G.L., W.J. Steenburgh, and W.Y.Y. Cheng, 2007: Spurious grid-scale precipitation in the North American Regional Reanalysis. Mon. Wea. Rev., 135(6), 2168-2184.
18) Saleeby, S.M., W.Y.Y. Cheng, and W.R. Cotton, 2007: New developments in the Regional Atmospheric Modeling System suitable for simulating snowpack augmentation over complex terrain. J. Wea. Mod., 39, 37-49.
19) Cheng, W.Y.Y. and W.J. Steenburgh, 2005: Evaluation of surface forecasts by the WRF and ETA models over the Western United States. Wea. Forecasting, 20(5), 812-821.
20) Cheng, W.Y.Y. and W.R. Cotton, 2004: Sensitivity of a simulated mesoscale convective system to horizontal heterogeneities in soil moisture initialization. J. Hydromet. 5(5), 934-958.
21) Zhang, D.-L., W.Y.Y. Cheng, and J.R. Gyakum, 2002: The impact of various potential vorticity anomalies on multiple frontal cyclogenesis events. Quart. J. Roy. Meteor. Soc., 128, 1847-1878.
22) Cheng, W.Y.Y., T. Wu, and W.R. Cotton, 2001: Large-eddy simulations of the 26 November 1991 FIRE II cirrus case. J. Atmos. Sci., 58, 1017-1034.
23) Wu, T., W.R. Cotton, and W.Y.Y. Cheng, 2000: Radiative effects on the diffusional growth of ice particle in cirrus clouds. J. Atmos. Sci., 57, 2892-2904.
