• Professor, Atmospheric Sciences

Research Statement

Dr. Pu's research combines numerical computer weather models and satellite, radar and in-situ observations for improved weather analysis and prediction. Her studies focus on numerical modeling and advanced data assimilation with aims at improving high-impact weather forecasting (e.g., hurricanes, winter storms, heavy rain, high winds). Dr. Pu's recent interests has also expanded into the data sciences, artificial intelligence, and machine learning. Some highlights can be found at https://www-test.chpc.utah.edu/news/newsletters/fall2018_chpc_newsletter.pdf

Research Keywords

  • Numerical Weather Prediction and Predictability
  • Data Science, Artificial Intelligence, and Machine Learning
  • Data Assimilation for Atmospheric Sciences and Geosciences

Publications

  • Zhang F., Pu Z. & Wang C. (2021). Land-Surface Diurnal Effects on the Asymmetric Structures of a Postlandfall Tropical Storm. Vol. 126. Journal of Geophysical Research: Atmospheres. Published, 12/14/2020.
  • Feng J., Duan Y., Wan Q., Hu H. & Pu Z. (2020). Improved prediction of landfalling tropical cyclone in china based on assimilation of radar radial winds with new super-observation processing. (pp. 2523-2539). Vol. 35. Weather and Forecasting. Published, 12/01/2020.
  • Xue J., Mohammadi F., Li X., Sahraei-Ardakani M., Ou G. & Pu Z. (2020). Impact of transmission tower-line interaction to the bulk power system during hurricane. Vol. 203. Reliability Engineering and System Safety. Published, 11/01/2020.
  • Lackmann, G. (2020). Editorial: Data Availability Principles and Practice. Weather and Forecasting. Published, 10/2020.
  • Zhang S. & Pu Z. (2020). Evaluation of the four-dimensional ensemble-variational hybrid data assimilation with self-consistent regional background error covariance for improved hurricane intensity forecasts. Vol. 11. Atmosphere. Published, 09/01/2020.
  • Wei Y., Pu Z. & Zhang C. (2020). Diurnal Cycle of Precipitation Over the Maritime Continent Under Modulation of MJO: Perspectives From Cloud-Permitting Scale Simulations. Vol. 125. Journal of Geophysical Research: Atmospheres. Published, 07/16/2020.
  • Lin L.F. & Pu Z. (2020). Improving near-surface short-range weather forecasts using strongly coupled land-atmosphere data assimilation with gsi-enkf. (pp. 2863-2888). Vol. 148. Monthly Weather Review. Published, 07/01/2020.
  • Zhang T., Zhao C., Gong C. & Pu Z.X. (2020). Simulation of wind speed based on different driving datasets and parameterization schemes near Dunhuang wind farms in Northwest of China. Vol. 11. Atmosphere. Published, 06/01/2020.
  • Cui Z., Pu Z., Emmitt G.D. & Greco S. (2020). The impact of airborne doppler aerosol wind (DAWN) lidar wind profiles on numerical simulations of tropical convective systems during the nasa convective processes experiment (CPEX). (pp. 705-722). Vol. 37. Journal of Atmospheric and Oceanic Technology. Published, 04/01/2020.
  • Zhang F., Wang C. & Pu Z. (2019). Genesis of tibetan plateau vortex: Roles of surface diabatic and atmospheric condensational latent heating. (pp. 2633-2651). Vol. 58. Journal of Applied Meteorology and Climatology. Published, 12/01/2019.
  • Hodges D. & Pu Z. (2019). Characteristics and variations of low-level jets and environmental factors associated with summer precipitation extremes over the great plains. (pp. 5123-5144). Vol. 32. Journal of Climate. Published, 08/01/2019.
  • Liu J. & Pu Z. (2019). Does Soil Moisture Have an Influence on Near-Surface Temperature?. (pp. 6444-6466). Vol. 124. Journal of Geophysical Research: Atmospheres. Published, 06/27/2019.
  • Gultepe I., Sharman R., Williams P., Zhou B., Ellrod G., Minnis P., Trier S., Griffin S., Yum S., Gharabaghi B., Feltz W., Temimi M., Pu Z., Storer L., Kneringer P., Weston M., Chuang H., Thobois L., Dimri A., Dietz S., França G., Almeida M. & Neto F. (2019). A Review of High Impact Weather for Aviation Meteorology. (pp. 1869-1921). Vol. 176. Pure and Applied Geophysics. Published, 05/01/2019.
  • Hodges D. & Pu Z. (2019). Characteristics and variations of low-level jets in the contrasting warm season precipitation extremes of 2006 and 2007 over the Southern Great Plains. (pp. 753-771). Vol. 136. Theoretical and Applied Climatology. Published, 04/12/2019.
  • Ma M., Chen Y., Ding F., Pu Z. & Liang X. (2019). The Representativeness of Air Quality Monitoring Sites in the Urban Areas of a Mountainous City. (pp. 236-250). Vol. 33. Journal of Meteorological Research. Published, 04/01/2019.
  • Zhang F., Pu Z. & Wang C. (2019). Impacts of Soil Moisture on the Numerical Simulation of a Post-Landfall Storm. (pp. 206-218). Vol. 33. Journal of Meteorological Research. Published, 04/01/2019.
  • Zhang F. & Pu Z. (2019). Sensitivity of numerical simulations of near-surface atmospheric conditions to snow depth and surface albedo during an ice fog event over Heber Valley. (pp. 797-811). Vol. 58. Journal of Applied Meteorology and Climatology. Published, 04/01/2019.
  • Cui Z., Pu Z., Tallapragada V., Atlas R. & Ruf C. (2019). A Preliminary Impact Study of CYGNSS Ocean Surface Wind Speeds on Numerical Simulations of Hurricanes. (pp. 2984-2992). Vol. 46. Geophysical Research Letters. Published, 03/16/2019.
  • Lin L. & Pu Z. (2019). Examining the impact of SMAP soil moisture retrievals on short-range weather prediction under weakly and strongly coupled data assimilation with WRF-noah. (pp. 4345-4366). Vol. 147. Monthly Weather Review. Published, 01/01/2019.
  • Saunders P., Yu Y. & Pu Z. (2019). Sensitivity of numerical simulations of Hurricane Joaquin (2015) to cumulus parameterization schemes: Implications for processes controlling a hairpin turn in the track. (pp. 577-595). Vol. 97. Journal of the Meteorological Society of Japan. Published, 01/01/2019.
  • Pu, Z. & C. Yu, V. Tallapragada, J. Jin, W. McCarty (2019). The Impact of Assimilation of GPM Microwave Imager Clear-Sky Radiance on Numerical Simulations of Hurricanes Joaquin (2015) and Matthew (2016) with the HWRF model. Monthly Weather Review. Vol. 147. Published, 01/01/2019.
  • Li, Y., C. Zhao, T. Zhang, W. Wang, H. Duan, Y. Liu, Y. Ren, Z. Pu (2018). Impacts of land-use data on the simulation of surface air temperature in Northwest China. Journal of Meteorological Research. Published, 12/20/2018.
  • Zhang, F., Z. Pu, and C. Wang (2018). Impacts of initial soil moisture on the numerical simulation of a post-landfall storm. . J. Meteor. Res. Published, 12/19/2018.
  • Pu,Z., C. Yu, V. Tallapragada, J. Jin, W. McCarty (2018). The impact of assimilation of GPM microwave imager clear-sky radiance on numerical simulations of Hurricanes Joaquin (2015) and Matthew (2016) with the HWRF model. Monthly Weather Review. Published, 12/17/2018.
  • Pu,Z., C. Yu, V. Tallapragada, J. Jin, W. McCarty (2018). The impact of assimilation of GPM microwave imager clear-sky radiance on numerical simulations of Hurricanes Joaquin (2015) and Matthew (2016) with the HWRF model. Monthly Weather Review. Published, 12/17/2018.
  • Lin L. & Pu Z. (2018). Characteristics of background error covariance of soil moisture and atmospheric states in strongly coupled land-atmosphere data assimilation. (pp. 2507-2529). Vol. 57. Journal of Applied Meteorology and Climatology. Published, 11/01/2018.
  • Ren, Y., Y. Li, Z. Pu, T. Zhang, H. Duan, W. Wang, (2018). Effect of updated RegCM4 land use data on near-surface temperature simulation in China,. Journal of Meteorological Research. Published, 10/10/2018.
  • Duan H., Li Y., Zhang T., Pu Z., Zhao C. & Liu Y. (2018). Evaluation of the Forecast Accuracy of Near-Surface Temperature and Wind in Northwest China Based on the WRF Model. (pp. 469-490). Vol. 32. Journal of Meteorological Research. Published, 06/01/2018.
  • Zhang S., Pu Z. & Velden C. (2018). Impact of enhanced atmospheric motion vectors on HWRF Hurricane analyses and forecasts with different data assimilation configurations. (pp. 1549-1569). Vol. 146. Monthly Weather Review. Published, 05/01/2018.
  • Pu, Z., and E. Kalnay (2018). Numerical Weather Prediction Basics: Models, Numerical Methods, and Data Assimilation. In: Duan Q., Pappenberger F., Thielen J., Wood A., Cloke H., Schaake J. (eds) Handbook of Hydrometeorological Ensemble Forecasting. Springer, Berlin, Heidelberg. Published, 05/01/2018.
  • Hodges, D., Z. Pu (2018). Characteristics and variations of low level jets in the contrasting precipitation extremes of 2006 and 2007 over the Southern Great Plains. Theoretical and Applied Climatology. Published, 05/01/2018.
  • Li, Y., Z. Pu, J. Feng, 2018: The influence of ENSO on upper-Level Jets. Journal of Lanzhou University (Natural Sciences) . 53, 127-136. Published, 02/15/2018.
  • Chachere, C. and Z. Pu (2018). Numerical simulations of an inversion fog event in the Salt Lake Valley during the MATERHORN-fog field campaign. Pure and Applied Geophysics. Published, 01/31/2018.
  • Pu, Z., C. Lin, X. Dong, and S. Krueger (2018). Sensitivity of numerical simulations of a mesoscale convective system to ice hydrometeors in bulk microphysical parameterization. Pure and Applied Geophysics. Published, 01/31/2018.
  • Pu, Z. (2018). Weather and Climate under complex terrain and variable land surfaces: Observations and numerical simulations. Journal of Meteorological Research, Springer. Published, 01/2018.
  • Li Y., Ye P., Pu Z., Feng J., Ma B. & Wang J. (2017). Historical statistics and future changes in long-duration blocking highs in key regions of Eurasia. (pp. 1195-1207). Vol. 130. Theoretical and Applied Climatology. Published, 11/01/2017.
  • Doyle J. (2017). A view of tropical cyclones from above: The tropical cyclone intensity experiment. Bulletin of the American Meteorological Society. Vol. 98, 2113-2134. Published, 10/01/2017.
  • Pu, Z, C. Yu*, V. Tallapragada, J. Jin, W. McCarty, 2017: Assimilation of GPM microwave Imager clear-sky radiance in improving hurricane forecasts. JCSDA Quarterly Newsletter, Fall 2017. https://doi.org/10.7289/V50P0X8R . Published, 10/01/2017.
    https://doi.org/10.7289/V50P0X8R
  • Lin C., Zhang Z., Pu Z. & Wang F. (2017). Numerical simulations of an advection fog event over Shanghai Pudong International Airport with the WRF model. (pp. 874-889). Vol. 31. Journal of Meteorological Research. Published, 10/01/2017.
  • Zhang F. & Pu Z. (2017). Effects of vertical eddy diffusivity parameterization on the evolution of landfalling hurricanes. (pp. 1879-1905). Vol. 74. Journal of the Atmospheric Sciences. Published, 06/01/2017.
  • Zhang, F. & Z. Pu, C. Wang (2017). Effects of boundary layer vertical mixing strength on the evolution of hurricanes over land. Monthly Weather Review. Vol. 145. Published, 05/24/2017.
    https://doi.org/10.1175/MWR-D-16-0421.1
  • Zhang, F. (2017). Effects of vertical eddy diffusivity parameterization on the evolution of landfalling hurricanes. The Journal of Atmospheric Sciences. Vol. 74. Published, 05/19/2017.
    https://doi.org/10.1175/JAS-D-16-0214.1
  • Liu J., Zhang F. & Pu Z. (2017). Numerical simulation of the rapid intensification of Hurricane Katrina (2005): Sensitivity to boundary layer parameterization schemes. (pp. 482-496). Vol. 34. Advances in Atmospheric Sciences. Published, 04/01/2017.
  • Li Y., Ye P., Feng J., Lu Y., Wang J. & Pu Z. (2017). Simulation and projection of blocking highs in key regions of Eurasia by CMIP5 models. (pp. 147-165). Vol. 95. Journal of the Meteorological Society of Japan. Published, 01/21/2017.
  • Boukabara, S. A & T. Zhu; H. Tolman; S. Lord; S. Goodman; R. Atlas; M. Goldberg; T. Auligne; B. Pierce; L. Cucurull; M. Zupanski; M. Zhang; I. Moradi; J. Otkin; D. Santek; B. Hoover; Z. Pu; X. Zhan; C. Hain; E. Kalnay; D. Hotta; S. Nolin; E. Bayler; A. Mehra et al. (2017). S4: An O2R/R2O infrastructure for optimizing satellite utilization in NOAA numerical modeling systems. Bulletin of American Meteorological Society. Vol. 98. Published, 01/12/2017.
    http://dx.doi.org/10.1175/BAMS-D-14-00188.1
  • Zhang S., Pu Z., Posselt D. & Atlas R. (2017). Impact of CYGNSS ocean surface wind speeds on numerical simulations of a hurricane in observing system simulation experiments. (pp. 375-383). Vol. 34. Journal of Atmospheric and Oceanic Technology. Published, 01/01/2017.
  • Pu, Z., 2017: Surface data assimilation and near-surface weather prediction over complex terrain. Book Chapter, "Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)", Ed. By S.K. Park and L. Xu, Speinger. pp.219-240. Published, 01/2017.
  • Pu, Z., L. Zhang, S. Zhang, B. Gentry, D. Emmitt, B. Demoz, R. Atlas, 2017: The impact of Doppler wind lidar measurements on high-impact weather forecasting: Regional OSSE and data assimilation studies. Book Chapter, "Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)", Ed. By S. K. Park and L. Xu, Springer, pp.259-283. Published, 01/2017.
  • Pu Z., Zhang S., Tong M. & Tallapragada V., 2016. Influence of the self-consistent regional ensemble background error covariance on hurricane inner-core data assimilation with the GSI-based hybrid system for HWRF. (pp. 4911-4925). Vol. 73. Journal of the Atmospheric Sciences. Published, 12/01/2016.
  • Gultepe I., Fernando H., Pardyjak E., Hoch S., Silver Z., Creegan E., Leo L., Pu Z., De Wekker S. & Hang C. (2016). An Overview of the MATERHORN Fog Project: Observations and Predictability. (pp. 2983-3010). Vol. 173. Pure and Applied Geophysics. Published, 09/01/2016.
  • Pu Z., Chachere C., Hoch S., Pardyjak E. & Gultepe I. (2016). Numerical Prediction of Cold Season Fog Events over Complex Terrain: the Performance of the WRF Model During MATERHORN-Fog and Early Evaluation. (pp. 3165-3186). Vol. 173. Pure and Applied Geophysics. Published, 09/01/2016.
  • Pu Z., Chachere C., Hoch S., Pardyjak E. & Gultepe I. (2016). Numerical Prediction of Cold Season Fog Events over Complex Terrain: the Performance of the WRF Model During MATERHORN-Fog and Early Evaluation. (pp. 3165-3186). Vol. 173. Pure and Applied Geophysics. Published, 09/01/2016.
  • Fernando, H. J. S., E. R. Pardyjak, S. Di Sabatino, F. K. Chow, S. F. J. De Wekker, S. W. Hoch, J. Hacker, J. C. Pace, T. Pratt, Z. Pu , W. J. Steenburgh, C. D. Whiteman, Y. Wang, D. Zajic, B. Balsley, R. Dimitrova, G. D. Emmitt, C. W. Higgins, J. C. R. Hunt, J. C. Knievel, D. Lawrence, Y. Liu, D. F. Nadeau, E. Kit, B. W. Blomquist, P. Conry, R. S. Coppersmith, E. Creegan, M. Felton, A. Grachev, N. Gunawardena, C. Hang, C. M. Hocut, G. Huynh, M. E. Jeglum, D. Jensen, V. Kulandaivelu, M. Lehner, L. S. Leo, D. Liberzon, J. D. Massey, K. McEnerney, S. Pal, T. Price, M. Sghiatti, Z. Silver, M. Thompson, H. Zhang, and T. Zsedrovits, 2015: The MATERHORN - Unraveling the intricacies of mountain weather. Bull. Amer. Meteor. Soc.,96, 1945-1967. Published, 11/30/2015.
  • Hodges, D.*, and Z. Pu, 2015: The climatology, frequency, and distribution of cold season fog events in northern Utah. Pure and Applied Geophysics. http://link.springer.com/article/10.1007/s00024-015-1187-6. Published, 11/30/2015.
  • Pu, Z. , and C. Lin*, 2015: Evaluation of double-moment representation of ice hydrometeors in bulk microphysical parameterization: Comparison between WRF numerical simulations and UND-Citation data during MC3E, Geoscience Letters, 2015, 2:11. DOI: 10.1186/s40562-015-0028-x. Published, 10/31/2015.
  • Thatcher, L*., and Z. Pu, 2014: Characteristics of tropical cyclone genesis forecasts and underdispersion in high-resolution ensemble forecasting with a stochastic kinetic energy backscatter scheme. Tropical Cyclone Research and Review, 3(4):203-217. Published, 03/31/2015.
  • Li, Z. and Z. Pu, 2014: Numerical simulations of the genesis of Typhoon Nuri (2008): Sensitivity to initial conditions and implications for the roles of intense convection and moisture conditions. Wea. Forecasting. 53, 2325-2343. Published, 12/2014.
    http://dx.doi.org/10.1175/JAMC-D-14-0046.1
  • Li, Z., and Z. Pu , J. Sun and W-C. Lee, 2014: Impacts of 4D-VAR Assimilation of Airborne Doppler Radar Observations on Numerical Simulations of the Genesis of Typhoon Nuri (2008). J. Appl. Meteor. Clim., 53, 2325-2343. Published, 10/2014.
    http://dx.doi.org/10.1175/WAF-D-14-00003.1
  • Zhang, H. and Z. Pu , 2014: Influence of assimilating surface observations on the prediction of landfalls of Hurricane Katrina (2005) with ensemble Kalman filter. Mon. Wea. Rev., 142, 2915-2934. Published, 08/2014.
    http://dx.doi.org/10.1175/MWR-D-14-00014.1
  • Wayman E. Baker, Robert Atlas, Carla Cardinali, Amy Clement, George D. Emmitt, Bruce M. Gentry, R. Michael Hardesty, Erland Källén, Michael J. Kavaya, Rolf Langland, Zaizhong Ma, Michiko Masutani, Will McCarty, R. Bradley Pierce, Zhaoxia Pu, Lars Peter Riishojgaard, James Ryan, Sara Tucker, Martin Weissmann, and James G. Yoe, 2014: Lidar Measured Wind Profiles: The Missing Link in the Global Observing System. Bull. Amer. Meteor. Soc., 95, 543–564. Published, 08/2014.
    http://dx.doi.org/10.1175/BAMS-D-12-00164.1
  • Duan, H.-X., Y.-H. Li, and Z. Pu, 2013: An application of assimilated dust concentration data and AMSU Satellite radiance data in GRAPES_SDM model. Journal of Desert Research, 4. 1150-1159. Published, 12/2013.
  • Thatcher, L. and Z. Pu , 2013: Evaluation of tropical cyclone genesis precursors with relative operating characteristics (ROC) in high-resolution ensemble forecasts: Hurrican Ernesto. Tropical Cyclone Research and Review, 2 (3): 131-148. Published, 09/30/2013.
    http://tcrr.typhoon.gov.cn/EN/10.6057/2013TCRR03.0...
  • Zhang, H., Z. Pu and X. Zhang, 2013: Examination of errors in near-surface temperature and wind from WRF numerical simulations in regions of complex terrain. Wea. Forecasting. 28,893-914. Published, 06/30/2013.
    http://journals.ametsoc.org/doi/abs/10.1175/WAF-D-...
  • Wei, L., Z. Pu, and S. Wang, 2013: Numerical simulation of the life cycle of a persistent wintertime inversion over Salt Lake City. Boundary Layer Meteorology, 148, 399-418. DOI 10.1007/s10546-013-9821-2. Published, 06/20/2013.
    http://www.inscc.utah.edu/~pu/mypaper/WEI_Pu_2013_...
  • Pu, Z., H. Zhang, and J. A. Anderson, 2013: Ensemble Kalman filter assimilation of near-surface observations over complex terrain: Comparison with 3DVAR for short-range forecasts. Tellus A, 65, 19620.. Published, 03/22/2013.
    http://www.tellusa.net/index.php/tellusa/article/v...
  • Luo, J., W. Tian, Z. Pu, P. Zhang, L. Shang, M. Zhang, J. Hu, 2013: Characteristics of Stratosphere-troposphere Exchange During the Meiyu Season. J. Geophy. Res., 118, doi:10.1029/2012JD018124. Published, 02/23/2013.
    http://onlinelibrary.wiley.com/doi/10.1029/2012JD0...
  • Thatcher, L.,Y. Takayabu, C. Yokoyama, Z. Pu, 2012: Characteristics of tropical cyclone precipitation features over the western Pacific warm pool region. J. Geophy. Res., 117, D16208, doi:10.1029/2011JD017351. Published, 08/2012.
    http://www.agu.org/journals/jd/jd1216/2011JD017351...
  • Zhang L., Z. Pu, W.-C. Lee, and Q. Zhao, 2012: The influence of airborne Doppler radar data quality control on numerical simulations of a tropical cyclone. Weather and Forecasting. 27, 231-239. Published, 02/2012.
    http://journals.ametsoc.org/doi/abs/10.1175/WAF-D-...
  • Zhang L., and Z. Pu, 2011: Four-dimensional Assimilation of Multi-time Wind Profiles Over a Single Station and Numerical Simulation of a Mesoscale Convective System Observed During IHOP_2002 Mon. Wea. Rev. , 139, 3369-3388. Published, 11/2011. Published, 11/2011.
    http://journals.ametsoc.org/doi/abs/10.1175/2011MW...
  • Zhang L., and Z. Pu, 2011: Four-dimensional Assimilation of Multi-time Wind Profiles Over a Single Station and Numerical Simulation of a Mesoscale Convective System Observed During IHOP_2002 Mon. Wea. Rev. , 139, 3369-3388. Published, 11/2011.
    http://journals.ametsoc.org/doi/abs/10.1175/2011MW...
  • Ma, M., Z. Pu, S. Wang and Q. Zhang, 2011: Characteristics and numerical simulations of extremely large atmospheric boundary-layer heights over an arid region in north-west China. Boundary Layer Meteorology ,140,163-176, DOI:10.1007/s10546-011-9608-2. Published, 05/30/2011. Published, 05/30/2011.
    http://link.springer.com/article/10.1007%2Fs10546...
  • Ma, M., Z. Pu, S. Wang and Q. Zhang, 2011: Characteristics and numerical simulations of extremely large atmospheric boundary-layer heights over an arid region in north-west China. Boundary Layer Meteorology ,140,163-176, DOI:10.1007/s10546-011-9608-2. Published, 05/30/2011.
    http://www.springerlink.com/content/bh2427148v6625...
  • Thatcher, L. and Z. Pu, 2011: How vertical wind shaer affacts tropical cyclone intensity change: An overview. Recent Hurricane Research - Climate, Dynamics, and Societal Impacts, Anthony Lupo (Ed.), ISBN: 978-953-307-238-8, InTech.  . Published, 04/30/2011.
    http://www.intechopen.com/articles/show/title/how-...
  • Pu, Z., 2011: Improving Hurricane Intensity Forecasting through Data Assimilation: Environmental Conditions Versus the Vortex Initialization, Recent Hurricane Research- Climate, Dynamics, and Societal Impacts, Anthony Lupo (Ed.), ISBN: 978-953-307-238-8, InTech  . Published, 04/30/2011.
    http://www.intechopen.com/articles/show/title/impr...
  • Snyder, A., Z. Pu , and C. A. Reynolds, 2011: Impact of stochastic convection on ensemble forecasts of tropical cyclone development. Mon. Wea. Rev., 139, 620-626. Published, 04/2011.
    http://journals.ametsoc.org/doi/pdf/10.1175/2010MW...
  • A special issue, "Advanced Data Assimilation and Predictability Studies on High-Impact Weather and Climate", edited by Zhaoxia Pu, Song-Yong Hong, Henry Juang and Yaohui Li, Published in " Advances in Meteorology". Published, 01/2011.
  • Pu, Z., and L. Zhang, 2010: Validation of AIRS temperature and moisture profiles over tropical oceans and their impact on numerical simulations of tropical cyclones, J. Geophys. Res., 115, D24114, doi:10.1029/2010JD014258. Published, 12/2010.
    http://www.agu.org/pubs/crossref/2010/2010JD014258...
  • Snyder, A., Z. Pu and Y. Zhu, 2010: Tracking and verification of East Atlantic tropical cyclone genesis in NCEP global ensemble: Case studies during NASA African monsoon multi-disciplinary analyses. Wea. Forecasting, 25, 1397-1411. Published, 10/2010.
    http://journals.ametsoc.org/doi/abs/10.1175/2010WA...
  • Zhang, H. and Z. Pu, 2010: Beating the uncertainties: Ensemble forecasting and ensemble based data assimilation (review article), Advances in Meteorology, Vol. 2010, Article ID 432160, 10pp., doi:10.1155/2010/432160. Published, 06/2010.
    http://www.hindawi.com/journals/amet/2010/432160.h...
  • Zhang, L. and Z. Pu, 2010: An Observing System Simulation Experiment (OSSE) to assess the impact of Doppler wind lidar (DWL) measurements on the numerical simulation of a tropical cyclone, Advances in Meteorology, Vol. 2010, Article ID 743863, 14pp, doi:10.1155/2010/743863. Published, 04/2010.
    http://www.hindawi.com/journals/amet/2010/743863.c...
  • Pu, Z., L. Zhang and G. D. Emmitt, 2010: Impact of airborne Doppler Wind Lidar data on numerical simulation of a tropical cyclone. Geophys. Res. Lett., 37, L055801, doi:10.1029/2009GL041765. Published, 03/2010.
    http://www.agu.org/journals/gl/gl1005/2009GL041765...
  • Pu Z, X. Li and J. Sun, 2009: Impact of airborne Doppler radar data assimilation on the numerical simulation of intensity changes of Hurricane Dennis near a landfall. J. Atmos. Sci., 66, 3351-3365. Published, 11/01/2009.
    http://ams.allenpress.com/perlserv/?request=get-ab...
  • Pu, Z., X. Li and E. Zipser, 2009: Diagnosis of the initial and forecast errors in the numerical simulation of the rapid intensification of Hurricane Emily (2005). Wea. Forecasting, 24, 1236-1251. Published, 10/15/2009.
    http://ams.allenpress.com/perlserv/?request=get-ab...
  • Wang, J., J. Feng, L. Yang, J. Guo, Z. Pu, 2009: Runoff-denoted drought index and its relationship to the yields of spring wheat in the arid area of Hexi corridor, Northwest China. Agricultural Water Management, 96, 666-676. Published, 07/01/2009.
  • Li, X. and Z. Pu, 2009: Sensitivity of numerical simulations of the early rapid intensification of Hurricane Emily (2005) to cumulus parameterization schemes in different model grid resolutions. J. Meteorol. Soc. Japan, 87, 403-421. Published, 06/01/2009.
    http://ams.allenpress.com/perlserv/?request=get-ab...
  • Pu, Z. 2009: Book review: “Eye to the sky: Exploring our atmosphere", Bull Amer. Meteorol. Soc.. 90, 541-542. Published, 04/01/2009.
  • Pu, Z., J. Hacker, 2009: Ensemble-based Kalman filters in strongly nonlinear dynamics. Advances in Atmos. Sci., 26, 373-380. Published, 04/01/2009.
    http://www.springerlink.com/content/tx826062330160...
  • Pu, Z. and L. Xu, 2009: MODIS/Terra Observed Snow Cover Over the Tibet Plateau: Distribution, Variation and Possible Connection with the East Asian Summer Monsoon (EASM) , Theor. Appl. Climatol. 97, 265-278. Published, 03/01/2009.
  • Pu, Z. 2009: Assimilation of satellite data in improving numerical simulations of tropical cyclones: progress, challenge and development. Data Assimilation for Atmospheric, Oceanic, and Hydrologic Applications”, Ed. by S.K. Park and L. Xu, The Springer-Verlag, P.163-176. Published, 01/03/2009.