GPM Refereed Publications
Liao, L., R. Meneghini, and A. Tokay,
: Uncertainties of GPM DPR Rain Estimates Caused by DSD Parameterizations. J. Appl. Meteor. Climatol., 53, 2524-2537, doi:10.1175/JAMC-D-14-0003.1.
Liao, L., R. Meneghini, and A. Tokay,
: Retrieval of snow properties for Ku- and Ka-band dual-frequency radar. J. Appl. Meteorol. Climatol., 55, 1845-1858, doi:10.1175/JAMC-D-15-0355.1.
Liao, L., R. Meneghini, T. Iguchi, and A. Detwiler,
: Use of dual-wavelength radar for snow parameter estimates. J. Atmos. Oceanic. Technol., 22, 1494-1506, doi:10.1175/JTECH1808.1.
Liao, L., R. Meneghini, T. Iguchi, and A. Tokay,
: Characteristics of DSD Bulk Parameters: Implication for Radar Rain Retrieval. atmosphere, 11(6), 670, doi:10.3390/atmos11060670.
Libertino, A., A. Sharma, V. Kalshmi, and P. Claps,
: A global assessment of the timing of extreme rainfall from TRMM and GPM for improving hydrologic design. Environ. Res. Lett., 11, 054003, doi:10.1088/1748-9326/11/5/054003.
Lin, L.-F., A. M. Ebtehaj, A. N. Flores, S. Bastola, and R. L. Bras,
: Combined Assimilation of Satellite Precipitation and Soil Moisture: A Case Study Using TRMM and SMOS Data. Mon. Wea. Rev., 145(12), 4997–5014, doi:10.1175/MWR-D-17-0125.1.
Lin, L.-F., A. M. Ebtehaj, R. L. Bras, A. N. Flores, and J. Wang,
: Dynamical Precipitation Downscaling for Hydrologic Applications Using WRF 4D-Var Data Assimilation: Implications for GPM Era. J. Hydrometeor., 16, 811-829, doi:10.1175/JHM-D-14-0042.1.
Liu, C., and E. J. Zipser,
: The global distribution of largest, deepest, and most intense precipitation systems. Geophys. Res. Lett., 42, 3591-3595, doi:10.1002/2015GL063776.
Liu, C., J. Alexander, J. Bacmeister, and J. H. Richter,
: Using TRMM Latent Heat as a Source to Estimate Convection Induced Gravity Wave Momentum Flux in the Lower Stratosphere. J. Geophys. Res., 127(1), e2021JD035785, doi:10.1029/2021JD035785.
Liu, C., L. Jorgensdottir, P. Walter, G. Morris, J. Flynn, and P. Kucera,
: On the Detection of Icing Conditions at Altitude in Conjunction with Mesoscale Convective Complexes Using Balloon Sondes. Mon. Wea. Rev., 151(9), 2397–2412, doi:10.1175/MWR-D-23-0062.1.
Liu, G.,
: A database of microwave single-scattering properties for nonspherical ice particles. Bull. Amer. Meteor. Soc., 89, 1563-1570, doi:10.1175/2008BAMS2486.1.
Liu, G., and E.-K. Seo,
: Detecting snowfall over land by satellite high-frequency microwave observations: The lack of scattering signature and a statistical approach. J. Geophys. Res., 118, 1376-1387, doi:10.1002/jgrd.50172.
Liu, N., and C. Liu,
: Global distribution of deep convection reaching tropopause in 1 year GPM observations. J. Geophys. Res., 121, 3824-3842, doi:10.1002/2015JD024430.
Liu, N., and C. Liu,
: Synoptic environments and characteristics of convection reaching the tropopause over Northeast China. Mon. Wea. Rev., 146, 745-759, doi:10.1175/MWR-D-17-0245.1.
Liu, N., C. Liu, and L. Hayden,
: Climatology and Detection of Overshooting Convection From 4 Years of GPM Precipitation Radar and Passive Microwave Observations. JGR Atmospheres, 125(7), e2019JD032003, doi:10.1029/2019JD032003.
Liu, N., C. Liu, and P. Tissot,
: Relative Importance of Large-Scale Environmental Variables to the World-Wide Variability of Thunderstorms. J. Geophys. Res., 127, e2021JD036065, doi:10.1029/2021JD036065.
Liu, N., C. Liu, and P. Tissot,
: A Bayesian-like approach to describe the regional variation of high-flash rate thunderstorms from thermodynamic and kinematic environment variables. J. Geophys. Res., 124(23), 12507–12522, doi:10.1029/2019JD031254.
Liu, N., C. Liu, and T. Lavigne,
: The variation of the intensity, height and size of precipitation systems along with EL Nino-Southern Oscillation in the tropics and subtropics. J. Climate, 32, 4281–4297, doi:10.1175/JCLI-D-18-0766.1.
Liu, N., C. Liu, B. Chen, and E. Zipser,
: What Are the Favorable Large-Scale Environments for the Highest-Flash-Rate Thunderstorms on Earth?. J. Atmos. Sci., 77(5), 1583–1612, doi:10.1175/JAS-D-19-0235.1.
Liu, Y.-C., J. Fan, G. J. Zhang, K.-M. Xu, and S. J. Ghan,
: Improving representation of convective transport for scale-aware parameterization: 2. Analysis of cloud-resolving model simulations. J. Geophys. Res., 120, 3510-3532, doi:10.1002/2014JD022145.