GPM Refereed Publications
Li, X., L. Yang, Z. Tong, and H. Li,
: Analysis of Convective and Stratiform Precipitation Characteristics in Xinjiang, China Based on GPM Dual-Frequency Precipitation Radar. Advances in Meteorology, 2024(1), 8043060, doi:10.1155/2024/8043060.
Li, Y., X. Ma, K. Yan, C. Cao, X. Zhu, and K. Liu,
: Satellite-Observed Greening of Human-Dominated Ecosystems in Global Dryland. J. Remote Sensing, 5, 0941, doi:10.34133/remotesensing.0941.
Li, Z., B. Wen, L. Liao, D. B. Wolff, R. Meneghini, and T. Schuur,
: Joint Collaboration on Comparing NOAA’s Ground-Based Weather Radar and NASA–JAXA’s Spaceborne Radar. Bull. Amer. Meteo. Soc., 127, E1435–E1451, doi:10.1175/BAMS-D-22-0127.1.
Li, Z., D. B. Wright, S. H. Hartke, D. B. Kirschbaum, S. Khan, V. Maggioni, and P. E. Kirstetter,
: Toward a Globally-Applicable Uncertainty Quantification Framework for Satellite Multisensor Precipitation Products Based on GPM DPR. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-15, doi:10.1109/TGRS.2023.3235270.
Li, Z., D. B. Wright, S.Q. Zhang, D. B. Kirschbaum, and S. H. Hartke,
: Object-Based Comparison of Data-Driven and Physics-Driven Satellite Estimates of Extreme Rainfall. J. Hydrometeorology, 21(12), 2759–2776, doi:10.1175/JHM-D-20-0041.1.
Li, Z., G. Tang, P.E. Kirstetter, S. Gao, Y. Hong, J.F. Li, Y. Wen,
: Evaluation of GPM IMERG and its constellations in extreme events over the conterminous united states. J. Hydrology, 606, , doi:10.1016/j.jhydrol.2021.127357.
Li, Z., G. Tang, Z. Hong, M. Chen, S. Gao, P. E. Kirstetter, J. Gourley, Y. Wen, T. Yami, S. Nabih, and Y. Hong,
: Two-decades of GPM IMERG early and final run products intercomparison: Similarity and difference in climatology, rates, and extremes. J. of Hydrology, 594, 125975, doi:10.1016/j.jhydrol.2021.125975.
Li, Z., Q. Liu, and Z. Ma,
: Influences of Graupel Microphysics on CMA-GFS Simulation of Summer Regional Precipitation. J. of Meteorological Research, 38(1), 27–38, doi:10.1007/s13351-024-3068-3.
Li, Z., Y. Wen, M. Schreier, A. Behrangi, Y. Hong, and B. Lambrigtsen,
: Advancing Satellite Precipitation Retrievals With Data Driven Approaches: Is Black Box Model Explainable?. Earth and Space Science, 8(2), e2020EA001423, doi:10.1029/2020EA001423.
Liang, Z., S. Chen, J. Hu, C. Huang, A. Zhang, L. Xiao, Z., and X. Tong,
: Hydrologic Evaluation of Integrated Multi-Satellite Retrievals for GPM over Nanliu River Basin in Tropical Humid Southern China. Water, 11(5), 932, doi:10.3390/w11050932.
Liao, C., W. Gao, L. Tang, and C. Li,
: Long-term characteristics of hydrometeors in stratiform and convective precipitation over central eastern China and adjacent ocean. Atmos. Res., 297, 107089, doi:10.1016/j.atmosres.2023.107089.
Liao, L., and R. Meneghini,
: A Modified Dual-Wavelength Technique for Ku- and Ka-band Radar Rain Retrieval. J. Climate, 58(1), 3-18, doi:10.1175/JAMC-D-18-0037.1.
Liao, L., and R. Meneghini,
: A Study on the Feasibility of Dual-Wavelength Radar for Identification of Hydrometeor Phases. J. Appl. Meteor. Climatol., 50, 449-456, doi:10.1175/2010JAMC2499.1.
Liao, L., and R. Meneghini,
: A dual-wavelength radar technique to detect hydrometeor phases. IEEE Geosci. Remote Sens., 54(12), 7292-7298, doi:10.1109/TGRS.2016.2599022.
Liao, L., and R. Meneghini,
: Physical Evaluation of GPM DPR Single- and Dual-Wavelength Algorithms. J. Atmos. Oceanic Technol., 36(5), 883-902, doi:10.1175/JTECH-D-18-0210.1.
Liao, L., R. Meneghini, A. Tokay, and H. Kim,
: Assessment of Ku- and Ka-band Dual-frequency Radar for Snow Retrieval. J. Meteor. Soc. Japan, 98(6), 1129-1146, doi:10.2151/jmsj.2020-057.
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, 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, 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.