GPM Refereed Publications
Levizzani, V., and E. Cattani,
: Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate. Remote Sensing, 11(19), 2301, doi:10.3390/rs11192301.
Levizzani, V., C. Kidd, D. B. Kirschbaum, C. D. Kummerow, K. Nakamura, and F. J. Turk,
: Satellite Precipitation Measurement: Volume 1. Advances in Global Change Research , 67, 450, doi:978-3-030-24568-9.
Levizzani, V., C. Kidd, D. B. Kirshbaum, C. D. Kummerow, K. Nakamura, and F. J. Turk,
: Satellite Precipitation Measurement: Volume 2. Springer Academic Publishers, V. Levizzani (Ed). Advances in Global Change Research, 69, 725, doi:978-3-030-35798-6.
Levizzani, V., C. Kidd, K. Aonashi, R. Bennartz, R. Ferraro, G. J. Huffman, R. Roca, F. J. Turk, and N.-Y. Wang,
: The activities of the international precipitation working group. Quarterly Journal of the Royal Meteorological Society, 144(S1), 3-15, doi:10.1002/qj.3214.
Li, H., Y. Hong, P. Xie, J. Gao, Z. Niu, P. E. Kirstetter, B. Yong,
: Variational merged of hourly gauge-satellite precipitation in China: Preliminary results. J. Geophy. Res. Atmos., 120, 9897–9915, doi:10.1002/2015JD023710.
Li, L., G. Heymsfield, J. Carswell, D. H. Schaubert, M. L. McLinden, J. Creticos, M. Perrine, M. Coon, J. I. Cervantes, M. Vega, S. Guimond, L. Tian, and A. Emory,
: The NASA High-Altitude Imaging Wind and Rain Airborne Profiler. IEEE Transactions on Geoscience and Remote Sensing, 54, 298-310, doi:10.1109/TGRS.2015.2456501.
Li, R., C. Guilloteau, P. E. Kirstetter, and E. Foufoula-Georgiou,
: How well does the IMERG satellite precipitation product capture the timing of precipitation events?. J. Hydrology, 620 Part B, 129563, doi:10.1016/j.jhydrol.2023.129563.
Li, R., C. Guilloteau, P. E. Kirstetter, and E. Foufoula‐Georgiou,
: A New Event-Based Error Decomposition Scheme for Satellite Precipitation Products. Geophys. Res. Lett., 50(22), e2023GL105343, doi:10.1029/2023GL105343.
Li, R., J. Shi, D. Ji , T. Zhao, V. Plermkamon, S. Moukomla, K. Kuntiyawichai, and J. Kruasilp,
: Evaluation and Hydrological Application of TRMM and GPM Precipitation Products in a Tropical Monsoon Basin of Thailand. Water, 11(4), 818, doi:10.3390/w11040818.
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, 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., 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, 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., 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 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., 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.