GPM Refereed Publications
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.
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.
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.
Liao, M., and A. P. Barros,
: Modeling Celerity-Discharge Behavior and Riverbank Storage for Improving Flood Simulations in Headwater Basins. Water Resources Research, 61(8), e2024WR038446, doi:10.1029/2024WR038446.
Liao, M., and A. P. Barros,
: Toward Optimal Rainfall for Flood Prediction in Headwater Basins—Orographic QPE Error Modeling Using Machine Learning. Water Resources Research, 59(11), e2023WR034456, doi:10.1029/2023WR034456.
Liao, M., and A. P Barros,
: Toward optimal rainfall for flood prediction in headwater basins – improving soil moisture initialization to close the water budget within observational uncertainty. J. Hydrology: Regional Studies, 61, 102700, doi:10.1016/j.ejrh.2025.102700.
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.
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, 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, 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., 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.
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.
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.
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., 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 Get rights and content.
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.