GPM Refereed Publications
Lyu, F., G. Tang, A. Behrangi, T. Wang, X. Tan, Z. Ma, and W. Xiong ,
: Precipitation Merging Based on the Triple Collocation Method Across Mainland China. IEEE Transactions on Geoscience and Remote Sensing, 59(4), 3161-3176, doi:10.1109/TGRS.2020.3008033.
Lv, P., and G. Wu,
: The Performance of GPM IMERG Product Validated on Hourly Observations over Land Areas of Northern Hemisphere. Rem. Sens., 16(22), 4334, doi:10.3390/rs16224334.
Luo, Z., S. Zhang, Q. Shao, L. Wang, S. Wang, L. Wang,
: A new method to improve precipitation estimates by blending multiple satellite/reanalysis-based precipitation products and considering observations and terrestrial water budget balance. J. Hydrology, 635, 131188, doi:10.1016/j.jhydrol.2024.131188.
Luo, Z., H. Yu, H. Liu, and J. Chen,
: Assessing the Water Budget Closure Accuracy of Satellite/Reanalysis-Based Hydrological Data Products over Mainland China. Rem. Sens., 15(21), 5230, doi:10.3390/rs15215230.
Luna-Niño, R., C. M. Naud, A. Gershunov, J. A. Crespo, D. J. Posselt, and L. Delle Mon,
: Convection Embedded in an Atmospheric River: Exploring Precipitation Sensitivity to Convective Parameterizations. Mon. Wea. Rev., 154(1), 3–20, doi:10.1175/MWR-D-25-0087.1.
Lucchese, L. V., G. G. De Oliveira, O. C. Pedrollo, and A. Brenning,
: Spatially distributed antecedent rainfall thresholds for landslide occurrence: a multitask machine learning modelling approach. Hydrological Sciences Journal, 70(15), 2785-2798, doi:10.1080/02626667.2025.2561163.
Lubis, S. W., S. Hagos, E. Hermawan, M. R. Respati, A. Ridho, Risyanto, J. A. I. Paski, F. R. Muhammad, Siswanto, D. N. Ratri, S. Setiawan, and D. S. Permana,
: Record-Breaking Precipitation in Indonesia's Capital of Jakarta in Early January 2020 Linked to the Northerly Surge, Equatorial Waves, and MJO. Geophys. Res. Letts., 49(22), e2022GL101513, doi:10.1029/2022GL101513.
Lubis, S. W., S. Hagos, C.-C. Chang, K. Balaguru, and L. R. Leung,
: Cross-Equatorial Surges Boost MJO's Southward Detour Over the Maritime Continent. Geophys. Res. Letts., 50(15), e2023GL104770, doi:10.1029/2023GL104770.
Lu, Y., Y. Li, J. Tang, and Z. Gao,
: Typhoon In-Fa (2021) Near Surface Wind Field Characteristics Based on Lidar Observations. JGR Atmospheres, 130(10), e2024JD043184, doi:10.1029/2024JD043184.
Lu, Y., J. Tang, X. Xu, Y. Tang, and J. Fang,
: Characteristics of Warm-Season Mesoscale Convective Systems Over the Yangtze–Huaihe River Basin (YHR): Comparison Between Radar and Satellite. JGR Atmospheres, 129(1), e2023JD038924, doi:10.1029/2023JD038924.
Lu, Y., J. H. Marsham, J. Tang, D. J. Parker, and J. Fang,
: Summer Mesoscale Convective Systems in Convection-Permitting Simulation Using WRF Over East China. JGR Atmospheres, 130(8), e2025JD043653, doi:10.1029/2025JD043653.
Lu, X.-Y., Y.-Y. Chen, G.-Q. Tang, X.-Q. Wang, Y. Liu, and M. Wei,
: Quantitative estimation of hourly precipitation in the Tianshan Mountains based on area-to-point kriging downscaling and satellite-gauge data merging. J. Mountain Science, 19(1), 58–72, doi:10.1007/s11629-021-6901-5.
Lu, X., S. C. Chan, J. C. H. Fung, and A. K.H. Lau,
: To what extent can the below-cloud washout effect influence the PM2.5? A combined observational and modeling study. Environ Pollut., 251, 338-343, doi:10.1016/j.envpol.2019.04.061.
Lu, X., K. Guan, C. Jiang, L. Gao, S. Wang, and J. Zhang,
: Incorporating changes in land surface temperature improves BESS evapotranspiration estimates under water-deficit conditions: A case study for US Midwest and Great Plains grasslands. J. Hydrology, 645(Part B), 132201, doi:10.1016/j.jhydrol.2024.132201.
Lu, W., X. Liu, H. Liu, and C. Liu,
: Distinct diurnal characteristics of summer precipitation and underlying mechanisms in the Tibetan Plateau and surrounding basins. Climate Dynamics, 62, 9405–9425, doi:10.1007/s00382-024-07338-4.
Lu, J., L. Jia, J. Zhou, M. Jiang, Y. Zhong, and M. Menenti,
: Quantification and Assessment of Global Terrestrial Water Storage Deficit Caused by Drought Using GRACE Satellite Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 5001-5012, doi:10.1109/JSTARS.2022.3180509.
Lu, J., K. Wang, G. Wu, and Y. Mao,
: Evaluation of Multisource Datasets in Characterizing Spatiotemporal Characteristics of Extreme Precipitation from 2001 to 2019 in China. J. Hydrometeorology, 25(3), 515–539, doi:10.1175/JHM-D-23-0162.1.
Lu, J., K. Wang, G. Wu, A. Ye and Y. Mao,
: Inter-product biases in extreme precipitation duration and frequency across China. Environ. Res. Letts., 19(11), 114075, doi:10.1088/1748-9326/ad7f73.
Lu, J., and L. Jia,
: Disaggregating National Statistical Data to Assess the Sub-National SDG 6.4.2 Water Stress Indicator by Integrating Satellite Observations and Model Data. Rem. Sens., 16(10), 1654, doi:10.3390/rs16101654.
Lu, D. and Bin Yong,
: Evaluation and Hydrological Utility of the Latest GPM IMERG V5 and GSMaP V7 Precipitation Products over the Tibetan Plateau . Rem. Sens., 10(12), 2022, doi:10.3390/rs10122022.