GPM Refereed Publications
Zhou, Y., J. Wang, E. Grigorieva, K. Li, and H. Xu,
: Performance Evaluation of Multi-Typed Precipitation Products for Agricultural Research in the Amur River Basin over the Sino–Russian Border Region. Rem. Sens., 15(100, 2577, doi:10.3390/rs15102577.
Zhou, Y., K. Nelson, K. I. Mohr, G. J. Huffman, R. Levy, and M. Grecu,
: A Spatial-Temporal Extreme Precipitation Database from GPM IMERG. JGR Atmospheres, 124(19), 10344-10363, doi:10.1029/2019JD030449.
Zhou, Y., R. Yu, Y. Zhang, and J. Li,
: Dynamic and thermodynamic processes related to precipitation diurnal cycle simulated by GRIST. Climate Dynamics, 61, 3935–3953, doi:10.1007/s00382-023-06779-7.
Zhou, Y., R. Yu, Y. Zhang, J. Li, and H. Chen,
: Sensitivity of a Kilometer-Scale Variable-Resolution Global Nonhydrostatic Model to Microphysics Schemes in Simulating a Mesoscale Convective System. Atmospheric Sciences, 42(7), 1333–1348, doi:10.1007/s00376-024-4246-z.
Zhou, Y., S. Wang, and J. Fang,
: Diurnal Cycle and Dipolar Pattern of Precipitation Over Borneo During the MJO: Linear Theory and Nonlinear Sensitivity Experiments. JGR Atmospheres, 128(5), e2022JD037616, doi:10.1029/2022JD037616.
Zhou, Z., D. Lu, B. Yong, Z. Shen, H. Wu, and L. Yu,
: Evaluation of GPM-IMERG Precipitation Product at Multiple Spatial and Sub-Daily Temporal Scales over Mainland China. Rem. Sens., 15(5), 1237, doi:10.3390/rs15051237.
Zhu, H., R. Zhou, H. Zhao, and R. Li,
: The Impact of Air Pollution Control Programs (2014–2019) on the Vertical Structure of Precipitation in China. Geophys. Res. Letts., 52(11), e2024GL113571, doi:10.1029/2024GL113571.
Zhu, J., Q. Zhou, Q. Zhou, X. Geng, J. Shi, X. Guo, Y. Yu, Z. Yang, and R. Fan,
: Interannual variation of coastal upwelling around Hainan Island. Frontiers in Marine Science, 10, 1054669, doi:10.3389/fmars.2023.1054669.
Zhu, S., and Z. Liu,
: Comprehensive quantitative assessment of the performance of fourteen satellite precipitation products over Chinese mainland. Climate Dynamics, 62, 6799–6818, doi:s00382-024-07237-8.
Zhu, S., C. Liu, J. Cao, and T. Lavigne,
: Diurnal Precipitation Features over Complex Terrains along the Yangtze River in China Based on Long-Term TRMM and GPM Radar Products. Remote Sens., 15(13), 3451, doi:10.3390/rs15133451.
Zhu, S., G. Tang, S. Yan, Y. Du, Y. Xu, M. Zhang, M. Chen, H. Li, and Y. Hong,
: A New Approach to Identifying and Analyzing Precipitation Events and Their Typical Lifecycles Over Conterminous United States. Geophys. Res. Letts., 52(14), e2025GL115640, doi:10.1029/2025GL115640.
Zhu, S., X. Wang, D. Jiao, Y. Zhang, and J. Liu,
: Spatial Downscaling of GPM Satellite Precipitation Data Using Extreme Random Trees. Atmosphere, 14(10), 1489, doi:10.3390/atmos14101489.
Zhu, S., Z. Li, M. Chen, Y. Wen, Z. Liu, G. J. Huffman, T. E. Tsoodle, S. C. Ferraro, Y. Wang, and Y. Hong,
: Evaluation of IMERG climate trends over land in the TRMM and GPM eras. Environmental Research Letters, 20(1), 014064, doi:10.1088/1748-9326/ad984e.
Zhu, T., W. Liu, W. Li, C. K. Shum, S. Zhang, and Y. Zhang,
: Exploration of the spatiotemporal evolution characteristics of atmospheric rivers in East Asia in the past decade based on a multidimensional adaptive atmospheric river identification algorithm. Atmos. Res., 330, 108589, doi:10.1016/j.atmosres.2025.108589.
Zhu, W., K. Liu, S. Wang, M. Wang, and S. Liu,
: Estimating the functional impacts associated with rainfall-induced hazards for Chinese railway system: fragility, risk and its uncertainty. Natural Hazards, 120(11), 9585–9607, doi:10.1007/s11069-024-06578-1.
Zhu, X., Q. Li, Y. Zeng, G. Jiao, W. Gu, X. Qiu, and A. Wumaer,
: Refined Spatialization of 10-Day Precipitation in China Based on GPM IMERG Data and Terrain Decomposition Using the BEMD Algorithm. J. Meteor. Res., 37(5), 690–709, doi:10.1007/s13351-023-2171-1.
Zhu, Z., Y. Qi, and D. Li,
: Improving CINRAD Radar QPE Through GPM-DPR Reflectivity Bias Correction. Water Resources Research, 59(9), e2022WR033719, doi:10.1029/2022WR033719.
Zipser, E. J. and C. Liu,
: Extreme Convection vs. Extreme Rainfall: a Global View. Curr. Clim. Change Rep., 7, 121–130, doi:10.1007/s40641-021-00176-0.
Zotta, R.-M., L. Moesinger, R. van der Schalie, M. Vreugdenhil, W. Preimesberger, T. Frederikse, R. de Jeu, and W. Dorigo,
: VODCA v2: multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring. Earth System Science Data, 16(10), 4573–4617, doi:10.5194/essd-16-4573-2024.
Zou, L., and T. Zhou,
: Convection-Permitting Simulations of Current and Future Climates over the Tibetan Plateau. Advances in Atmospheric Sciences, 41, 1901–1916, doi:10.1007/s00376-024-3277-9.