GPM Refereed Publications
Zhang, Q., X. Shen, W. Dong, X. Su, Y. Wan, H. Lyu, and T. Song ,
: Hydrological drivers of maize productivity: A new analytical framework. Journal of Hydrology: Regional Studies, 62, 102976, doi:10.1016/j.ejrh.2025.102976.
Zhang, S. Q., T. Matsui, S. Cheung, M. Zupanski, and C. Peters-Lidard,
: Impact of Assimilated Precipitation-Sensitive Radiances on the NU-WRF Simulation of the West African Monsoon . Mon. Wea. Rev., 145, 3881-3900, doi:10.1175/MWR-D-16-0389.1.
Zhang, S., X. Long, L. Liu, F. Wang, Z. Wen, Y. Chen, Z. Li, C. Peng, X. You, and J. Yang,
: Remote sensing–based estimation of monthly CO2 flux in Three Gorges Reservoir drawdown areas. Journal of Environmental Management, 394, 127635, doi:10.1016/j.jenvman.2025.127635.
Zhang, W., G. Ye, J. C.-H. Leung, and B. Zhang,
: Microphysical Characteristics of Summer Precipitation over the Taklamakan Desert Based on GPM-DPR Data from 2014 to 2023. Atmosphere, 16(4), 354, doi:10.3390/atmos16040354.
Zhang, W., H. Wang, X. Zhang, Y.e Peng, Z. Liu, D. Wang, D. Zhang, C. Han, Y. Zhao, J. Zhong, W. Jia, H. Ning, and H. Che ,
: Subgrid-scale aerosol–cloud interaction in the atmospheric chemistry model CMA_Meso5.1/CUACE and its impacts on mesoscale meteorology prediction. Atmos. Chem. Physics, 25(16), 9005–9030, doi:10.5194/acp-25-9005-2025.
Zhang, X., and W. Xu,
: Changes in the Deep Convective Structures of Tropical Cyclones Associated With the Diurnal Pulse. JGR Atmospheres, 129(24), e2024JD041441, doi:10.1029/2024JD041441.
Zhang, X., E. N. Anagnostou, and C. S. Schwartz,
: NWP-Based Adjustment of IMERG Precipitation for Flood-Inducing Complex Terrain Storms: Evaluation over CONUS. Remote Sens., 10, 642, doi:10.3390/rs10040642.
Zhang, X., S. Guo, X. Bao, and W. Xu,
: Diurnal Propagation of Precipitation in Landfalling Tropical Cyclones. JGR Atmospheres, 130(24), e2025JD044440, doi:10.1029/2025JD044440.
Zhang, X., Y. Song, W.-H. Nam, T. Huang, X. Gu, J. Zeng, S. Huang, N. Chen, Z. Yan, and D. Niyogi,
: Data fusion of satellite imagery and downscaling for generating highly fine-scale precipitation. J. Hydrology, 631, 130665, doi:10.1016/j.jhydrol.2024.130665.
Zhang, Y. Y., M. J. Zhang, Q. Q. Du, M. P. Sun, C. W. Che, and B. B. Li,
: Assessment of spatial and temporal variations in precipitation using mixing methods based on multiple precipitation products on the Chinese Loess Plateau. Research in Cold and Arid Regions, , S2097158325000291, doi:10.1016/j.rcar.2025.03.006.
Zhang, Y., and A. Rigden,
: Cascading Spatial Scales in the Hydrological Cycle Over Africa. Geophys. Res. Letts., 52(16), e2025GL117557, doi:10.1029/2025GL117557.
Zhang, Y., and X. Ni,
: Spatiotemporal variability of precipitation characteristics in hailstorm based on the observations of spaceborne precipitation radar. Atmos. Res., 327, 108346, doi:10.1016/j.atmosres.2025.108346.
Zhang, Y., E. E. Clothiaux, and D. J. Stensrud,
: Correlation Structures between Satellite All-Sky Infrared Brightness Temperatures and the Atmospheric State at Storm Scales. Advances in Atmospheric Science, 39, 714-732, doi:10.1007/s00376-021-0352-3.
Zhang, Y., J. Bu, X. Zuo, K. Yu, Q. Wang, and W. Huang,
: Vegetation Water Content Retrieval from Spaceborne GNSS-R and Multi-Source Remote Sensing Data Using Ensemble Machine Learning Methods. Rem. Sens., 16(15), 2793, doi:10.3390/rs16152793.
Zhang, Y., J. Gan, and Q. Yang,
: Spatiotemporal variability of streamflow in the Pearl River Basin: Controls of land surface processes and atmospheric impacts. Hydrological Processes, 38(4), e15151, doi:10.1002/hyp.15151.
Zhang, Y., S. B. Sieron, Y. Lu, X. Chen, R. G. Nystrom, M. Minamide, M.-Y. Chan, C. M. hartman, Z. Yao, J. H. Ruppert Jr., A. Okazaki, S. J. Greybush, E. E. Clothiaux, and F. Zhang,
: Ensemble-Based Assimilation of Satellite All-Sky Microwave Radiances Improves Intensity and Rainfall Predictions for Hurricane Harvey (2017). Geophys. Res. Letts., 48(24), e2021GL096410, doi:10.1029/2021GL096410.
Zhang, Y., X. Chen, and M. M. Bell,
: Improving Short-Term QPF Using Geostationary Satellite All-Sky Infrared Radiances: Real-Time Ensemble Data Assimilation and Forecast during the PRECIP 2020 and 2021 Experiments. Weather and Forecasting, 38(4), 591–609, doi:10.1175/WAF-D-22-0156.1.
Zhang, Y., X. Chen, D. J. Stensrud, and E. E. Clothiaux,
: Enhancing Severe Weather Prediction With Microwave All-Sky Radiance Assimilation: The 10 August 2020 Midwest Derecho. Geophys. Res. Letts., 51(2), e2023GL106602, doi:10.1029/2023GL106602.
Zhang, Y., Y. Gao, L. Xu, Z. Liu, and L. Wu,
: Integrating satellite and reanalysis precipitation products for SWAT hydrological simulation in the Jing River Basin, China. Environmental Science and Pollution Research, 31, 20534–20555, doi:10.1007/s11356-024-32482-z.
Zhang, Z., D. Wang , G. Wang, J. Qiu, and W. Liao,
: Use of SMAP Soil Moisture and Fitting Methods in Improving GPM Estimation in Near Real Time. Rem. Sens., 11(3), 368, doi:10.3390/rs11030368.