GPM Refereed Publications
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., A. Ye, B. Analui, P. Nguyen, S. Sorooshian, K. Hsu, and Y. Wang,
: Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations. Hydrology and Earth System Sciences, 27(24), 4529–4550, doi:10.5194/hess-27-4529-2023.
Zhang, Y., A. Ye, P. Nguyen, B. Analui, S. Sorooshian, and K. Hsu,
: QRF4P-NRT: Probabilistic Post-Processing of Near-Real-Time Satellite Precipitation Estimates Using Quantile Regression Forests. Water Resources Research, 58(5), e2022WR032117, doi:10.1029/2022WR032117.
Zhang, Y., A. Ye, P. Nguyen, B. Analui, S. Sorooshian, and K. Hsu,
: New Insights Into Error Decomposition for Precipitation Products. Geophys. Res. Letts., 48(17), e2021GL094092, doi:10.1029/2021GL094092.
Zhang, Y., A. Yeg, P. Nguyen, B. Analui, S. Sorooshian, and K. Hsu,
: Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling. Rem. Sens., 13(16), 3061, doi:10.3390/rs13163061.
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., F. Yu, G. Luo, J. Fan, and S. Liu,
: Impacts of long-range-transported mineral dust on summertime convective cloud and precipitation: a case study over the Taiwan region. Atmospheric Chemistry and Physics, 21(23), 17433–17451, doi:10.5194/acp-21-17433-2021.
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., X. Zheng, X. Li, J. Lyu, and L. Zhao,
: Evaluation of the GPM-IMERG V06 Final Run Products for Monthly/Annual Precipitation under the Complex Climatic and Topographic Conditions of China. J. Appl. Meteor. Climatol., 62(8), 929–946, doi:10.1175/JAMC-D-22-0110.1.
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, Y., Y. Huang, H. Xu, S. Wang, T. Long, and Q. Zhao,
: Evaluation of Precipitation Frequency and Intensity as Estimated by the GPM IMERG Precipitation Product at Daily and Hourly Scales over the Tibetan Plateau. Atmosphere, 14(11), 1653, doi:10.3390/atmos14111653.
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.
Zhang, Z., J. Tian, Y. Huang, X. Chen, S. Chen, and Z. Duan,
: Hydrologic Evaluation of TRMM and GPM IMERG Satellite-Based Precipitation in a Humid Basin of China. Rem. Sens., 11, 431, doi:10.3390/rs11040431.
Zhang, Z., X. Yang, L. Shi, B. Wang, Z. Du, F. Zhang, and R. Liu,
: A neural network framework for fine-grained tropical cyclone intensity prediction. Knowledge-Based Systems, 241, 108195, doi:10.1016/j.knosys.2022.108195.