GPM Refereed Publications
Lyu, Y. and B. Yong,
: Using an Explainable Machine Learning Approach to Produce High-Resolution Hourly Precipitation Estimates for a Typical Data-Deficiency Basin. JGR: Machine Learning and Computation, 2(1), e2024JH000489, doi:10.1029/2024JH000489.
M. Le, and V. Chandrasekar,
: An Algorithm for Drop-Size Distribution Retrieval From GPM Dual-Frequency Precipitation Radar. IEEE Transactions, 52(11), , doi:.
M. Le, and V. Chandrasekar,
: Precipitation Type Classification Method for Dual-Frequency Precipitation Radar (DPR) Onboard the GPM. IEEE Transactions, 51(3), 1784-1790, doi:10.1109/TGRS.2012.2205698.
Ma, H., G. Li, C. Zeng, F. Wang, S. Jin, and S. Fu,
: Evolutionary mechanisms of the strong winds associated with an intense cold wave event and their effects on the wind power production. Frontiers in Earth Science, 10, , doi:10.3389/feart.2022.1054037.
Ma, H., J. Zeng, X. Zhang, J. Peng, X. Li, P. Fu, M. H. Cosh, H. Letu, S. Wang, N. Chen, and J.-P. Wigneron,
: Surface soil moisture from combined active and passive microwave observations: Integrating ASCAT and SMAP observations based on machine learning approaches. Remote Sensing of Environment, 308, 114197, doi:10.1016/j.rse.2024.114197.
Ma, H., M. Weiss, D. Malik, B. Berthelot, M. Yebra, R. H. Nolan, A. Mialon, J. Zeng, X. Quan, H. T. Tagesson, A. Olioso, and F. Baret,
: Satellite canopy water content from Sentinel-2, Landsat-8 and MODIS: Principle, algorithm and assessment. Remote Sensing of Environment, 326, 114801, doi:10.1016/j.rse.2025.114801.
Ma, H., X. Cao, X. Ma, H. Su, Y. Jing, and K. Zhu,
: mproving the Wind Power Density Forecast in the Middle- and High-Latitude Regions of China by Selecting the Relatively Optimal Planetary Boundary Layer Schemes. Atmosphere, 13(12), 2034, doi:10.3390/atmos13122034.
Ma, H., X. Li, J. Zeng, X. Zhang, J. Dong, N. Chen, L. Fan, M. Sadeghi, F. Frappart, X. Liu, M. Wang, H. Wang, Z. Fu, Z. Xing, P. Ciais, and J.-P. Wigneron,
: An assessment of L-band surface soil moisture products from SMOS and SMAP in the tropical areas. Remote Sensing of Environment, 284, 113344, doi:10.1016/j.rse.2022.113344.
Ma, J., J. Zhou, T. Zhang, W. Tang, Y. Liao, and M. Yang,
: Non-negligible clear-sky biases of satellite thermal infrared observations for analyzing surface urban heat island intensity: A case study in China. Science of The Total Environment, 949, 174928, doi:10.1016/j.scitotenv.2024.174928.
Ma, J., Y. Yu, W. Han, D. Zhao, and X. Yao,
: Elevation-Dependency of Diurnal Variation of Precipitation in Boreal Summer and Its Probable Response to Global Warming. Geophys. Res. Letts., 52(12), e2025GL115704, doi:10.1029/2025GL115704.
Ma, Q., Y. Li, F. Liu, H. Feng, A. Biswas, and Q. Zhang,
: SPEI and multi-threshold run theory based drought analysis using multi-source products in China. J. Hydrology, 616, 128737, doi:10.1016/j.jhydrol.2022.128737.
Ma, Q., Y. Li, H. Feng, Q. Yu, Y. Zou, F. Liu, and B. Pulatov,
: Performance evaluation and correction of precipitation data using the 20-year IMERG and TMPA precipitation products in diverse subregions of China. Atmos. Res., 249, 105304, doi:10.1016/j.atmosres.2020.105304.
Ma, W. M., G. Chen, B. Guan, C. A. Shield, B. Tian, and E. Yanez,
: Evaluating the Representations of Atmospheric Rivers and Their Associated Precipitation in Reanalyses With Satellite Observations. J. Geophys. Res., 128(22), e2023JD038937, doi:10.1029/2023JD038937.
Ma, W., G. Chen, and B. Guan,
: Poleward Shift of Atmospheric Rivers in the Southern Hemisphere in Recent Decades. Geophys. Res. Letts., 47(21), e2020GL089934, doi:10.1029/2020GL089934.
Ma, X., L. Zhao, J. Sun, J. Chen, Y. Wang, J. Zhou, J. Liu, H. Lu, and K. Yang,
: Optimization of key land surface albedo parameter reduces wet bias of climate modeling for the Tibetan Plateau. Science China Earth Sciences, 68, 2653–2662, doi:10.1007/s11430-025-1635-0.
Ma, Y., G. Tang, D. Long, B. Yong, L. Zhong, W. Wan, and Y. Hong,
: Similarity and Error Intercomparison of the GPM and Its Predecessor-TRMM Multisatellite Precipitation Analysis Using the Best Available Hourly Gauge Network over the Tibetan Plateau. Remote Sens., 8, 569, doi:10.3390/rs8070569.
Ma, Y., S. Weldeab, R. R. Schneider, N. Andersen, D. Garbe-Schönberg, and T. Friedrich,
: Strong Southern African Monsoon and weak Mozambique Channel throughflow during Heinrich events: Implication for Agulhas leakage. Earth and Planetary Science Letters, 574, 117148, doi:10.1016/j.epsl.2021.117148.
Ma, Y., V. Chandrasekar, and S. K. Biswas,
: A Bayesian Correction Approach for Improving Dual-frequency Precipitation Radar Rainfall Rate Estimates. J. Meteor. Soc. Japan, 98(3), 511-525, doi:10.2151/jmsj.2020-025.
Ma, Y., X. Sun, H. Chen, Y. Hong, and Y. Zhang,
: A two-stage blending approach for merging multiple satellite precipitation estimates and rain gauge observations: an experiment in the northeastern Tibetan Plateau. Hydrology and Earth System Sciences, 25(1), 359–374, doi:10.5194/hess-25-359-2021.
Ma, Z., J. Xu, B. Dong, X. Hu, H. Hu, S. Yan, S. Zhu, K. He, Z. Shi, Y. Chen, X. Fang, Q. Zhang, S. Gu, and F. Weng,
: GMCP: A Fully Global Multisource Merging-and-Calibration Precipitation Dataset (1-Hourly, 0.1°, Global, 2000–the Present). Bull. Amer. Meteor. Soc., 106(4), E596–E624, doi:10.1175/BAMS-D-24-0051.1.