GPM Refereed Publications
Ma, Z., J. Xu, K. He, X. Han, Q. Ji, T.C. Wang, W. Xiong, and Y. Hong,
: An updated moving window algorithm for hourly-scale satellite precipitation downscaling: A case study in the Southeast Coast of China. J. Hydrology, 581, 124378, doi:10.1016/j.jhydrol.2019.124378.
Ma, Z., J. Xu, S. Zhu, J. Yang, G. Tang, Y. Yang, Z. Shi, and Y. Hong,
: AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE. Earth System Science Data, 12(3), 1525–1544, doi:10.5194/essd-12-1525-2020.
Ma, Z., Jintao Xu, Y. Ma, S. Zhu, K. He, S. Zhang, W. Ma, and X. Xu,
: AERA5-Asia: A Long-Term Asian Precipitation Dataset (0.1°, 1-hourly, 1951–2015, Asia) Anchoring the ERA5-Land under the Total Volume Control by APHRODITE. Bull. Amer. Meteor. Soc., 103(4), E1146–E1171, doi:10.1175/BAMS-D-20-0328.1.
Ma, Z., K. He, X. Tan, J. Xu, W. Fang, Y. He, and Y. Hong,
: Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau. Rem. Sens., 10(12), 1883, doi:10.3390/rs10121883.
Ma, Z., R. Yao, P. Sun, Z. Zhuang, C. Ge, Y. Zou, and Y. Lv,
: Quantitative Evaluation of Runoff Simulation and Its Driving Forces Based on Hydrological Model and Multisource Precipitation Fusion. Land, 12(3), 636, doi:10.3390/land12030636.
Ma, Z., S. Zhang, Q. Liu, Y. Feng, Q. Guo, and H. Zhao,
: Using CYGNSS and L-Band Radiometer Observations to Retrieve Surface Water Fraction: A Case Study of the Catastrophic Flood of 2022 in Pakistan. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-17, doi:10.1109/TGRS.2024.3367491.
Ma, Z., X. Tan, Y. Yang, X. Chen, G. Kan, X. Ji, H. Lu, J. Long, Y. Cui, and Y. Hong,
: The First Comparisons of IMERG and the Downscaled Results Based on IMERG in Hydrological Utility over the Ganjiang River Basin. Water, 10(10), 1392, doi:10.3390/w10101392.
Ma, Z., Y. Lin, J. Fei, Y. Zheng, W. Chu, and H, Ye,
: Strengthening cold wakes lead to decreasing trend of tropical cyclone rainfall rates relative to background environmental rainfall rates. npj Climate and Atmospheric Science, 6(1), 131, doi:10.1038/s41612-023-00460-w.
Machado, L. A., and Y. Hong,
: The Chuva Project: How Does Convection Vary across Brazil?. Bull. Amer. Meteor. Soc., 95, 1365-1380, doi:10.1175/BAMS-D-13-00084.1.
Maggioni, V. and C. Massari,
: On the performance of satellite precipitation products in riverine flood modeling: A review. J. Hydrology, 558, 214–224, doi:10.1016/j.jhydrol.2018.01.039.
Maggioni, V., C. Massari, and C. Kidd,
: Chapter 13 - Errors and uncertainties associated with quasiglobal satellite precipitation products. Precipitation Science, , 377-390, doi:10.1016/B978-0-12-822973-6.00023-8.
Maggioni, V., M. R. P. Sapiano, R. F. Adler, Y. Tian, and G. J. Huffman,
: An Error Model for Uncertainty Quantification in High-Time-Resolution Precipitation Products. J. Hydrometeor., 15, 1274-1292, doi:10.1175/JHM-D-13-0112.1.
Maghsood, F. F., Hashemi, H., Hosseini, S. H., and Berndtsson, R.,
: Ground Validation of GPM IMERG Precipitation Products over Iran. Rem. Sens., 12(1), 48, doi:10.3390/rs12010048.
Magi, B. I., T. Winesett, and D. J. Cecil,
: Estimating lightning from microwave remote sensing data. J. Appl. Meteor. Climatol., 55, 2021-2036, doi:10.1175/JAMC-D-15-0306.1.
Mahakur, M., S. Shige, and M. Hirose,
: Chapter 1 - Multi-scale manifestation of tropical precipitation as evidenced from recent satellite observations. Multi-Scale Precipitation Variability Over the Tropics, , 1-33, doi:https://linkinghub.elsevier.com/retrieve/pii/B9780443140303000012.
Maharaj, A., and T. Munasinghe,
: Investigating the Relationship Between High-Latitude Dust and Precipitation. 2020 IEEE International Conference on Big Data (Big Data), , 3934-3942, doi:10.1109/BigData50022.2020.9377965.
Mahdavi, T.,
: Comparison of Two Products of Satellite Precipitation (TRMM_3B42 v7-3-Hourly—Research Grade) and GPM-IMERG (V06-Half-Hourly—Early) in the East of Lake Urmia, Iran. Journal of the Indian Society of Remote Sensing, 51(1), 43–60, doi:10.1007/s12524-022-01620-w.
Mahmud, H. B., and T. Osawa ,
: Enhanced precipitation prediction through the integration of gauge observations with satellite-based precipitation prediction models utilizing the Bayesian model averaging (BMA) technique in Kelantan, Malaysia. Proceedings Volume 13262, Remote Sensing of the Atmosphere, Clouds, and Precipitation VIII, , 3, doi:10.1117/12.3038111.
Mahmud, M. R., M. Hashim, and M. N. M. Reba,
: How effective is the new generation of GPM satellite precipitation in characterizing the rainfall variability over Malaysia?. Asia-Pacific Journal of Atmospheric Sciences, 53(3), 375–384, doi:10.1007/s13143-017-0042-3.
Mahmud, Mohd. R., A. A. Mohd Yusof, M. N. Mohd Reba, and M. Hashim,
: Mapping the Daily Rainfall over an Ungauged Tropical Micro-Watershed: A Downscaling Algorithm Using GPM Data. Water, 12(6), 1661, doi:10.3390/w12061661.