GPM Refereed Publications
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.
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.
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.
Majurec, N., J. T. Johnson, S. Tanelli, and S. L. Durden,
: Ku and Ka-band near nadiral normalized radar cross section of the sea surface: Comparison of measurements and models. IEEE Trans. Geosci. Remote Sens., 52, 5320-5332, doi:.
Malamos, N., T. Iliopoulou, P. Dimitriadis, and D. Koutsoyiannis,
: Comparative Analysis of IMERG Satellite Rainfall and Elevation as Covariates for Regionalizing Average and Extreme Rainfall Patterns in Greece by Means of Bilinear Surface Smoothing. Geosciences, 15(6), 212, doi:10.3390/geosciences15060212.
Mamalakis, A. and E. Foufoula-Georgiou ,
: A multivariate probabilistic framework for tracking the intertropical convergence zone: Analysis of recent climatology and past changes. Geophys. Res. Letts., 45(23), 13,080-13,089, doi:10.1029/2018GL079865.
Mamalakis, A., A. AghaKouchak, J. T. Randerson, and E. Foufoula-Georgiou,
: Hotspots of Predictability: Identifying Regions of High Precipitation Predictability at Seasonal Timescales From Limited Time Series Observations. Water Resources Research, 58(5), e2021WR031302, doi:10.1029/2021WR031302.
Mamalakis, A., J. T. Randerson, J.-Y. Yu, M. S. Pritchard, G. Magnusdottir, P. Smyth, P. A. Levine, S. Yu, and E. Foufoula-Georgiou,
: Zonally contrasting shifts of the tropical rain belt in response to climate change. Nature Climate Change, 11, 143–151, doi:10.1038/s41558-020-00963-x.
Mamalakis, A., J.-Y. Yu, J. T. Randerson, A. AghaKouchak, and E. Foufoula-Georgiou,
: Reply to: A critical examination of a newly proposed interhemispheric teleconnection to Southwestern US winter precipitation. Nature Communications, 10, 2918 (2019), doi:10.1038/s41467-019-10531-3.
Mamalakis, A., J.-Y. Yu, J.T. Randerson, A. AghaKouchak, and E. Foufoula-Georgiou,
: A new interhemispheric teleconnection increases predictability of winter precipitation in southwestern US. Nature Communications, 9(1), 2332, doi:10.1038/s41467-018-04722-7.
Mandal, N., P. Das, and K. Chanda,
: Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data. Earth System Science Data, 17(6), 2575–2604, doi:10.5194/essd-17-2575-2025.
Mandement, M., P. E. Kirstetter, H. Reeves,
: Intercomparison between Ground-Based and Spaceborne Radars’ Echo-Top Heights: Application to the Multi-Radar Multi-Sensor and the Global Precipitation Measurement. J. Appl. Meteor. Climatol., 62(8), 917–928, doi:10.1175/JAMC-D-22-0146.1.
Mangla, R., J. Indu, and V. Lakshmi,
: Evaluation of convective storms using spaceborne radars over the Indo-Gangetic Plains and western coast of India. Meteorological Applications, 27(3), e1917, doi:10.1002/met.1917.