GPM Refereed Publications

Displaying 121 - 140 of 299 Total Publications
Ma, Y., G. Tang, D. Long, B. Yong, L. Zhong, W. Wan, and Y. Hong, 2016: 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.
Machado, L. A., and Y. Hong, 2014: 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., M. R. P. Sapiano, R. F. Adler, Y. Tian, and G. J. Huffman, 2014: 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.
Mamalakis, A. and E. Foufoula-Georgiou, 2018: A Multivariate Probabilistic Framework for Tracking the Intertropical Convergence Zone: Analysis of Recent Climatology and Past Trends. Geophys. Res. Letts., 45(23), 13,080-13,089, doi:10.1029/2018GL079865.
Mamalakis, A., J.-Y. Yu, J.T. Randerson, A. AghaKouchak, and E. Foufoula-Georgiou, 2018: A new interhemispheric teleconnection increases predictability of winter precipitation in southwestern US. Nature Communications, 9(1), 2332, doi:10.1038/s41467-018-04722-7.
Marra, A. C., F. Porcu', L. Baldini, M. Petracca, D. Casella, S. Dietrich, A. Mugnai, P. Sanò, G. Vulpiani, and G. Panegrossi, 2017: Observational analysis of an exceptionally intense hailstorm over the Mediterranean area: Role of the GPM Core Observatory. Atmos. Res., 182, 72-90, doi:10.1016/j.atmosres.2017.03.019.
Masaki, T., and Coauthors, 2015: Current status of GPM/DPR level 1 algorithm development and DPR calibration. Proc. IEEE Int. Conf. on Geoscience and Remote Sensing Symp. 2015, Milan, Italy, 2615-2618, doi:10.1109/IGARSS.2015.7326348.
Masaki, T., T. Kubota, R. Oki, M. Kojima, K. Kurukawa, T. Miura, H. Kai, and T. Iguchi, 2014: Development of level 1 algorithm of Dual Frequency Precipitation Radar (DPR) for the Global Precipitation Measurement (GPM). Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS) 2014, Quebec City, Canada, doi:10.1109/IGARSS.2014.6947609.
Matsui, T., J. Santanello, J. J. Shi, W.-K. Tao, D. Wu, C. Peters-Lidard, E. Kemp, M. Chin, D. Starr, M. Sekiguchi, and F. Aires, 2014: Introducing multisensor satellite radiance-based evaluation for regional Earth System modeling. J. Geophys. Res., 119, 8450-8475, doi:10.1002/2013JD021424.
Matsui, T., T. Iguchi, X. Li, M. Han, W.-K. Tao, W. Petersen, T. L'Ecuyer, R. Meneghini, W. Olson, C. D. Kummerow, A. Y. Hou, M. R. Schwaller, E. F. Stocker, and J. Kwiatkowski, 2013: GPM Satellite Simulator over Ground Validation Sites. Bull. Amer. Meteor. Soc., 94, 1653-1660, doi:10.1175/BAMS-D-12-00160.1.
Mechem, D. B., S. E. Giangrande, C. S. Wittman, P. Borque, T. Toto, and P. Kollias, 2015: Insights from modeling and observational evaluation of a precipitating continental cumulus event observed during the MC3E field campaign. J. Geophys. Res., 120, 1980-1995, doi:10.1002/2014JD022255.
Mega, T. and S. Shige, 2016: Improvements of Rain/No-Rain Classification Methods for Microwave Radiometer over Coasts by Dynamic Surface-Type Classification. J. Atmos. Oceanic Technol., 33, 1257–1270, doi:10.1175/JTECH-D-15-0127.1.
Meneghini, R., H. Kim, L. Liao, J. A. Jones, and J. M. Kwiatkowski, 2015: An Initial Assessment of the Surface Reference Technique Applied to Data from the Dual-Frequency Precipitation Radar (DPR) on the GPM Satellite. J. Atmos. Oceanic Technol., 32, 2281-2296, doi:10.1175/JTECH-D-15-0044.1.
Mishra, K. V., W. F. Krajewski, R. Goska, D. Ceynar, B.-C. Seo, A. Kruger, J. J. Niemeier, M. B. Galvez, M. Thurai, V. N. Bringi, L. Tolstoy, P. A. Kucera, W. A. Petersen, J. Grazioli, and A. L. Pazmany, 2016: Deployment and Performance Analyses of High-Resolution Iowa XPOL Radar System during the NASA IFloodS Campaign. J. Hydrometeor., 17, 455-479, doi:10.1175/JHM-D-15-0029.1.
Mitropoulos, D., and H. Feidas, 2017: Use of Global Precipitation Measurement’s Satellite Data for the Study of a Mesoscale Convective System. Perspectives on Atmospheric Sciences, ResearchGate, 209-215, doi:10.1007/978-3-319-35095-0_30.
Munchak, S. J., R. Meneghini, M. Grecu, and W. S. Olson, 2016: A Consistent Treatment of Microwave Emissivity and Radar Backscatter for Retrieval of Precipitation over Water Surfaces. J. Atmos. Oceanic Technol., 33, 215-229, doi:10.1175/JTECH-D-15-0069.1.
Neeck, S. P., Kakar, R. Kakar, A. Azarbarzin, A. Hou, and G. Skofronick-Jackson, 2014: Global Precipitation Measurement (GPM) Launch, Commissioning, and Early Operations. Sensors, Systems, and Next-Generation Satellites XVIII Book Series: Proceedings of SPIE , doi:10.1117/12.2069868.
Nguyen-Xuan, T., T. Ngo-Duc, H. Kamimera, L. Trinh-Tuan, J. Matsumoto, T. Inoue, and T. Phan-Van, 2016: The Vietnam Gridded Precipitation (VnGP) Dataset: construction and validation. SOLA, 12, 291-294, doi:10.2151/sola.2016-057.
Nijssen, B., and D. P. Lettenmaier, 2004: Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the Global Precipitation Measurement satellites. J. Geophys. Res., 109, doi:10.1029/2003JD003497.
Nio, T., T. Takeshima, M. Fuda, Y. Fajuita, N. Saito, and T. Konishi, 2014: JAXA GPM Mission Operation System Overview and GPM Data Distribution. IEEE International Symposium on Geoscience and Remote Sensing IGARSS, 3746-3749, doi:10.1109/IGARSS.2014.6947298.

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