GPM Refereed Publications

Displaying 101 - 120 of 588 Total Publications
Furukawa, K., M. Kojima, T. Nio, T. Konishi, R. Oki, T. Masaki, T. Kubota, Y. Kaneko, M. Kachi, T. Iguchi, H. Hanado, and K. Nakagawa, 2015: The Orbital Operations Status of the Dual-Frequency Precipitation Radar on the Global Precipitation Measurement Core Spacecraft. IEEE International Symposium on Geoscience and Remote Sensing IGARSS, 5154-5157, doi:10.1109/IGARSS.2015.7326994.
Gabella, M., P. Speirs, U. Hamann, A. Berne and U. Germann, 2017: Measurement of precipitation in the Alps using dual-polarization C-band ground-based radars, the GPM spaceborne Ku-band radar and rain gauges. Rem. Sens., 9(11), 1147, doi:10.3390/rs9111147.
Gao, G., Q. Chen, H. Cai, Y. Li, and Z. Wang, 2019: Comprehensive Characteristics of Summer Deep Convection over Tibetan Plateau and Its South Slope from the Global Precipitation Measurement Core Observatory. Atmosphere, 10(1), 9, doi:10.3390/atmos10010009.
Gatlin, P. N., M. Thurai, V.N. Bringi, W. Petersen, D. Wolff, A. Tokay, L. Carey, and M. Wingo, 2015: Searching for large raindrops: A global summary of two-dimensional video disdrometer observations. J. Appl. Meteor. Climatol., 54, 1069-1089, doi:10.1175/JAMC-D-14-0089.1.
Gebregiorgis, A., P. E. Kirstetter, Y. Hong, J. J. Gourley, G. Huffman, W. Petersen, X. Xue, M. Schwaller, 2018: To what extent is the Day-1 IMERG satellite rainfall estimate improved as compared to TMPA-RT. J. Geophy. Res., 123, 1694-1707, doi:10.1002/2017JD027606.
Gebregiorgis, A., P. E. Kirstetter, Y. Hong, N. Carr, J. J. Gourley, Y. Zheng, 2017: Understanding multi-sensor satellite precipitation error structure in level-3 TRMM products. J. Hydrometeor., 18, 285-306, doi:10.1175/JHM-D-15-0207.1.
Geer, A.J., F. Baordo, N. Bormann, P. Chambon, S. J. English, M. Kazumori, H. Lawrence, P. Lean, K. Lonitz, and C. Lupu, 2017: The growing impact of satellite observations sensitive to humidity, cloud and precipitation. Q. J. R. Meteor. Soc., 143(709), 3189-3206, doi:10.1002/qj.3172.
Geer, A.J., K. Lonitz, P. Weston, M. Kazumori, K. Okamoto, Y. Zhu, E. H. Liu, A. Collard, W. Bell, S. Migliorini, and P. Chambon, 2018: All‐sky satellite data assimilation at operational weather forecasting centres. Q. J. R. Meteor. Soc., 144(713), 1191-1217, doi:10.1002/qj.3202.
Giangrande, S. E., S. Collis, A. K. Theisen, and A. Tokay, 2014: Precipitation Estimation from the ARM Distributed Radar Network during the MC3E Campaign. J. Appl. Meteor. Climatol., 53, 2130-2147, doi:10.1175/JAMC-D-13-0321.1.
Gilewski, P., and M. Nawalany, 2018: Inter-Comparison of Rain-Gauge, Radar, and Satellite (IMERG GPM) Precipitation Estimates Performance for Rainfall-Runoff Modeling in a Mountainous Catchment in Poland. Water, 10, 1665, doi:10.3390/w10111665.
Golian, S., S. Moazami, P. E. Kirstetter, Y. Hong, 2015: Merging Multiple Satellite Rainfall Estimate Algorithms over a Complex Terrain. Water Resources Management, 29, 4885-4901, doi:10.1007/s11269-015-1096-6.
Gong, J. and D. L. Wu, 2017: Microphysical Properties of Frozen Particles Inferred from Global Precipitation Measurement (GPM) Microwave Imager (GMI) Polarimetric Measurements . Atmos. Chem. and Phys. Discuss, 17, 2741–2757, doi:10.5194/acp-17-2741-2017.
Gong, J., X. Zeng, D. L. Wu, and X. Li, 2018: Diurnal Variation of Tropical Ice Cloud Microphysics: Evidence from Global Precipitation Measurement Microwave Imager Polarimetric Measurements. Geophys. Res. Letts., 45(2), 1185-1193, doi:10.1002/2017GL075519.
Gorgucci, E. and L. Baldini , 2018: Performance Evaluations of Rain Microphysical Retrieval Using Gpm Dual-Wavelength Radar by Way of Comparison With the Self-Consistent Numerical Method. IEEE Transactions on Geoscience and Remote Sensing, 56(10), 5705 - 5716, doi:10.1109/TGRS.2018.2824399.
Gorgucci, E. and L. Baldini, 2015: Influence of Beam Broadening on the Accuracy of Radar Polarimetric Rainfall Estimation. J. Hydrometeor., 16, 1356-1371, doi:10.1175/JHM-D-14-0084.1.
Graff C., S. Coffield, Y. Chen, E. Foufoula-Georgiou, J. Randerson, and P. Smyth, 2020: Forecasting daily wildfire activity using Poisson Regression. IEEE Transactions in Geoscience and Remote Sensing, 1-15, doi:10.1109/TGRS.2020.2968029.
Grecu, M., L. Tian, G. M. Heymsfield, A. Tokay, W. S. Olson, A. J. Heymsfield, and A. Bansemer, 2018: Nonparametric Methodology to Estimate Precipitating Ice from Multiple-Frequency Radar Reflectivity Observations. J. Appl. Meteor. Climatol., 57(11), 2605–2622, doi:10.1175/JAMC-D-18-0036.1.
Grecu, M., W. S. Olson, S. J. Munchak, S. Ringerud, L. Liao, Z. Haddad, B. L. Kelley, S. F. McLaughlin, 2016: The GPM Combined Algorithm. J. Atmos. Oceanic Technol., 33, 2225-2245, doi:10.1175/JTECH-D-16-0019.1.
Guilloteau, C., and E. Foufoula-Georgiou, 2019: Beyond the pixel: using patterns and multiscale spatial information to improve the retrieval of precipitation from space-borne passive microwave imagers. J. Atmos. Oceanic Technol., doi:10.1175/JTECH-D-19-0067.1.
Guilloteau, C., Foufoula-Georgiou, E., & Kummerow, C. D., 2017: Global multiscale evaluation of satellite passive microwave retrieval of precipitation during the TRMM and GPM eras: effective resolution and regional diagnostics for future algorithm development. J. of Hydrometeor., 18, 11, doi:10.1175/JHM-D-17-0087.1.