GPM Refereed Publications

Garg, P., S. W. Nesbitt, T. J. Lang, T. Chronis, J. D. Thayer, and D. A. Hence, : Identifying and Characterizing Tropical Oceanic Mesoscale Cold Pools using Spaceborne Scatterometer Winds. J. Geophys. Res. - Atmos., 125(5), e2019JD031812, doi:10.1029/2019JD031812.
Garstang, M., E. Zipser, R. Ellingson, K. Warsh, P. Grose, S. Ulanski, R. Holle, W. Seguin, D. Fitzjarrald, S. Greco, and G. D. Emmitt, : Three Early Tropical Field Experiments. Bull. Amer. Meteor. Soc., 100(11), 2243–2258, doi:10.1175/BAMS-D-18-0151.1.
Gatlin, P. N., M. Thurai, C. Williams, and E. Adirosi, : Measurement and Modeling of the Precipitation Particle Size Distribution . Atmosphere, 12(7), 819, doi:10.3390/atmos12070819.
Gatlin, P. N., M. Thurai, V.N. Bringi, W. Petersen, D. Wolff, A. Tokay, L. Carey, and M. Wingo, : 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.
Gatlin, P., W. A Petersen, J. L. Pippitt, T. A Berendes, D. B. Wolff, and A. Tokay, : The GPM Validation Network and Evaluation of Satellite-Based Retrievals of the Rain Drop Size Distribution. atmosphere, 11(9), 1010, doi:10.3390/atmos11091010.
Gebregiorgis, A., P. E. Kirstetter, Y. Hong, J. J. Gourley, G. Huffman, W. Petersen, X. Xue, M. Schwaller, : 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, : 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, : 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, : All‐sky satellite data assimilation at operational weather forecasting centres. Q. J. R. Meteor. Soc., 144(713), 1191-1217, doi:10.1002/qj.3202.
Getirana, A., D. Kirschbaum, F. Mandarino, M. Ottoni, S. Khan, and K. Arsenault, : Potential of GPM IMERG Precipitation Estimates to Monitor Natural Disaster Triggers in Urban Areas: The Case of Rio de Janeiro, Brazil . Remote Sensing, 12(24), 4095, doi:10.3390/rs12244095.
Ghosh, A., A. K. Varma, S. Shah, B. S. Gohil, and P. K. Pal, : Rain identification and measurement using Oceansat-II scatterometer observations. Remote Sensing of Environment, 142, 20-32, doi:10.1016/j.rse.2013.10.033.
Giangrande, S. E., S. Collis, A. K. Theisen, and A. Tokay, : 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, : 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.
Gohil, B. S., R. M. Gairola, A. K. Mathur, A. K. Varma, C. Mahesh, R. K. Gangwar and P. K. Pal, : Algorithms for retrieving geophysical parameters from the MADRAS and SAPHIR sensors of the Megha-Tropiques satellite: Indian scenario. Quarterly Journal of Royal Meteorological Society, 139(673), 954-963, doi:0.1002/qj.2041.
Goldenstern, E., and C. D. Kummerow, : Predicting Region-Dependent Biases in a GOES-16 Machine Learning Precipitation Retrieval. J. Appl. Meteor. Climatol., 62(7), 873–885, doi:10.1175/JAMC-D-22-0089.1.
Golian, S., +M. Javadian, and A. Behrangi, : On the use of satellite, gauge, and reanalysis precipitation products for drought studies. Environ. Res. Lett., 14, 075005, doi:10.1088/1748-9326/ab2203.
Golian, S., S. Moazami, P. E. Kirstetter, Y. Hong, : 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, : 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, : 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 , : 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.