GPM Refereed Publications
Gadelha, A. N., V.H.R. Coelho, A. C. Xavier, L. R. Barbosa, D.C.D. Melo, Y. Xuan, G. J. Huffman, W. A. Petersen, and C. N. Almeida,
: Grid box-level evaluation of IMERG over Brazil at various space and time scales. Atmos. Res., 218, 231-244, doi:10.1016/j.atmosres.2018.12.001.
Galligani, V. S., D. Wang, M. Alvarez Imaz, P. Salio, and C. Prigent,
: Analysis and evaluationof WRF microphysical schemes for deep moistconvection over Southeastern South America(SESA) using microwave satellite observationsand radiative transfer simulations. Atmos. Meas. Tech., 10(10), 3627–3649, doi:10.5194/amt-2017-67.
Galligani, V. S., D. Wang, P. B. Corrales, and C. Prigent,
: A Parameterization of the Cloud Scattering Polarization Signal Derived From GPM Observations for Microwave Fast Radative Transfer Models. IEEE Transactions on Geoscience and Remote Sensing, 59(11), 8968-8977, doi:10.1109/TGRS.2021.3049921.
Ganesh, S., A. Pradhan, and J. Indu,
: Evaluation of GPM sampling error over major basins in Indian subcontinent using bootstrap technique. Advances in Space Research, 63(10), 3289-3302, doi:10.1016/j.asr.2019.01.031.
Gao, G., Q. Chen, H. Cai, Y. Li, and Z. Wang,
: 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.
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.