GPM Refereed Publications

Displaying 41 - 60 of 299 Total Publications
Duan, Y, A. M. Wilson, and A. P. Barros, 2015: Scoping a field experiment: error diagnostics of TRMM precipitation radar estimates in complex terrain as a basis for IPHEx2014. Hydrology and Earth System Sciences, 19, 1501-1520, doi:10.5194/hess-19-1501-2015.
Duan, Y. and A. P. Barros, 2017: Understanding How Low-Level Clouds and Fog Modify the Diurnal Cycle of Orographic Precipitation Using In Situ and Satellite Observations. Rem. Sens., 9, 920, doi:10.3390/rs9090920.
Duncan, D. I., and C. D. Kummerow, 2016: A 1DVAR retrieval applied to GMI: Algorithm description, validation, and sensitivities. J. Geophys. Res., 121, 7415-7429, doi:10.1002/2016JD024808.
Ebtehaj, M. and C. D. Kummerow, 2017: Microwave retrievals of terrestrial precipitation over snow-covered surfaces: A lesson from the GPM satellite. Res. Lett., 44, 6154–6162, doi:10.1002/2017GL073451.
F. J. Tapiador, A. Berne, T. Raupach, A. Navarro, G. Lee, and Z. S. Haddad, 2018: Objective Characterization of Rain Microphysics: Validating a Scheme Suitable for Weather and Climate Models. J. Hydrometeor., 19(6), 929–946, doi:10.1175/BAMS-D-17-0218.1.
F. J. Tapiador, R. Checa, and M. de Castro, 2010: An experiment to measure the spatial variability of rain drop size distribution using sixteen laser disdrometers. Geophys. Res. Letts., 37(16), L16803, doi:10.1029/2010GL044120.
Fan, J., Y.-C. Liu, K.-M. Xu, K. North, S. Collis, X. Dong, G. J. Zhang, Q. Chen, P. Kollias, and S. J. Ghan, 2015: Improving representation of convective transport for scale-aware parameterization: 1. Convection and cloud properties simulated with spectral bin and bulk microphysics. J. Geophys. Res., 120, 3485-3509, doi:10.1002/2014JD022142.
Ferraro, R. R., C. D. Peters-Lidard, C. Hernandez, F. J. Turk, F. Aires, C. Prigent, X. Lin, S. A. Boukabara, F. A. Furuzawa, K. Gopalan, K. W. Harrison, F. Karbou, L. Li, C. Liu, H. Masunaga, L. Moy, S. Ringerud, G. M. Skofronick-Jackson, Y. Tian, and N. Y. Wang, 2013: An Evaluation of Microwave Land Surface Emissivities over the Continental United States to Benefit GPM-Era Precipitation Algorithms. IEEE Trans. Geoscience and Remote Sensing (TGARS), 51, 378-398, doi:10.1109/TGRS.2012.2199121.
Foufoula-Georgiou, E., A. M. Ebtehaj, S. Q. Zhang, and A. Y. Hou, 2014: Downscaling satellite precipitation with emphasis on extremes: A variational ℓ1-norm regularization in the derivative domain. Surveys in Geophysics, 35, 765-783, doi:10.1007/s10712-013-9264-9.
Furukawa, K., M. Kojima, T. Miura, and M. Okumura, 2014: Orbital checkout result of the dual-frequency precipitation radar on the global precipitation measurement core spacecraft. SPIE Remote Sensing Conference; Sensors, Systems, and Next-Generation Satellites XVIII, doi:10.1117/12.2067114.
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.
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.
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.
Gong, J. and D. L. Wu, 2016: Microphysical Properties of Frozen Particles Inferred from Global Precipitation Measurement (GPM) Microwave Imager (GMI) Polarimetric Measurements . Atmos. Chem. and Phys. Discuss, doi:10.5194/acp-2016-787.
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, 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.
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., 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.
Guilloteau, C., Foufoula-Georgiou, E., Kummerow, C. D., and Petković, V., 2018: Resolving surface rain from GMI high-frequency channels: limits imposed by the three-dimensional structure of precipitation. J. Atmos. Oceanic Tech., 35, 1835-1847, doi:10.1175/JTECH-D-18-0011.1.