GPM Refereed Publications

Displaying 81 - 100 of 299 Total Publications
Islam, T., M. A. Rico-Ramirez, D. Han, P. K. Srivastava, and A. M. Ishk, 2012: Performance evaluation of the TRMM precipitation estimation using ground-based radars from the GPM validation network. J. of Atmos. .Solar Terrestrial Phys., 77, 194-208, doi:10.1016/j.jastp.2012.01.001.
Jensen, M. P., T. Toto, D. Troyan, P. E. Ciesielski, D. Holdridge, J. Kyrouac, J. Schatz, Y. Zhang, and S. Xie, 2015: The Midlatitude Continental Convective Clouds Experiment (MC3E) sounding network: operations, processing and analysis. Atmos. Meas. Tech., 8, 421-434, doi:10.5194/amt-8-421-2015.
Jensen, M. P., W. A. Petersen, A. Bansemer, N. Bharadwaj, L. D. Carey, D. J. Cecil, S. M. Collis, A. D. Del Genio, B. Dolan, J. Gerlach, S. E. Giangrande, A. Heymsfield, G. Heymsfield, P. Kollias, T. J. Lang, S. W. Nesbitt, A. Neumann, M. Poellot, S. A. Rutledge, M. Schwaller, A. Tokay, C. R. Williams, D. B. Wolff, S. Xie, and E. J. Zipser, 2016: The Midlatitude Continental Convective Clouds Experiment (MC3E). Bull. Amer. Meteor. Soc., 97, 1667-1686, doi:10.1175/BAMS-D-14-00228.1.
Johnson, B. T., W. S. Olson, and G. Skofronick-Jackson, 2017: The microwave properties of simulated melting precipitation particles: sensitivity to initial melting. Atmos. Meas. Tech., 9, 9-21, doi:10.5194/amt-9-9-2016.
Katsumata, M., S. Mori, B. Geng, and J. Inoue, 2016: Internal structure of ex-Typhoon Phanfone (2014) under an extratropical transition as observed by the research vessel Mirai. Geophys. Res. Lett., 43, 9333-9341, doi:10.1002/2016GL070384.
Kidd, C., G. J. Huffman, A. Becker, G. Skofronick-Jackson, D. Kirschbaum, P. Joe, and C. Muller, 2015: So, how much of the Earth’s surface is covered by rain gauges?. Bull. Amer. Meteor. Soc., 98, 69-78, doi:10.1175/BAMS-D-14-00283.1.
Kidd, C., T. Matsui, J. Chern, K. Mohr, C. Kummerow, and D. Randel, 2015: Global Precipitation Estimates from Cross-Track Passive Microwave Observations Using a Physically Based Retrieval Scheme. J. Hydrometeor., 17, 383-400, doi:10.1175/JHM-D-15-0051.1.
Kim, J.-H., M.-L. Ou, J.-D. Park, K. R. Morris, M. R. Schwaller, and D. B. Wolff, 2014: Global Precipitation Measurement (GPM) Ground Validation (GV) Prototype in the Korean Peninsula. J. Atmos. Oceanic Technol., 31, 1902-1921, doi:10.1175/JTECH-D-13-00193.1.
Kirchmeier-Young, M. C., F. W. Zwiers, N. P. Gillett, and A. J. Cannon, 2017: Attributing extreme fire risk in Western Canada to human emissions. Climatic Change, 144, 365-379, doi:10.1007/s10584-017-2030-0.
Kirschbaum, D., G. Huffman, G. Skofronick-Jackson, S. Braun, E. Stocker, K. Garrett, E. Jones, R. Adler, H. Wu, A. McNally, and B. Zaitchik, 2017: NASA’s Remotely-sensed Precipitation: A Reservoir for Applications Users. Bull. Amer. Meteor. Soc., 98, 1169-1184, doi:10.1175/BAMS-D-15-00296.1.
Kirstetter, P.-E., Y. Hong, J.J. Gourley, Q. Cao, M. Schwaller, and W. Petersen, 2015: A research framework to bridge from the Global Precipitation Measurement mission core satellite to the constellation sensors using ground radar-based National Mosaic QPE. In L. Venkataraman, Remote Sensing of the Terrestrial Water Cycle. AGU books Geophysical Monograph Series, Chapman monograph on remote sensing. John Wiley & Sons Inc., 206, 61-79, doi:ISBN: 1118872037.
Kirstetter, P.E., J.J. Gourley, Y. Hong, J. Zhang, S. Moazamigoodarzi, C. Langston, and A. Arthur, 2015: Probabilistic Precipitation Rate Estimates with Ground-based Radar Networks. Water Resources Research, 51, 1422-1442, doi:10.1002/2014WR015672.
Kirstetter, P.E., Y. Hong, J.J. Gourley, S. Chen, Z. Flamig, J. Zhang, M. Schwaller, W. Petersen and E. Amitai, 2012: Toward a Framework for Systematic Error Modeling of Spaceborne Precipitation Radar with NOAA/NSSL Ground Radar-based National Mosaic QPE. J. Hydrometeor., 13, 1285-1300, doi:10.1175/JHM-D-11-0139.1.
Kotsuki, S., T. Miyoshi, K. Terasaki, G.-Y. Lien and E. Kalnay, 2017: Assimilating the Global Satellite Mapping of Precipitation Data with the Nonhydrostatic Icosahedral Atmospheric Model NICAM. J. Geophys. Res., 122, 631-650, doi:10.1002/2016JD025355.
Kubota, T., N. Yoshida, S. Urita, T. Iguchi, S. Seto, R. Meneghini, J. Awaka, H. Hanado, S. Kida, and R. Oki, 2014: Evaluation of Precipitation Estimates by at-Launch Codes of GPM/DPR Algorithms Using Synthetic Data from TRMM/PR Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 3931-3944, doi:10.1109/JSTARS.2014.2320960.
Kubota, T., T. Iguchi, M. Kojima, L. Liao, T Masaki, H. Hanado, R. Meneghini, and R. Oki, 2016: A Statistical Method for Reducing Sidelobe Clutter for the Ku-Band Precipitation Radar on board the GPM Core Observatory. J. Atmos. Oceanic Technol., 33, 1413-1428, doi:10.1175/JTECH-D-15-0202.1.
Kumjian, M. R. and O. P. Prat, 2014: The Impact of Raindrop Collisional Processes on the Polarimetric Radar Variables. J. Atmos. Sci., 71, 3052-3067, doi:10.1175/JAS-D-13-0357.1.
Kumjian, M. R., S. Mishra, S. E. Giangrande, T. Toto, A. V. Ryzhkov, and A. Bansemer, 2016: Polarimetric radar and aircraft observations of saggy bright bands during MC3E. J. Geophys. Res., 121, 3584-3607, doi:10.1002/2015JD024446.
Kummerow, C. D., D. L. Randel, M. Kulie, N.-Y. Wang, R. Ferraro, S. J. Munchak, and V. Petkovic, 2015: The Evolution of the Goddard Profiling Algorithm to a Fully Parametric Scheme. J. Atmos. Oceanic Technol., 32, 2265-2280, doi:10.1175/JTECH-D-15-0039.1.
Lang, S. E., W.-K. Tao, J.-D. Chern, D. Wu, and X. Li, 2014: Benefits of a Fourth Ice Class in the Simulated Radar Reflectivities of Convective Systems Using a Bulk Microphysics Scheme. J. Atmos. Sci., 71, 3583-3612, doi:10.1175/JAS-D-13-0330.1.

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