GPM Refereed Publications

Displaying 1 - 20 of 299 Total Publications
Adirosi, E, E. Volpi, F. Lombardo, and L. Baldini, 2016: Raindrop size distribution: Fitting performance of common theoretical models. Adv. Water Res., 96, 290-305, doi:10.1016/j.advwatres.2016.07.010.
Adirosi, E., E. Gorgucci, L. Baldini, and A. Tokay, 2014: Evaluation of Gamma Raindrop Size Distribution Assumption through Comparison of Rain Rates of Measured and Radar-Equivalent Gamma DSD. J. Appl. Meteor. Climatol., 53, 1618-1635, doi:10.1175/JAMC-D-13-0150.1.
Adirosi, E., L. Baldini, N. Roberto, P. Gatlin, and A. Tokay, 2016: Improvement of vertical profiles of raindrop size distribution from micro rain radar using 2D video disdrometer measurements. Atmos. Res., 169, 404-415, doi:10.1016/j.atmosres.2015.07.002.
Adler, R. F., G. Gu, M. Sapiano, J.-J. Wang and G. J. Huffman, 2017: Global Precipitation: Means, Variations and Trends During the Satellite Era (1979–2014). Surveys in Geophysics, 38, 679-699, doi:10.1007/s10712-017-9416-4.
Alemohammad, S. H., D. Entekhabi, D. B. McLaughlin, 2014: Evaluation of Long-Term SSM/I-Based Precipitation Records over Land. J. Hydrometeor., 15, 2012-2029, doi:10.1175/JHM-D-13-0171.1.
Angulo-Martinez, M., and A. P. Barros, 2015: Measurement uncertainty in rainfall kinetic energy and intensity relationships for soil erosion studies: An evaluation using PARSIVEL disdrometers in the Southern Appalachian Mountains. Geomorphology, 228, 28-40, doi:10.1016/j.geomorph.2014.07.036.
Aonashi, K., K. Okamoto, T. Tashima, T. Kubota, and K. Ito, 2016: Sampling Error Damping method for a Cloud-Resolving Model using a Dual-Scale Neighboring Ensemble Approach. Mon. Wea. Rev., 144, 4751-4770, doi:10.1175/MWR-D-15-0410.1.
Arulraj, M. and A. P. Barros, 2017: Shallow Precipitation Detection and Classification Using Multifrequency Radar Observations and Model Simulations. J. Atmos. Oceanic Technol., 34, 1963-1983, doi:10.1175/JTECH-D-17-0060.1.
Augusto Guimaraes Santos, C., R. Moura Brasil Neto, R. Marques da Silva, and D. Correia dos Santos, 2018: Innovative approach for geospatial drought severity classification: a case study of Paraı ́ ba state, Brazil. Stochastic Environmental Research and Risk Assessment, doi:10.1007/s00477-018-1619-9.
Awaka, J., and M. Le, 2016: Rain Type Classification Algorithm Module for GPM Dual-Frequency Precipitation Radar. J. Atmos. Oceanic Technol., 33, 1887-1898, doi:10.1175/BAMS-D-14-00228.1.
Bang, S. D., and D. J. Cecil, 2019: Constructing a Multi-Frequency Passive Microwave Hail Retrieval and Climatology in the GPM Domain. J. Appl. Meteor. Climatol., doi:10.1175/JAMC-D-19-0042.1.
Barros, A. P., 2010: Reply to comment by Qingyun Han on “Metrics to describe the dynamical evolution of atmospheric moisture: Intercomparison of model (NARR) and observations (ISCCP)” by Tao and Barros (2008). J. Geophys. Res., 115, D14125, doi:10.1029/2009JD013562.
Barros, A. P., O. Prat, and F. Testik, 2010: Size distribution of raindrops. Nature Physics, 6, 232, doi:10.1038/nphys1646.
Battaglia, A., K. Mroz, S. Tanelli, F. Tridon, and P. E. Kirstetter, 2016: Multiple-Scattering-Induced "Ghost Echoes" in GPM DPR Observations of a Tornadic Supercell. J. Appl. Meteor. Climatol., 55, doi:1653-1666.
Battaglia, A., M. O. Ajewole, and C. Simmer, 2006: Evaluation of Radar Multiple-Scattering Effects from a GPM Perspective. Part II: Model Results. J. Appl. Meteor. Climatol., 45, 1648-1664, doi:10.1175/JAM2425.1.
Battaglia, A., M. O. Ajewole, and C. Simmer, 2006: Evaluation of Radar Multiple-Scattering Effects from a GPM Perspective. Part I: Model Description and Validation. J. Appl. Meteor. Climatol., 45, 1634-1647, doi:10.1175/JAM2424.1.
Battaglia, A., S. Tanelli, G. M. Heymsfield, and L. Tian, 2014: The Dual Wavelength Ratio Knee: A Signature of Multiple Scattering in Airborne Ku–Ka Observations. J. Appl. Meteor. Climatol., 53, 1790-1808, doi:10.1175/JAMC-D-13-0341.1.
Beauchamp, R. M., V. Chandrasekar, H. Chen, and M. Vega, 2015: Overview of the D3R Observations during the IFloodS Field Experiment with Emphasis on Rainfall Mapping and Microphysics. J. Hydrometeor., 16, 2118-2132, doi:10.1175/JHM-D-15-0023.1.
Behrangi, A., K. J. Bormann, and T. H. Painter, 2018: Using the Airborne Snow Observatory to Assess Remotely Sensed Snowfall Products in the California Sierra Nevada. Water Resources Res., 54(10), 7331-7346, doi:10.1029/2018WR023108.
Behrangi, A., X. Yin, S. Rajagopal, D. Stampoulis, and H. Ye, 2018: On distinguishing snowfall from rainfall using near‐surface atmospheric information: Comparative analysis, uncertainties and hydrologic importance. Quart. J. Roy. Meteor. Soc., 144(S1), 89-102, doi:10.1002/qj.3240.