GPM Refereed Publications

Displaying 1 - 20 of 515 Total Publications
Adhikari N. B., T. Iguchi, S. Shinta; et al., 2007: Rain retrieval performance of a dual-frequency precipitation radar technique with differential-attenuation constraint. IEEE Transactions on Geoscience and Remote Sensing, 45(8), 2612-2618, doi:10.1109/TGRS.2007.893555.
Adhikari, A., and C. Liu, 2019: Geographical distribution of thundersnow events and their properties from GPM Ku-Band radar. J. Geophys. Res., 124(4), 2031–2048, doi:10.1029/2018JD028839.
Adhikari, A., and C. Liu, 2019: Remote Sensing Properties of Freezing Rain Events from Space. J. Geophys. Res., 124, 10385–10400, doi:10.1029/2019JD030788.
Adhikari, A., C. Liu, and L. Hayden, 2019: Uncertainties of GPM Microwave Imager Precipitation Estimates Related to Precipitation System Size and Intensity. J. Hydrometeor., 20, 1907-1923, doi:10.1175/JHM-D-19-0038.1.
Adhikari, A., C. Liu, and M. Kulie, 2018: Global distribution of snow precipitation features and their properties observed by GPM satellite. J. Climate, 31, 3731-3754, doi:10.1175/JCLI-D-17-0012.1.
Adhikari, N. and T. Iguchi, 2006: Effect of raindrop size distribution variability in dual-frequency radar rain retrieval algorithms assessed from disdrometer measurements. IEEE Transactions on Geoscience and Remote Sensing Letters, 3(2), 197-201, doi:10.1109/LGRS.2005.862275.
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.
Akiyama, S., S. Shige, M. K. Yamamoto, and T. Iguchi, 2019: Heavy ice precipitation band in an oceanic extratropical cyclone observed by GPM/DPR: 1. A case study. Geophys. Res. Lett., 46(12), 7007-7014, doi:10.1029/2019GL082896.
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.
Alquaied, F., R. Chen, W. Linwood Jones , 2018: Hot Load Temperature Correction for TRMM Microwave Imager in the Legacy Brightness Temperature. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(6), 1923-1931, doi:10.1109/JSTARS.2018.2837099.
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.
Arulraj, M. and A. P. Barros, 2019: Improving quantitative precipitation estimates in mountainous regions by modelling low-level seeder-feeder interactions constrained by Global Precipitation Measurement Dual-frequency Precipitation Radar measurements. Rem. Sens. Environ., 231, 111213, doi:10.1016/j.rse.2019.111213.
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., M. Le, V. Chandrasekar, N. Yoshida, T. Higashiuwatoko, T. Kubota, and T. Iguchi, 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.
Balsamo, G., A. Agusti-Panareda, C. Albergel, G. Arduini, A. Beljaars, J. Bidlot, N. Bousserez, S. Boussetta, A. Brown, R. Buizza, C. Buontempo, F. Chevallier, M. Choulga, H. Cloke, M.F. Cronin, M. Dahoui, P. de Rosnay, P.A. Dirmeyer, M. Drusch, E. Dutra, M.B. Ek, P. Gentine, H. Hewitt, S.P. Keeley, Y. Kerr, S. Kumar, C. Lupu, J.-F. Mahfouf, J. McNorton, S. Mecklenburg, K. Mogensen, J. Muñoz-Sabater, R. Orth, F. Rabier, R. Reichle, B. Ruston, F. Pappenberger, I. Sandu, S.I. Seneviratne, S. Tietsche, I.F. Trigo, R. Uijlenhoet, N. Wedi, R.I. Woolway, , 2018: Satellite and in situ observations for advancing global earth surface modelling: A review. Rem. Sens., 10, 2038, doi:10.3390/rs10122038.

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