GPM Refereed Publications
Yashiro, H., K. Terasaki, T. Miyoshi, and H. Tomita,
: Performance evaluation of throughput-aware framework for ensemble data assimilation: The case of NICAM-LETKF. Geosci. Model Devel., 9, 2293-2300, doi:10.5194/gmd-9-2293-2016.
Yang, J., M. Jun, C. Schumacher, and R. Saravanan,
: Predictive Statistical Representations of Observed and Simulated Rainfall Using Generalized Linear Models. J. Climate, 32(11), 3409–3427, doi:10.1175/JCLI-D-18-0527.1.
Yang, J. X., and H. Yang,
: Radiometry Calibration with High-Resolution Profiles of GPM: Application to ATMS 183-GHz Water Vapor Channels and Comparison Against Reanalysis Profiles. IEEE Transactions on Geoscience and Remote Sensing, 57(2), , doi:10.1109/TGRS2018.2861678.
Yang, J. X., and D. S. McKague,
: Improving Collocation-Based Scan-Dependent Intercalibration Over the Ocean for Spaceborne Radiometry. IEEE Geoscience and Remote Sensing Letters, 13, 589-593, doi:10.1109/LGRS.2016.2528261.
Yamamoto, M. K., S. Shige, C.-K. Yu, and L.-W. Chen,
: Further improvement of the heavy orographic rainfall retrievals in the GSMaP algorithm for microwave radiometers. J. Appl. Meteor. Climatol., 56, 2607-2619, doi:10.1175/JAMC-D-16-0332.1.
Yamamoto, M. K., I. Tanaka, and S. Shige,
: Improvement of the rain/no-rain classification method for microwave radiometers over the Tibetan plateau. IEEE Geosci. Remote Sens. Lett., 14, 626-630, doi:10.1109/LGRS.2017.2666814.
Yamamoto, M. K. and S. Shige,
: Implementation of an orographic/nonorographic rainfall classification scheme in the GSMaP algorithm for microwave radiometers. Atmos. Res., 163, 36-47, doi:10.1016/j.atmosres.2014.07.024.
Yamamoto, K., T. Kubota, N. Takahashi, K. Kanemaru, T. Masaki and K. Furukawa,
: A Feasibility Study on Wide Swath Observation by Spaceborne Precipitation Radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 13, 3047 - 3057, doi:10.1109/JSTARS.2020.2998724.
Yamaji, M., T. Kubota, H. G. Takahashi, A. Hamada, Y. N. Takayabu, et al.,
: Drop size distribution observed by dual-frequency precipitation radar onboard global precipitation measurement core satellite. SPIE Asia-Pacific Remote Sensing, 10782, , doi:10.1117/12.2324640.
Yamaji, M., T. Kubota, and M. K. Yamamoto,
: An Approach to Reliability Characterization of GSMaP Near-Real-Time Precipitation Product. J. Meteor. Soc. Japan, 99(3), 673-684, doi:10.2151/jmsj.2021-033.
Yamaji, M., H. G. Takahashi, T. Kubota, R. Oki, A. Hamada, and Y. N. Takayabu,
: 4-year Climatology of Global Drop Size Distribution and its Seasonal Variability Observed by Spaceborne Dual-frequency Precipitation Radar. J. Meteor. Soc. Japan, 98(4), 755-773, doi:10.2151/jmsj.2020-038.
Xu, W., S. A. Rutledge, W. Zhang,
: Relationships between Total Lightning, Deep Convection, and Tropical Cyclone Intensity Change. J. Geophys. Res. Atmos., 22, 7047-7063, doi:10.1002/2017JD027072.
Xu, W. and S. A. Rutledge,
: Time Scales of Shallow-to-Deep Convective Transition Associated with the Onset of Madden-Julian Oscillations. Geophys. Res. Letts., 43, 2880–2888, doi:10.1002/2016GL068269.
Xu, W. and S. A. Rutledge,
: Convective Variability Associated with the Boreal Summer Intraseasonal Oscillation in the South China Sea Region. J. Climate, 31, 7363-7383, doi:10.1175/JCLI-D-18-0091.1 .
Xu, B., P. Xie, M. Xu, L. Jiang, C. Shi, and R. You,
: A Validation of Passive Microwave Rain-Rate Retrievals from the Chinese FengYun-3B Satellite. J. Hydrometeor., 16, 1886-1905, doi:10.1175/JHM-D-14-0143.1.
Xie, S., Y. Zhang, S. E. Giangrande, M. P. Jensen, R. McCoy, and M. Zhang,
: Interactions between cumulus convection and its environment as revealed by the MC3E sounding array. J. Geophys. Res., 119, 11,784-11,808, doi:10.1002/2014JD022011.
Wu, W., and G. M. McFarquhar,
: On the impacts of different definitions of maximum dimension for non-spherical particles recorded by 2D imaging probes. J. Atmos. Oceanic Technol., 33, 1057–1072, doi:10.1175/JTECH-D-15-0177.1.
Wu, T.-C., M. Zupanski, L Grasso, P Brown, Kummerow, and J. Knaff,
: The GSI capability to assimilate TRMM and GPM hydrometeor retrievals in HWRF. Quart. J. Amer. Meteor. Soc., 142, 2768–2787, doi:DOI: 10.1002/qj.2867.
Wu, T.-C. and M. Zupanski,
: Assimilating GPM hydrometeor retrievals in HWRF: choice of observation operators. Atmos. Sci. Let., 18, 238–245, doi:10.1002/asl.748.
Wu, H.-T. J., and W. K. M. Lau,
: Detecting climate signals in precipitation extremes from TRMM (1998– 2013): Increasing contrast between wet and dry extremes during the “global warming hiatus”. Geophys. Res. Lett., 43, 1340-1348, doi:10.1002/2015GL067371.