GPM Refereed Publications
Kubota, T., N. Yoshida, S. Urita, T. Iguchi, S. Seto, R. Meneghini, J. Awaka, H. Hanado, S. Kida, and R. Oki,
: 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.
Krishnan, S., A. Pradhan, and J. Indu,
: Estimation of high-resolution precipitation using downscaled satellite soil moisture and SM2RAIN approach. J. Hydrology, 610, 127926, doi:10.1016/j.jhydrol.2022.127926.
Kozu, T. and T. Iguchi,
: A Preliminary Study of Non-Uniform Beam Filling Correction for Spaceborne Radar Rainfall Measurement. Transactions of the IEICE of Japan (Communications), E79-B(6), 763-769, doi:.
Kotsuki, S., T. Miyoshi, K. Terasaki, G.-Y. Lien and E. Kalnay,
: 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.
Kotsuki, S., K. Terasaki, K. Kanemaru, M. Satoh, T. Kubota T. and Miyoshi,
: Predictability of Record-Breaking Rainfall in Japan in July 2018: Ensemble Forecast Experiments with the Near-Real-Time Global Atmospheric Data Assimilation System NEXRA. SOLA, 15A, 1-7, doi:10.2151/sola.15A-001.
Kotsuki, S., K. Terasaki, H. Yashiro, H. Tomita, M. Satoh and T. Miyoshi,
: Online Model Parameter Estimation With Ensemble Data Assimilation in the Real Global Atmosphere: A Case With the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) and the Global Satellite Mapping of Precipitation Data. JGR Atmospheres, 123(14), 7375-7392, doi:10.1029/2017JD028092.
Kotsuki, S., K. Kurosawa, S. Otsuka, K. Terasaki and T. Miyoshi,
: Global Precipitation Forecasts by Merging Extrapolation-Based Nowcast and Numerical Weather Prediction with Locally Optimized Weights . Weather and Forecasting, 34(3), 701–714 , doi:10.1175/WAF-D-18-0164.1.
Koppa, A., and M. Gebremichael,
: Improving the Applicability of Hydrologic Models for Food–Energy–Water Nexus Studies Using Remote Sensing Data. Rem. Sens., 12(4), 599, doi:10.3390/rs12040599.
Komatsu, K. K., Y. Iijima, Y. Kaneko, and D. Oyunbaatar,
: Validation of GSMaP Products for a Heavy Rainfall Event over Complex Terrain in Mongolia Captured by the GPM Core Observatory. J. Meteor. Soc. Japan, 99(4), 1003-1022, doi:10.2151/jmsj.2021-048.
Kobayashi, T., M. Nomura, A. Adachi, S. Sugimoto, N. Takahashi, and H. Hirakuchi,
: Retrieval of Attenuation Profiles from the GPM Dual-frequency Radar Observations. J. Meteor. Soc. Japan, 99(3), 603-620, doi:10.2151/jmsj.2021-030.
Kobayashi, S., and T. Iguchi,
: Variable Pulse Repetition Frequency for the Global Precipitation Measurement Project (GPM). IEEE Transactions on Geoscience and Remote Sensing, 41(7), 1714-1718, doi:10.1109/TGRS.2003.813700.
Kobayashi, K., S. Shige, and M. K. Yamamoto,
: Vertical gradient of stratiform radar reflectivity below the bright band from the tropics to the extratropical latitudes seen by GPM. Q. J. R. Meteorol. Soc., 144(Suppl. 1), 165-175, doi:10.1002/qj.3271.
Kneifel, S., J. Leinonen, J. Tyynela, D. Ori, and A. Battaglia,
: Scattering of Hydrometeors. In: Levizzani V., Kidd C., Kirschbaum D., Kummerow C., Nakamura K., Turk F. (eds) Satellite Precipitation Measurement. Advances in Global Change Research, 67, 249-276, doi:10.1007/978-3-030-24568-9_15.
Kirstetter, P.E., Y. Hong, J.J. Gourley, S. Chen, Z. Flamig, J. Zhang, M. Schwaller, W. Petersen and E. Amitai,
: 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.
Kirstetter, P.E., Y. Hong, J.J. Gourley, M. Schwaller, W. Petersen and J. Zhang,
: Comparison of TRMM 2A25 Products Version 6 and Version 7 with NOAA/NSSL Ground Radar-based National Mosaic QPE. J. Hydrometeor., 14(2), 661-669, doi:10.1175/JHM-D-12-030.1.
Kirstetter, P.E., N. Viltard and M. Gosset,
: An error model for instantaneous satellite rainfall estimates: evaluation of BRAIN-TMI over West Africa. Q. J. R. Meteor. Soc., 139, 894-911, doi:10.1002/qj.1964.
Kirstetter, P.E., J.J. Gourley, Y. Hong, J. Zhang, S. Moazamigoodarzi, C. Langston, and A. Arthur,
: 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, Q. Cao, M. Schwaller, and W. Petersen,
: 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., N. Karbalaee, K. Hsu, and Y. Hong,
: Probabilistic Precipitation Rate Estimates with Space-based Infrared Sensors. Q. J. R. Meteor. Soc., 144, 191-205, doi:10.1002/qj.3243.
Kirschbaum, D., S. Kapnick, T. Stanley, and S. Pascale,
: Changes in Extreme Precipitation and Landslides Over High Mountain Asia. Geophysical Research Letters, 47(4), e2019GL085347, doi:10.1029/2019GL085347.