GPM Refereed Publications
Jiang, L. and P. Bauer-Gottwein,
: How do GPM IMERG precipitation estimates perform as hydrological model forcing? Evaluation for 300 catchments across Mainland China. J. Hydrology, 572, 486-500, doi:10.1016/j.jhydrol.2019.03.042.
Jianga, S., L. Rena, C.-Y. Xub, B. Yonga, F. Yuana, Y. Liua, X. Yanga, and X. Zeng,
: Statistical and hydrological evaluation of the latest Integrated Multi-satellitE Retrievals for GPM (IMERG) over a midlatitude humid basin in South China. Atmos. Res., 214, 418-429, doi:10.1016/j.atmosres.2018.08.021.
Jin, D., L. Oreopoulos, D. Lee, J. Tan, and N. Cho,
: Cloud–Precipitation Hybrid Regimes and Their Projection onto IMERG Precipitation Data. J. Appl. Meteor. Climatol., 60(6), 733–748, doi:10.1175/JAMC-D-20-0253.1.
Johnson, B. T., W. S. Olson, and G. Skofronick-Jackson,
: 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.
Johnston, B. R., F. Xie, and C. Liu,
: Relationships between Extratropical Precipitation Systems and UTLS Temperatures and Tropopause Height from GPM and GPS-RO . Atmosphere, 13(2), 196, doi:10.3390/atmos13020196.
Johnston, B., F. Xie, and C. Liu,
: The effects of deep convection on regional temperature structure in the tropical upper tropopasphere and lower stratosphere. J. Geophys. Res., 123, 1585-1603, doi:10.1002/2017JD027120.
Kacimi S., N. Viltard and P. E. Kirstetter,
: A new methodology for rain identification from passive microwave data in Tropics using neural networks. Q. J. R. Meteor. Soc., 139, 912-922, doi:10.1002/qj.2114.
Kanemaru, K., T. Iguchi, T. Masaki, and T. Kubota,
: Estimates of Spaceborne Precipitation Radar Pulsewidth and Beamwidth Using Sea Surface Echo Data. IEEE Transactions on Geoscience and Remote Sensing, 58(8), 5291 - 5303, doi:10.1109/TGRS.2019.2963090.
Kanemaru, K., T. Kubota, and T. Iguchi,
: Improvements in the Beam-Mismatch Correction of Precipitation Radar Data After the TRMM Orbit Boost. IEEE Transactions on Geoscience and Remote Sensing, 57(9), 7161 - 7169, doi:10.1109/TGRS.2019.2911990.
Kanemaru, K., T. Kubota, T. Iguchi, Y. N. Takayabu, and R. Oki,
: Development of a Precipitation Climate Record from Spaceborne Precipitation Radar Data. Part I: Mitigation of the Effects of Switching to Redundancy Electronics in the TRMM Precipitation Radar. J. Atmos. Oceanic Technol., 34(9), 2043-2057, doi:10.1175/JTECH-D-17-0026.1.
Karbalaee, N., K. Hsu, S. Sorooshian, and D. Braithwaite,
: Bias adjustment of infrared-based rainfall estimation using Passive Microwave satellite rainfall data. J. Geophys. Res. - Atmos., 122, 3859–3876, doi:10.1002/2016JD026037.
Katsumata, M., S. Mori, B. Geng, and J. Inoue,
: 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.
Kazemzadeh, M., H. Hashemi, S. Jamali, C. B. Uvo, R. Berndtsson, and G. J. Huffman,
: Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations. Rem. Sens., 14(21), 5433, doi:10.3390/rs14215433.
Kazemzadeh, M., H. Hashemi, S. Jamali. C. B. Uvo, R. Berndtsson, and G. J. Huffman,
: Linear and Nonlinear Trend Analyzes in Global Satellite-Based Precipitation, 1998–2017. Earth's Future, 9(4), e2020EF001835, doi:10.1029/2020EF001835.
Keem, M., B.-C. Seo, W. F. Krajewski, and K. R. Morris,
: Inter-comparison of reflectivity measurements between GPM DPR and NEXRAD Radars. Atmos. Res., 226, 49-65, doi:10.1016/j.atmosres.2019.04.010.
Keylock C. J., A. Singh, P. Passalacqua, and E. Foufoula-Georgiou,
: Hölder-Conditioned Hypsometry: A Refinement to a Classical Approach for the Characterization of Topography. Water Resources Research, 56(5), e2019WR025412, doi:10.1029/2019WR025412.
Khan, S., and V. Maggioni,
: Evaluating the Applicability of the PUSH Framework to Quasi-Global Infrared Precipitation Retrievals at 0.5°/Daily Spatial/Temporal Resolution. Asia-Pacific Journal of Atmospheric Sciences, 56, 629–640, doi:10.1007/s13143-020-00185-3.
Khan, S., and V. Maggioni,
: Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans . Remote Sensing, 11(3), 255, doi:10.3390/rs11030255.
Khan, S., D. B. Kirschbaum, T. A. Stanley, P. M. Amatya, and R. A. Emberson,
: Global Landslide Forecasting System for Hazard Assessment and Situational Awareness. Frontiers in Earth Science, 10, , doi:10.3389/feart.2022.878996.
Khan, S., D. Kirschbaum, and t. Stanley,
: Investigating the potential of a global precipitation forecast to inform landslide prediction. Weather and Climate Extremes, 33, 100364, doi:10.1016/j.wace.2021.100364.