GPM Refereed Publications
Jensen, M. P., W. A. Petersen, A. Bansemer, N. Bharadwaj, L. D. Carey, D. J. Cecil, S. M. Collis, A. D. Del Genio, B. Dolan, J. Gerlach, S. E. Giangrande, A. Heymsfield, G. Heymsfield, P. Kollias, T. J. Lang, S. W. Nesbitt, A. Neumann, M. Poellot, S. A. Rutledge, M. Schwaller, A. Tokay, C. R. Williams, D. B. Wolff, S. Xie, and E. J. Zipser,
: The Midlatitude Continental Convective Clouds Experiment (MC3E). Bull. Amer. Meteor. Soc., 97, 1667-1686, doi:10.1175/BAMS-D-14-00228.1.
Ji, L., and A. P. Barros,
: Toward Building a Virtual Laboratory to Investigate Rainfall Microphysics at Process Scales. J. Atmos. Sci., 81(6), 999–1017, doi:10.1175/JAS-D-23-0121.1.
Jian, H.-W., W.-T. Chen, P.-J. Chen, C.-M. Wu, and K. I. Rasmussen,
: The Synoptically-Influenced Extreme Precipitation Systems over Asian-Australian Monsoon Region Observed by TRMM Precipitation Radar. J. Meteor. Soc. Japan, 99(2), 269-285, doi:10.2151/jmsj.2021-013.
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.
Jiao, J., Y. Pan, X. Cui, M. Xiaoming, A. Hussein, and H. Ding,
: Evaluation of runoff variability in transboundary basins over High Mountain Asia: Multi-dataset merging based on satellite gravimetry constraint. Remote Sensing of Environment, 316, 114493, doi:10.1016/j.rse.2024.114493.
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.
Jones, S. R., and C. D. Kummerow,
: Improved High-Latitude Light Precipitation Estimation Using a Combined Radiometer-Cloud Radar Retrieval. J. Geophys. Res.: Atmos., 130(4), e2024JD043111, doi:10.1029/2024JD043111.
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.
Kang, H., and A. Abtehaj,
: Machine Learning for Explanation of Subgrid Convective Precipitation: A Case Study over CONUS Using a Convection-Allowing Model and SHAP Analysis. Artificial Intelligence for the Earth Systems, 4(1), , doi:10.1175/AIES-D-24-0062.1.
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.