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.
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.
Johnson, N. E., B. H. Tang, K. L. Corbosiero, and J. R. Moskaitis,
: Observed Downdrafts and Ventilation During the Rapid Intensity Changes of Hurricane Delta (2020). JGR Atmospheres, 130(1), e2024JD042915, doi:10.1029/2024JD042915.
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.
Kakar, N., S. Metzger, T. Schöne, M. Motagh, H. Waizy, N. A. Nasrat, M. Lazecký, F. Amelung, and B. Bookhagen,
: Interferometric Radar Satellite and In-Situ Well Time-Series Reveal Groundwater Extraction Rate Changes in Urban and Rural Afghanistan. Water Resources Research, 61(3), e2023WR036626, doi:10.1029/2023WR036626.
Kalamalla, L., and A. N. V. Satyanarayana,
: Asymmetric spatial anomaly patterns of precipitation between light and very heavy precipitation over Indian urban agglomerations. Theoretical and Applied Climatology, 156(3), 158, doi:10.1007/s00704-025-05398-y.
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.
Kang, H., H. Wang, Q. Wu, and Y. Zhang,
: Detection and Spatiotemporal Distribution Analysis of Vertically Developing Convective Clouds over the Tibetan Plateau and East Asia Using GEO-KOMPSAT-2A Observations. Rem. Sens., 17(8), 1427, doi:10.3390/rs17081427.
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.