GPM Refereed Publications
Junnaedhi, I. D. G. A., A. Inagaki, M. R. Ferdiansyah, and M. Kanda,
: Seasonal sea breeze variation analysis based on multi-year near-surface observations in Jakarta, Indonesia. International Journal of Climatology, 43(11), 5177-5195, doi:10.1002/joc.8139.
Junqueira, R., M. R. Viola, J. da S. Amorim, C. Camargos, and C. R. de Mello,
: Hydrological modeling using remote sensing precipitation data in a Brazilian savanna basin. Journal of South American Earth Sciences, 115, 103773, doi:10.1016/j.jsames.2022.103773.
Jury, M. R.,
: Resolution-Dependent Perspectives on Caribbean Hydro-Climate Change. Hydrology, 7(4), 93, doi:10.3390/hydrology7040093.
Jury, M. R.,
: Diurnal summer climate of the Abyssinia highlands. Int'l J. Climatology, 40(10), 4575-4585, doi:10.1002/joc.6476.
Jury, M. R.,
: Observed formation of easterly waves over northeast Africa. Meteorology and Atmospheric Physics, 130(3), 279–293, doi:10.1007/s00703-017-0520-2.
Jury, M. R., and D. Bernard,
: Nocturnal Rainfall East of the Antilles Islands. Atmosphere-Ocean, 59(4-5), 201-213, doi:10.1080/07055900.2021.1995317.
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.
Kalore, S. A., and G.L. Sivakumar Babu,
: Hydraulic design of granular and geocomposite drainage layers in pavements based on demand-capacity modeling. Geotextiles and Geomembranes, 51(5), 131-143, doi:10.1016/j.geotexmem.2023.06.001.
Kalore, S., V. Yashas, A. Bagrecha, J. Nypunya, and G. L. Sivakumar Babu,
: Climate responsive design for road surface drainage systems: a case study for city of Bengaluru. Urban Water Journal, 21(3), 295-307, doi:10.1080/1573062X.2023.2287049.
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.
Kang, M.-J., H.-Y. Chun, and R. R. Garcia,
: Role of equatorial waves and convective gravity waves in the 2015/16 quasi-biennial oscillation disruption. Atmospheric Chemistry and Physics, 20(23), 14669–14693, doi:10.5194/acp-20-14669-2020.
Kang, X., Ji. Dong, W. T. Crow, L. Wei, and H. Zhang,
: The Conditional Bias of Extreme Precipitation in Multi-Source Merged Data Sets. Geophys. Res. Letts., 51(22), e2024GL111378, doi:10.1029/2024GL111378.
Kang, Y., M. Kim, E. Kang, D. Cho, and J. Im,
: Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia. ISPRS Journal of Photogrammetry and Remote Sensing, 183, 253-268, doi:10.1016/j.isprsjprs.2021.11.016 .
Kang, Y., Z. Lu, C. Zhao, Y. Xu, J.-W. Kim, and A. J. Gallegos,
: InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California. Remote Sensing of Environment, 258, 112400, doi:10.1016/j.rse.2021.112400.