GPM Refereed Publications
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, 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 .
Karagiorgos, J., P. Patlakas, V. Vervatis, and S. Sofianos,
: The Role of Ocean Penetrative Solar Radiation in the Evolution of Mediterranean Storm Daniel. Rem. Sens., 17(15), 2684, doi:10.3390/rs17152684.
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.
Karmakar, S., J. R. Rajeswari, D. Kundu, C. V. Srinivas, S. Chandrasekaran, and B. Venkatraman,
: Sensitivity of horizontal resolution and land surface model in operational WRF forecast for Online Nuclear Emergency Response System (ONERS). Meteorology and Atmospheric Physics, 136, 44, doi:10.1007/s00703-024-01032-0.
Karpowicz, B. M., Y. Zhu, S. J. Munchak, and W. McCarty,
: Assessment of Retrieved GMI Emissivity over Land, Snow, and Sea Ice in the GEOS System. J. Atmos. Oceanic Technol., 39(10), 1433–1443, doi:10.1175/JTECH-D-21-0187.1.
Kartavykh, M. S., K. N. Pustovalov, and P. M. Nagorskiy,
: Verification of GPM IMERG data on the total precipitation in Western Siberia in the warm season. Proceedings Volume 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, , 130, doi:10.1117/12.2644772.
Kartsios, S., I. Pytharoulis, T. Karacostas, V. Pavlidis, and E. Katragkou,
: Verification of a global weather forecasting system for decision-making in farming over Africa. Acta Geophysica, 72, 467–488, doi:10.1007/s11600-023-01136-y.
Kashyap, R., J. Kuttippurath, and V. K. Patel,
: Improved air quality leads to enhanced vegetation growth during the COVID–19 lockdown in India. Applied Geography, 151, 102869, doi:10.1016/j.apgeog.2022.102869.
Kashyap, R., A. C. Pandey, and J. Kuttippurath,
: Photosynthetic trends in India derived from remote sensing measurements during 2000–2019: vegetation dynamics and key climate drivers. Geocarto International, 37(26), 11813-11829, doi:10.1080/10106049.2022.2060325.
Kashyap, R., and J. Kuttippurath,
: Unraveling the Sensitivity and Response of Ecosystems to Rising Moisture Stress in India. Ecosystem Health and Sustainability, 10, 0180, doi:10.34133/ehs.0180.