GPM Refereed Publications
Koppa, A., and M. Gebremichael,
: Improving the Applicability of Hydrologic Models for Food–Energy–Water Nexus Studies Using Remote Sensing Data. Rem. Sens., 12(4), 599, doi:10.3390/rs12040599.
Koteshwaramma, T., K. S. Singh, and S. Nayak,
: The Performance of a High-Resolution WRF Modelling System in the Simulation of Severe Tropical Cyclones over the Bay of Bengal Using the IMDAA Regional Reanalysis Dataset. Climate, 13(1), 17, doi:10.3390/cli13010017.
Kotrike, T., V. R. Keesara, and V. Sridhar,
: Analysis of the causes of extreme precipitation in major cities of Peninsular India using remotely sensed data. Remote Sensing Applications: Society and Environment, 33, 101082, doi:10.1016/j.rsase.2023.101082.
Kotsuki, S., K. Kurosawa, S. Otsuka, K. Terasaki and T. Miyoshi,
: Global Precipitation Forecasts by Merging Extrapolation-Based Nowcast and Numerical Weather Prediction with Locally Optimized Weights . Weather and Forecasting, 34(3), 701–714 , doi:10.1175/WAF-D-18-0164.1.
Kotsuki, S., K. Terasaki, H. Yashiro, H. Tomita, M. Satoh and T. Miyoshi,
: Online Model Parameter Estimation With Ensemble Data Assimilation in the Real Global Atmosphere: A Case With the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) and the Global Satellite Mapping of Precipitation Data. JGR Atmospheres, 123(14), 7375-7392, doi:10.1029/2017JD028092.
Kotsuki, S., K. Terasaki, K. Kanemaru, M. Satoh, T. Kubota T. and Miyoshi,
: Predictability of Record-Breaking Rainfall in Japan in July 2018: Ensemble Forecast Experiments with the Near-Real-Time Global Atmospheric Data Assimilation System NEXRA. SOLA, 15A, 1-7, doi:10.2151/sola.15A-001.
Kotsuki, S., T. Miyoshi, K. Terasaki, G.-Y. Lien and E. Kalnay,
: Assimilating the Global Satellite Mapping of Precipitation Data with the Nonhydrostatic Icosahedral Atmospheric Model NICAM. J. Geophys. Res., 122, 631-650, doi:10.1002/2016JD025355.
Kozu, T. and T. Iguchi,
: A Preliminary Study of Non-Uniform Beam Filling Correction for Spaceborne Radar Rainfall Measurement. Transactions of the IEICE of Japan (Communications), E79-B(6), 763-769, doi:.
Kracheletz, K., Z. Liu, A. Springer, J. Kusche, and P. Friederich,
: Would the 2021 Western Europe Flood Event Be Visible in Satellite Gravimetry?. JGR Atmospheres, 130(3), e2024JD042190, doi:10.1029/2024JD042190.
Krishna, R. P. M., S. Kumar, A. G. Prajeesh, P. Bechtold, N. Wedi, K. Roy, M. Ganai, B. R. Reddy, S. Tirkey, T. Goswami, R. Kanase, S. Sarkar, M. Deshpande, and P. Mukhopadhyay,
: Indian Institute of Tropical Meteorology (IITM) High-Resolution Global Forecast Model version 1: an attempt to resolve monsoon prediction deadlock. Geoscientific Model Development, 18(5), 1879–1894, doi:10.5194/gmd-18-1879-2025.
Krishnan, S., A. Pradhan, and J. Indu,
: Estimation of high-resolution precipitation using downscaled satellite soil moisture and SM2RAIN approach. J. Hydrology, 610, 127926, doi:10.1016/j.jhydrol.2022.127926.
Kubota, T., N. Yoshida, S. Urita, T. Iguchi, S. Seto, R. Meneghini, J. Awaka, H. Hanado, S. Kida, and R. Oki,
: Evaluation of Precipitation Estimates by at-Launch Codes of GPM/DPR Algorithms Using Synthetic Data from TRMM/PR Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 3931-3944, doi:10.1109/JSTARS.2014.2320960.
Kubota, T., T. Iguchi, M. Kojima, L. Liao, T Masaki, H. Hanado, R. Meneghini, and R. Oki,
: A Statistical Method for Reducing Sidelobe Clutter for the Ku-Band Precipitation Radar on board the GPM Core Observatory. J. Atmos. Oceanic Technol., 33, 1413-1428, doi:10.1175/JTECH-D-15-0202.1.
Kucera, P. A., E. E. Ebert, F. J. Turk, V. Levizzani, D. Kirschbaum, F. J. Tapiador, A. Loew, and M. Borsche,
: Precipitation from Space: Advancing Earth System Science . BAMS, 94(3), 365–375, doi:10.1175/BAMS-D-11-00171.1.
Kulie, M. S., C. Pettersen, A. J. Merrelli, T. J. Wagner, N. B. Wood, M. Dutter, D. Beachler, T. Kluber, R. Turner, M. Mateling, J. Lenters, P. Blanken, M. Maahn, C. Spence, S. Kneifel, P. A. Kucera, A. Tokay, L. F. Bliven, D. B. Wolff, and W. A. Petersen,
: Snowfall in the Northern Great Lakes: Lessons Learned from a Multisensor Observatory. Bull. Amer. Meteor. Soc., 102(7), E1317–E1339 , doi:10.1175/BAMS-D-19-0128.1.
Kulie, M. S., L. Milani, N. B. Wood, and T. S. L’Ecuyer,
: Global Snowfall Detection and Measurement. In: Levizzani V., Kidd C., Kirschbaum D., Kummerow C., Nakamura K., Turk F. (eds) Satellite Precipitation Measurement. Advances in Global Change Research, 69, 699-716, doi:10.1007/978-3-030-35798-6_12.
Kumach, K. K., O. Zandi, and A. Behrangi,
: Retrospective Mapping of Global Snow and Ice Cover Beyond the Satellite Observational Era. Earth and Space Science, 12(5), e2024EA004171, doi:10.1029/2024EA004171.
Kumar A., N. Sharma, A. K. Varma, and S. C. Bhan,
: Performance Evaluation of Hydro-Estimator Technique-Based Rain Products from INSAT-3DR During Indian Summer Monsoon 2020. Journal of the Indian Society of Remote Sensing, 51, 1673–1681, doi:10.1007/s12524-023-01723-y.
Kumar S., and Y. Silva,
: Vertical characteristics of radar reflectivity and DSD parameters in intense convective clouds over South East South Asia during the Indian Summer monsoon: GPM observations. Int'l J. Rem. Sens., 40(24), 9604-9628, doi:10.1080/01431161.2019.1633705.
Kumar, A., A. K. Srivastava, B. J. Mehrotra, M. K. Srivastava, and D. R. Pattanaik,
: Decadal seasonal characteristics of precipitation microphysics over the Western Ghats using the space-borne precipitation radar. Atmospheric Research, 315, 107894, doi:10.1016/j.atmosres.2024.107894.