GPM Refereed Publications
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 P and A K Varma,
: Assimilation of INSAT-3D hydro-estimator method retrieved rainfall for short-range weather prediction. Quarterly Journal of Royal Meteorological Society, 143(702), 384-394, doi:10.1002/qj.2929.
Kumar P., A. K. Varma, T. Kubota, M. Yamaji, T. Tashima, T. Mega, and T. Ushio,
: Long-Term, High-Resolution Gauge Adjusted Satellite Rainfall Product over India. Earth and Space Sciencce, 9(12), e2022EA002595, doi:10.1029/2022EA002595.
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, P.,
: Assimilation of the Rain Gauge Measurements Using Particle Filter. Earth and Space Science, 7(10), e2020EA001212, doi:10.1029/2020EA001212.
Kumar, P., and C. M. Kishtawal,
: Importance of satellite-retrieved rain/no-rain information on short-range weather predictions. Int'l Journal of Remote Sensing, 38(13), 3851-3864, doi:10.1080/01431161.2017.1306140.
Kumar, P., C. M. Kishtawal, and P. K. Pal,
: Impact of satellite rainfall assimilation on Weather Research and Forecasting model predictions over the Indian region. JGR Atmospheres, 119(5), 2017-2031, doi:10.1002/2013JD020005.
Kumar, P., R. Gairola, T. Kubota, and C. Kishtawal,
: Hybrid Assimilation of Satellite Rainfall Product with High Density Gauge Network to Improve Daily Estimation: A Case of Karnataka, India. Journal of the Meteorological Society of Japan. Ser. II, 99(3), 741-763, doi:10.2151/jmsj.2021-037.
Kumar, P., S. S. Srivastava, N. Jivani, A. K. Varma, C. Yokoyama, and T. Kubota,
: Long-term assessment of ERA5 reanalysis rainfall for lightning events over India observed by Tropical Rainfall Measurement Mission Lightning Imaging Sensor. Q. J. Royal Meteor. Soc., 150(761), 2472-2488, doi:10.1002/qj.4719.
Kumar, P., S. S. Srivastava, N. Jivani, A. K. Varma, C. Yokoyama, and T. Kubota,
: Long-term assessment of ERA5 reanalysis rainfall for lightning events over India observed by Tropical Rainfall Measurement Mission Lightning Imaging Sensor. Quarterly Journal of the Royal Meteorological Society, 150(761), 2472-2488, doi:10.1002/qj.4719.
Kumar, P., U. K. Gupta, M. K. Yamamoto, and T. Kubota,
: Long-term evaluation of CHIRPS and GSMaP_ISRO rainfall estimates for Indian summer monsoon (2000–2022). Rem. Sens. Appl.: Society and Environ., 39, 101627, doi:10.1016/j.rsase.2025.101627.
Kumar, R., A. K. Varma, A. Mishra, R. M. Gairola, I. Das, A. Sarkar, and V. K. Agarwal,
: Comparison of TRMM TMI and PR Version 5 and 6 Precipitation Data Products Under Cyclonic Weather Conditions. IEEE-Geoscience and Remote Sensing Letters, 6(3), 378-382, doi:10.1109/LGRS.2009.2014257.
Kumar, S., Y. Silva, A. S. Moya-Alvarez, and D. Martınez-Castro,
: Seasonal and Regional Differences in Extreme Rainfall Events and Their Contribution to the World’s Precipitation: GPM Observations. Adv. Meteor., 2019, 4631609, doi:10.1155/2019/4631609.