GPM Refereed Publications
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., 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., 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., 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., 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.,
: Assimilation of the Rain Gauge Measurements Using Particle Filter. Earth and Space Science, 7(10), e2020EA001212, doi:10.1029/2020EA001212.
Kumar, M., K. Chakravarty, S. Deshpande, S. Kumar, and A. Srivastava,
: Inter-seasonal variation of rainfall microphysics as observed over New Delhi, India. Journal of Atmospheric and Solar-Terrestrial Physics, 263, 106333, doi:10.1016/j.jastp.2024.106333.
Kumar, H., T. H. Syed, F. Amelung, S. Mirzaee, A. S. Venkatesh, and R. Agrawal,
: InSAR Reveals Recovery of Stressed Aquifer Systems in Parts of Delhi, India: Evidence for Improved Groundwater Management. Water Resources Research, 61(2), e2024WR037704, doi:10.1029/2024WR037704.
Kumar, G. P., V. Saicharan, and H. R. Shwetha,
: Enhancing Spatial Resolution of GPM Rainfall Data in Upper Cauvery Basin, India: Machine Learning Approach. 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), , 1-4, doi:10.1109/InGARSS61818.2024.10984298.
Kumar, A., K. Sain, K. Kumar, P. Patidar, Meenakshi, A. Reza, A. Verma, and A. Mishra,
: Anticipating the impact of glaciers, landslides and extreme weather events on vulnerable hydropower projects and the development of an integrated multi-hazard warning system (IMWS). Sustainable Energy Technologies and Assessments, 65, 103791, doi:10.1016/j.seta.2024.103791.
Kumar, A., A. K. Srivastava, K. Sunilkumar, and M. K. Srivastava,
: Microphysical Characteristics of Cyclonic Rainfall: A GPM-DPR Based Study Over the Arabian Sea. Earth and Space Science, 10(10), e2023EA002895, doi:10.1029/2023EA002895.
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.
Kumar, A., A. H. Roy, K. M. Andreadis, X. He, and C. Butler,
: A Multi-Sensor Approach to Characterize Winter Water-Level Drawdown Patterns in Lakes. Rem. Sens., 16(6), 947, doi:10.3390/rs16060947.
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., 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.
Kumah, K. K., B. H. P. Maathuis, J. C. B. Hoedjes, and Z. Su,
: Near real-time estimation of high spatiotemporal resolution rainfall from cloud top properties of the MSG satellite and commercial microwave link rainfall intensities. Atmos. Res., 279, 106357, doi:10.1016/j.atmosres.2022.106357.
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.
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.
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.
Kukulies, J., A. F. Prein, J. Curio, H. Yu, and D. Chen,
: Kilometer-Scale Multimodel and Multiphysics Ensemble Simulations of a Mesoscale Convective System in the Lee of the Tibetan Plateau: Implications for Climate Simulations. J. Climate, 36(17), 5963–5987, doi:10.1175/JCLI-D-22-0240.1.