GPM Refereed Publications
Kumar, S., Y.-S. Vidal, A. S. Moya-Álvarez, and D. Martínez-Castro,
: Effect of the surface wind flow and topography on precipitating cloud systems over the Andes and associated Amazon basin: GPM observations. Atmos. Res., 225, 193-208, doi:10.1016/j.atmosres.2019.03.027.
Kumjian, M. R. and O. P. Prat,
: The Impact of Raindrop Collisional Processes on the Polarimetric Radar Variables. J. Atmos. Sci., 71, 3052-3067, doi:10.1175/JAS-D-13-0357.1.
Kumjian, M. R., S. Mishra, S. E. Giangrande, T. Toto, A. V. Ryzhkov, and A. Bansemer,
: Polarimetric radar and aircraft observations of saggy bright bands during MC3E. J. Geophys. Res., 121, 3584-3607, doi:10.1002/2015JD024446.
Kummerow, C. D., D. L. Randel, M. Kulie, N.-Y. Wang, R. Ferraro, S. J. Munchak, and V. Petkovic,
: The Evolution of the Goddard Profiling Algorithm to a Fully Parametric Scheme. J. Atmos. Oceanic Technol., 32, 2265-2280, doi:10.1175/JTECH-D-15-0039.1.
Kummerow, C., and P. Brown,
: The Annual Cycle of the Tropical Ocean Water Balance as Seen by the GEWEX Integrated Product. J. Climate, 38(18), 4807–4824, doi:10.1175/JCLI-D-24-0638.1.
Kuntla, S. K., M. Saharia, P.E. Kirstetter,
: Global-scale characterization of streamflow extremes. J. Hydrology, 615(Part A), , doi:10.1016/j.jhydrol.2022.128668.
Kuo, K.-S., E. Smith, Z. Haddad, E. Im, T. Iguchi, and A. Mugnai,
: Mathematical-Physical Framework for Retrieval of Rain DSD Properties from Dual-Frequency Ku-Ka-Band Satellite Radar. J. Atmos. Sci., 61, 2349-2369, doi:10.1175/1520-0469(2004)0612.0.CO;2.
Kurek, M. R., R. Muniz, J. M. S. Moura, B. Peucker-Ehrenbrink, R. M. Holmes, A. M. McKenna, and R. G. M. Spencer,
: Long-Term and Seasonal Drivers of Organic Matter in the Clearwater Tapajós River and Implications for the Amazon River Basin. Global Biochemical Cycles, 39(6), e2025GB008545, doi:10.1029/2025GB008545.
Lai, H.-W., Ti. Ou, A. Dai, X. Chen, and A. Chen,
: Diurnal Cycle of Summer Precipitation Over Mainland Southeast Asia Revealed by Observations, Reanalysis, and Dynamic Downscaling. JGR Atmospheres, 130(11), e2024JD043020, doi:10.1029/2024JD043020.
Lamer, K., B. P. Treserras, Z. Zhu, B. Isom, N. Bharadwaj, and P. Kollias,
: Characterization of shallow oceanic precipitation using profiling and scanning radar observations at the Eastern North Atlantic ARM observatory. Atmos. Meas. Tech., 12, 4931–4947, doi:10.5194/amt-12-4931-2019.
Lang, S. E. and W.-K. Tao,
: The Next-Generation Goddard Convective–Stratiform Heating Algorithm: New Tropical and Warm-Season Retrievals for GPM. J. Climate, 31(15), 5997–6026, doi:10.1175/JCLI-D-17-0224.1.
Lang, S. E., W.-K. Tao, J.-D. Chern, D. Wu, and X. Li,
: Benefits of a Fourth Ice Class in the Simulated Radar Reflectivities of Convective Systems Using a Bulk Microphysics Scheme. J. Atmos. Sci., 71, 3583-3612, doi:10.1175/JAS-D-13-0330.1.
Lang, T. J.,
: Comparing Winds near Tropical Oceanic Precipitation Systems with and without Lightning. Remote Sensing, 12(23), 3968, doi:10.3390/rs12233968.
Lang, T. J., and S. D. Bang,
: Exploring the Scientific Utility of Combined Spaceborne Lidar and Lightning Observations of Thunderstorms. Earth and Space Science, 9(8), e2022EA002400, doi:10.1029/2022EA002400.
Lang, T. J., N. Østgaard, M. Marisaldi, M. G. Quick, C. J. Schultz, I. Adams, C. G. Amiot, P. Bitzer, R. J. Blakeslee, R. G. Brown, K. Carmer, H. Christian, A. Clark, M. Cohen, S. Cummer, M. Füllekrug, J. E. Grove, S. Harkema, G. Heymsfield, P. Krehbiel, R. Kroodsma, R. Longenbaugh, D. Mach, M. Walker McLinden, A. Mezentsev, J. Montanyà, M. Pazos, D. Sarria, D. Shy, M. A. Stanley, R. Thomas, T. D. Walker, and C. Younes,
: Hunting for Gamma Rays above Thunderstorms: The ALOFT Campaign. Bull. Amer. Meteorol. Soc., 106(8), E1649–E1669, doi:10.1175/BAMS-D-24-0060.1.
Lasser, M. S. O, and U. Foelsche,
: Evaluation of GPM-DPR precipitation estimates with WegenerNet gauge data. Atmos. Meas. Tech., 12, 5055-5070, doi:10.5194/amt-12-5055-2019.
Lau, A., and A. Behrangi,
: Understanding Intensity–Duration–Frequency (IDF) Curves Using IMERG Sub-Hourly Precipitation against Dense Gauge Networks. Remote Sensing, 14(19), 5032, doi:10.3390/rs14195032.
Lau, W. K. M., J. J. Shi, W. K. Tao, and K. M. Kim,
: What would happen to Superstorm Sandy under the influence of a substantially warmer Atlantic Ocean?. Geophys. Res. Lett., 42, 802-811, doi:10.1002/2015GL067050.
Laverde-Barajas, M., G.A. Corzo, A. Poortinga, F. Chishtie, C. Meechaiya, S. Jayasinghe, P. Towashiraporn, A. Markert, D. Saah, L. Hung Son, S. Khem, S. Boonya-Aroonnet, W. Chaowiwat, R. Uijlenhoet, and D. P. Solomatine,
: ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite. Rem. Sens., 12(21), 3538, doi:10.3390/rs12213538 .
Lavigne, T, and C. Liu,
: How does the trend in thunder-days related to the variation of lightning flash density?. J. Geophys. Res., 124, 4955–4974, doi:10.1029/2018JD029920.