GPM Refereed Publications
Le, M., and V. Chandrasekar,
: Graupel and Hail Identification Algorithm for the Dual-frequency Precipitation Radar (DPR) on the GPM Core Satellite. J. Meteor. Soc. Japan, 99(1), 49-65, doi:10.2151/jmsj.2021-003.
Le, M., and V. Chandrasekar,
: Hydrometeor Profile Characterization Method for Dual-Frequency Precipitation Radar Onboard the GPM. IEEE Transactions on Geoscience and Remote Sensing, 51(6), 3648-3658, doi:10.1109/TGRS.2012.2224352.
Le, M., and V. Chandrasekar,
: Hail Identification Algorithm for DPR Onboard the GPM Satellite. IEEE Transactions on Geoscience and Remote Sensing, 61, 4106114 , doi:10.1109/TGRS.2023.3320972.
Le, M. and V. Chandrasekar,
: Ground Validation of Surface Snowfall Algorithm in GPM Dual-Frequency Precipitation Radar. J. Atmos. Oceanic Technol., 36(4), 607–619, doi:10.1175/JTECH-D-18-0098.1.
Le, M, V. Chandrasekar and S. Biswas,
: An Algorithm to Identify Surface Snowfall From GPM DPR Observations. IEEE Transactions on Geoscience and Remote Sensing, 55, 4059-4071, doi:10.1109/TGRS.2017.2687420.
Laviola, S., V. Levizzani, E. Cattani, and C. Kidd,
: The 183-WSL fast rain rate retrieval algorithm. Part II: Validation using ground radar measurements. Atmospheric Research, 134, 77-86, doi:10.1016/j.atmosres.2013.07.013.
Laviola, S., G. Monte, V. Levizzani, R. R. Ferraro, and J. Beauchamp,
: A New Method for Hail Detection from the GPM Constellation: A Prospect for a Global Hailstorm Climatology . Remote Sensing, 12(21), 3553, doi:10.3390/rs12213553.
Lavigne, T., C. Liu, W. Deierling, and D. Mach,
: Relationship between the global electric circuit and electrified cloud parameters at diurnal, seasonal and interannual timescales. J. Geophys. Res., 122, 8525–8542, doi:10.1002/2016JD026442.
Lavigne, T., and C. Liu,
: Relationships among diurnal variations of polar night cloud, precipitation, surface temperatures, and the fair-weather return current of the global electric circuit (GEC). J. Atmos. Solar. Terr. Phys., 244, 106026, doi:10.1016/j.jastp.2023.106026.
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.
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 .
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.
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.
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.
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.,
: Comparing Winds near Tropical Oceanic Precipitation Systems with and without Lightning. Remote Sensing, 12(23), 3968, doi:10.3390/rs12233968.
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, 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.
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.
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.