GPM Refereed Publications
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.
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., 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.
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.
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.
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.
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., 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,
: 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., V. Chandrasekar, and S. Biswas,
: Evaluation and Validation of GPM Dual-Frequency Classification Module after Launch . J. Atmos. Oceanic Technol., 33, 2699–2716, doi:10.1175/JTECH-D-15-0253.1.
Le, P. V. V., J. T. Randerson, R. Willett, S. Wright, P. Smyth, C. Guilloteau, A. Mamalakis, and E. Foufoula-Georgiou,
: Climate-driven changes in the predictability of seasonal precipitation. Nature Communications, 14, 3822, doi:10.1038/s41467-023-39463-9.
Le, P. V.V., C. Guilloteau, A. Mamalakis, E. Foufoula-Georgiou,
: Underestimated MJO Variability in CMIP6 Models. Geophys. Res. Lett., 48(12), e2020GL092244, doi:10.1029/2020GL092244.
Leinonen, J., M. D. Lebsock, S. Tanelli, O. O. Sy, B. Dolan, R. J. Chase, J. A. Finlon, A. von Lerber, and D. Moisseev,
: Retrieval of snowflake microphysical properties from multifrequency radar observations. Atmos. Meas. Tech., 11, 5471–5488, doi:10.5194/amt-11-5471-2018.
Lengfeld, K., P. E. Kirstetter, H. J. Fowler, J. Yu, and A. Becker,
: Use of radar data for characterizing extreme precipitation at fine scales and short durations. Environ. Res. Lett., 15(8), 085003, doi:10.1088/1748-9326/ab98b4.
Leppert, K. D. II, and D. J. Cecil,
: Sensitivity of Simulated GMI Brightness Temperatures to Variations in Particle Size Distributions in a Severe Hailstorm. J. Appl. Meteor. Climatol., 58(9), 1905–1930, doi:10.1175/JAMC-D-19-0031.1.
Leppert, K. D., and D. J. Cecil,
: Signatures of Hydrometeor Species from Airborne Passive Microwave Data for Frequencies 10–183 GHz. J. Appl. Meteor. Climatol., 54, 1313-1334, doi:10.1175/JAMC-D-14-0145.1.
Levizzani, V., and C. Kidd,
: Chapter One - Quantitative precipitation estimation from satellite observations. Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment, , 3-39, doi:0.1016/B978-0-12-814899-0.00001-8.