GPM Refereed Publications
Lee, J. C. K., and D. M. Barker,
: Development of a Hybrid Ensemble–Variational Data Assimilation System over the Western Maritime Continent. Weather and Forecasting, 38(3), 425–444, doi:10.1175/WAF-D-22-0113.1.
Lee, H.-K., M.-J. Kang, H.-Y. Chun, D. Kim, and D.-B. Shin,
: Characteristics of Latent Heating Rate From GPM and Convective Gravity Wave Momentum Flux Calculated Using the GPM Data. JGR Atmospheres, 127(17), e2022JD037003, doi:10.1029/2022JD037003.
Lee, H.-K., and H.e-Y. Chun,
: Estimations of Latent Heating Rate Using ERA5 Reanalysis Data and Comparison With GPM. Geophys. Res. Letts., 52(21), e2024GL113421, doi:10.1029/2024GL113421.
Lee, B. S., and J. Park,
: A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets. Technometrics, 65(1), 105-116, doi:10.1080/00401706.2022.2115558.
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.
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, 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, 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,
: 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,
: 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,
: 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.
Lawand, D., S. Bhakare, S. Fadnavis, R. L. Bhawar, P. R. C. Rahul, P. K. Pallath, and S. Lolli,
: Variability of Aerosols and Clouds Over North Indian and Myanmar During the COVID-19 Lockdown Period. Frontiers in Environmental Science, 10, 838778, doi:10.3389/fenvs.2022.838778.
Lawal, Y. B., P. A. Owolawi, C. Tu, E. Van Wyk and J. S. Ojo,
: Stochastic Dynamical Modeling for Time-series Zero-Degree Isotherm Heights Prediction over Tropical Climate. IOP Conf. Ser.: Earth Environ. Sci., 1428(1), 012017, doi:10.1088/1755-1315/1428/1/012017.
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 .