GPM Refereed Publications
Liu, H., X. Huang, J. Fei, X. Cheng, X. Li, C. Zeng, C. Zhang, Z. Wu, and W. Yang,
: Multiscale Processes Modulating the Duration of Extremely Persistent Heavy Rainfall: A Comparative Study of Two Winter Events. JGR Atmospheres, 130(16), e2025JD043557, doi:10.1029/2025JD043557.
Liu, H., X. Liu, C. Liu, Y. Yun,
: High-resolution regional climate modeling of warm-season precipitation over the Tibetan Plateau: Impact of grid spacing and convective parameterization. Atmos. Res., 281, 106498, doi:10.1016/j.atmosres.2022.106498.
Liu, H., Z. Dong, B. Baoligao, V. Phetpaseuth, T. Chandalasane, W. Chen, X. Mu, D. Liu, L. Chen, X. Li, H. Hu, and J. Wen,
: Performance of datasets in hydrological simulation in various basin scales：An investigation on hydrological lumped effect in the Lancang-Mekong region. Journal of Hydrology: Regional Studies, 62, 102769, doi:10.1016/j.ejrh.2025.102769.
Liu, H., Z. Wei, and X. Nie,
: Assessing the Relationship between Freshwater Flux and Sea Surface Salinity. Rem. Sens., 14(9), 2149, doi:10.3390/rs14092149.
Liu, J., B. Huang, L. Chen, J. Yang, and X. Chen,
: Evaluation of GPM and TRMM and Their Capabilities for Capturing Solid and Light Precipitations in the Headwater Basin of the Heihe River. Atmosphere, 14(3), 453, doi:10.3390/atmos14030453.
Liu, J., D. Hughes, F. Rahmani, K. Lawson, and C. Shen,
: Evaluating a global soil moisture dataset from a multitask model (GSM3 v1.0) with potential applications for crop threats. Geoscientific Model Development, 16(5), 1553–1567, doi:10.5194/gmd-16-1553-2023.
Liu, J., J. Chen, J. Yin, T. Su, L. Xiong, and J. Xia,
: Understanding compound extreme precipitations preconditioned by heatwaves over China under climate change. Environ. Res. Letts., 19(6), 064077, doi:10.1088/1748-9326/ad50ee.
Liu, J., J. Du, Y. Yang, and T. Zhu,
: Chapter: Evaluation of GPM IMERG satellite precipitation product by using of ground-based data over the Yangtze River Basin. Book: Deep Rock Mechanics: From Research to Engineering, , 191-198, doi:https://www.taylorfrancis.com/books/9781351042659/chapters/10.1201/9781351042666-19.
Liu, J., J. Du, Y. Yang, and Y. Wang,
: Evaluating extreme precipitation estimations based on the GPM IMERG products over the Yangtze River Basin, China. Geomatics, Natural Hazards and Risk, 11(1), 601-618, doi:10.1080/19475705.2020.1734103.
Liu, K., J. He, and H. Chen,
: Precipitation Retrieval from Fengyun-3D Microwave Humidity and Temperature Sounder Data Using Machine Learning. Rem. Sens., 14(4), 848, doi:10.3390/rs14040848.
Liu, L., K. Zhang, Y. Zhang, Tao Lin, W. Sun, H. Sun, P. Song, W. Liu, B. Xiong, D. Ren, and J. Huang,
: SMN-AgroCLA: a deep learning framework with sequential midrange normalization for enhanced rice yield prediction using remote sensing data. GIScience & Remote Sensing, 62(1), 2569964, doi:10.1080/15481603.2025.2569964.
Liu, M., H. Wang, H. Zhai, X. Zhang, M. Shakir, J. Ma, and W. Sun,
: Identifying thresholds of time-lag and accumulative effects of extreme precipitation on major vegetation types at global scale. Agricultural and Forest Meteorology, 358, 110239, doi:10.1016/j.agrformet.2024.110239.
Liu, M., H. Zhai, X. Zhang, X. Dong, J. Hu, J. Ma, and W. Sun,
: Time-lag and accumulation responses of vegetation growth to average and extreme precipitation and temperature events in China between 2001 and 2020. Science of The Total Environment, 945, 174084, doi:10.1016/j.scitotenv.2024.174084.
Liu, N., and C. Liu,
: Global distribution of deep convection reaching tropopause in 1 year GPM observations. J. Geophys. Res., 121, 3824-3842, doi:10.1002/2015JD024430.
Liu, N., and C. Liu,
: Synoptic environments and characteristics of convection reaching the tropopause over Northeast China. Mon. Wea. Rev., 146, 745-759, doi:10.1175/MWR-D-17-0245.1.
Liu, N., C. Liu, and L. Hayden,
: Climatology and Detection of Overshooting Convection From 4 Years of GPM Precipitation Radar and Passive Microwave Observations. JGR Atmospheres, 125(7), e2019JD032003, doi:10.1029/2019JD032003.
Liu, N., C. Liu, and P. Tissot,
: A Bayesian-like approach to describe the regional variation of high-flash rate thunderstorms from thermodynamic and kinematic environment variables. J. Geophys. Res., 124(23), 12507–12522, doi:10.1029/2019JD031254.
Liu, N., C. Liu, and P. Tissot,
: Relative Importance of Large-Scale Environmental Variables to the World-Wide Variability of Thunderstorms. J. Geophys. Res., 127, e2021JD036065, doi:10.1029/2021JD036065.
Liu, N., C. Liu, and T. Lavigne,
: The variation of the intensity, height and size of precipitation systems along with EL Nino-Southern Oscillation in the tropics and subtropics. J. Climate, 32, 4281–4297, doi:10.1175/JCLI-D-18-0766.1.
Liu, N., C. Liu, B. Chen, and E. Zipser,
: What Are the Favorable Large-Scale Environments for the Highest-Flash-Rate Thunderstorms on Earth?. J. Atmos. Sci., 77(5), 1583–1612, doi:10.1175/JAS-D-19-0235.1.