GPM Refereed Publications
Gyawali, B., M. Ahmed, D. Murgulet, and D. N. Wiese,
: Filling Temporal Gaps within and between GRACE and GRACE-FO Terrestrial Water Storage Records: An Innovative Approach. Rem. Sens., 14(7), 1565, doi:10.3390/rs14071565.
Habiboullah, A., and M. El Ghassem,
: Satellite Composite Image Based Approach for Flood Forecasting Using a Conditional Latent Model. 2024 16th International Conference on Computer and Automation Engineering (ICCAE), , 447-455, doi:10.1109/ICCAE59995.2024.10569303.
Hagos, S., Z. Feng, A. C. Varble, S.-L. Tai, and J. Chen,
: The Impacts of Rotational Mixing on the Precipitation Simulated by a Convection Permitting Model. J. Advances Modeling Earth Systems, 17(5), e2024MS004524, doi:10.1029/2024MS004524.
Haji-Aghajany, S., S. Izanlou, M. Tasan, W. Rohm, and M. Kryza,
: High-resolution GNSS troposphere tomography through explainable deep learning-based downscaling framework. Satellite Navigation, 6, 22, doi:10.1186/s43020-025-00177-6.
Halefom, A., Y. He, T. Nemoto, L. Feng, R. Li, V. Raghavan, G. Jing, X. Song, and Z. Duan,
: The Impact of Urbanization-Induced Land Use Change on Land Surface Temperature. Rem. Sens., 16(23), 4502, doi:10.3390/rs16234502.
Halladay, K., R. Kahana, B. Johnson, C. Still, G. Fosser, and L. Alves,
: Convection-permitting climate simulations for South America with the Met Office Unified Model. Climate Dynamics, 61, 5247–5269, doi:10.1007/s00382-023-06853-0.
Hamada, A. and Y. N. Takayabu,
: Improvements in Detection of Light Precipitation with the Global Precipitation Measurement Dual-Frequency Precipitation Radar (GPM/DPR). J. Atmos. Oceanic Technol., 33, 653–667, doi:10.1175/JTECH-D-15-0097.1.
Hamada, A., and Y. N. Takayabu,
: Convective cloud-top vertical velocity estimated from geostationary satellite rapid-scan measurements. Geophys. Res. Lett., 43, 5435–5441, doi:10.1002/2016GL068962.
Han, K.-H., J. Jeong, and S. Hong,
: IMERG-Like Precipitation Retrieval From Geo-Kompsat-2A Observations Using Conditional Generative Adversarial Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 14467-14479, doi:10.1109/jstars.2025.3575763.
Han, M. and S. A. Braun,
: Understanding the Global Three-dimensional Distribution of Precipitation Mean Particle Size with the Global Precipitation Measurement Mission. J. Climate, 34(24), 1–62 , doi:10.1175/JCLI-D-21-0134.1.
Han, M., S. A. Braun, T. Lang, M. L. Walker Mclinden, G. M. Heymsfield, L. Li, K. L. Thornhill,
: Supercooled Liquid Water at the Top of a Snow-Producing Nimbostratus Cloud and Its Association With Gravity Wave Breaking and Turbulence: An IMPACTS Case Study. J. Geophys. Res. Atmos., 130(6), e2024JD041795, doi:10.1029/2024JD041795.
Han, P., S. Li, K. Zhao, T. Wang, M. Xie, B. Zhuang, M. Li, and C. Liu,
: Effects of anthropogenic aerosols and sea salt aerosols during a summer precipitation event in the Yangtze River Delta. Atmos. Res., 284, 106584, doi:10.1016/j.atmosres.2022.106584.
Han, Y., and S. J. Semnani,
: Integration of Physics-Based and Data-Driven Approaches for Landslide Susceptibility Assessment. International Journal for Numerical and Analytical Methods in Geomechanics, 49(13), 3060-3097, doi:10.1002/nag.4016.
Han, Y., and S. J. Semnani,
: Important considerations in machine learning-based landslide susceptibility assessment under future climate conditions. Acta Geotechnica, 20, 475–500, doi:10.1007/s11440-024-02363-3.
Hänchen, L., C. Klein, F. Maussion, W. Gurgiser, P. Calanca, and G. Wohlfahrt,
: Widespread greening suggests increased dry-season plant water availability in the Rio Santa valley, Peruvian Andes. Earth System Dynamics, 13(1), 595–611, doi:10.5194/esd-13-595-2022.
Hannah, W. M., K. G. Pressel, M. Ovchinnikov, and G. S. Elsaesser,
: Checkerboard patterns in E3SMv2 and E3SM-MMFv2. Geosci. Model Dev., 15(15), 6243–6257, doi:10.5194/gmd-15-6243-2022.
Hao, R., and H. Yan,
: Towards Interpreting Machine-Learning Models for Multi-Step Ahead Daily Streamflow Forecasting. Hydrological Processes, 39(5), e70163, doi:10.1002/hyp.70163.
Hao, R., H. Yan, Y.-M. Chiang,
: Forecasting the Propagation from Meteorological to Hydrological and Agricultural Drought in the Huaihe River Basin with Machine Learning Methods. Rem. Sens., 15(23), 5524, doi:10.3390/rs15235524.
Hao, S., L. Chen, X. Liu, K. Liu, and W. Peng,
: Reinforcing the Effect of Warm Ocean Anomalies in the South China Sea on the Extended Tropical-Depression-Induced Heavy Rainfall Event in Hainan Island. Atmosphere, 14(7), 1137, doi:10.3390/atmos14071137.
Hao, S., W. Peng, L. Chen, X. Liu, and K. Liu,
: Journal of Physics: Conference Series Purpose-Led Publishing logo. Paper • The following article is Open access Numerical Study on the Effect of Warm Ocean Anomalies in the South China Sea on the Heavy Rainfall Event on Hainan Island. Journal of Physics: Conference Series, 2718, 012034, doi:10.1088/1742-6596/2718/1/012034.
