GPM Refereed Publications
He, X., H. Kim, P. E. Kirstetter, K. Yoshimura, Z. Wei, E. C. Chang, Y. Hong, and T. Oki,
: Evaluating the Diurnal Cycle of Precipitation Representation in West African Monsoon Region with Different Convection Schemes: Capacity Building for Sustainability and Resilience. Hydrologic Remote Sensing, , 169-191, doi:10.1201/9781315370392-11.
He, W.,
: Comparisons of radiative transfer models for GMI assimilation in WRF. Proc. SPIE 10782, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions VII, 107820N, , doi:10.1117/12.2324674.
He, Q., H. Lu, and K. Yang,
: Soil Moisture Memory of Land Surface Models Utilized in Major Reanalyses Differ Significantly From SMAP Observation. Earth's Future, 11(4), e2022EF003215, doi:10.1029/2022EF003215.
He, K., Q. Yang, X. Shen, E. Dimitriou, A. Mentzafou, C. Papadaki, M. Stoumboudi, and E. N. Anagnostou,
: Brief communication: Storm Daniel flood impact in Greece in 2023: mapping crop and livestock exposure from synthetic-aperture radar (SAR). Natural Hazards and Earth System Sciences, 24(7), 2375–2382, doi:10.5194/nhess-24-2375-2024.
He, K., Q. Yang, X. Shen, and E. N. Anagnostou,
: Brief communication: Western Europe flood in 2021 – mapping agriculture flood exposure from synthetic aperture radar (SAR). Natural Hazards and Earth System Sciences, 22(9), 2921–2927, doi:10.5194/nhess-22-2921-2022.
He, K., L. Lombardo, L. Chang, N. Sadhasivam, X. Hu, Z. Fang, A. Dahal, I. Fadel, G. Luo, and H. Tanyas,
: Investigating earthquake legacy effect on hillslope deformation using InSAR-derived time series. Earth Surface Processes and Landforms, 49(3), 980-990, doi:10.1002/esp.5746.
He, K., H. Tanyas, L. Chang, X. Hu, G. Luo, and L. Lombardo,
: Modelling InSAR-derived hillslope velocities with multivariate statistics: A first attempt to generate interpretable predictions. Remote Sensing of Environment, 289, 113518, doi:10.1016/j.rse.2023.113518.
He, K., and H. Lu,
: Interaction Between Evapotranspiration and Meteorological and Hydrological Factors in Drought Events: A Case Study of The Yangtze River Basin. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, , 2835-2838, doi:10.1109/IGARSS52108.2023.10282450.
He, J., L. Zhang, R. Fan, S. Zhou, H. Luo, and D. Peng,
: Evaluating effectiveness of mitigation measures for large debris flows in Wenchuan, China. Landslides, 19, 913–928, doi:10.1007/s10346-021-01809-z.
He, H., J. Wang, J. Ding, and L. Wang,
: Spatial Downscaling of Precipitation Data in Arid Regions Based on the XGBoost-MGWR Model: A Case Study of the Turpan–Hami Region. Land, 13(4), 448, doi:10.3390/land13040448.
Hayden, L.J.M., J. Tan, D. T. Bolvin, and G. J. Huffman,
: Variations in the Diurnal Cycle of Precipitation and Its Changes with Distance from Shore over Two Contrasting Regions as Observed by IMERG, ERA5, and Spaceborne Ku Radar. J. Hydrometeorology, 24(4), 675–689, doi:10.1175/JHM-D-22-0154.1.
Hayden, L. and C. Liu,
: A Multiyear Analysis of Global Precipitation Combining CloudSat and GPM Precipitation Retrievals. J. Hydrometeor., 19(12), 1935–1952, doi:10.1175/JHM-D-18-0053.1.
Havenith, H.-B., K. Guerrier, R. Schlögel, A. Braun, S. Ulysse, A.-S. Mreyen, K.-H. Victor, N. Saint-Fleur, L. Cauchie, D. Boisson, and C. Prépetit,
: Earthquake-induced landslides in Haiti: analysis of seismotectonic and possible climatic influences. Natural Hazards and Earth System Sciences, 22(10), 3361–3384, doi:10.5194/nhess-22-3361-2022.
Hassenruck-Gudipati, H. J., C. Andermann, S. Dee, C. F. Brunello, K. P.i Baidya, D. Sachse, H. Meyer, and N. Hovius,
: Moisture Sources and Pathways Determine Stable Isotope Signature of Himalayan Waters in Nepal. AGU Advances, 4(1), e2022AV000735, doi:10.1029/2022AV000735.
Hassanian, R., G. Cavallaro, and M. Riedel,
: Integrating remote sensing and deep learning forecasting model: A fluid-environment interface study. 2025 9th International Symposium on Innovative Approaches in Smart Technologies (ISAS), , 1-5, doi:10.1109/ISAS66241.2025.11101766.
Hashemi, H., J. Fayne, and V. Lakshmi et al.,
: Very high resolution, altitude-corrected, TMPA-based monthly satellite precipitation product over the CONUS. Sci. Data, 7, 74, doi:10.1038/s41597-020-0411-0.
Hasan, E., A. Tarhule, J. T. Zume, and P. E. Kirstetter,
: +50 Years of Terrestrial Water Storage Variability in Africa’s Transboundary Waters. Scientific Reports, 9, 12327, doi:10.1038/s41598-019-48813-x.
Hartman, C. M., X. Chen, and M. Chan,
: Improving Tropical Cyclogenesis Forecasts of Hurricane Irma (2017) through the Assimilation of All-Sky Infrared Brightness Temperatures. Mon. Wea. Rev., 151, 837-853, doi:10.1175/MWR-D-22-0196.1.
Hartke, S. H., D. B. Wright, Z. Li, V. Maggioni, D. B. Kirschbaum, and S. Khan,
: Ensemble Representation of Satellite Precipitation Uncertainty Using a Nonstationary, Anisotropic Autocorrelation Model. Water Resources Research, 58(8), e2021WR031650, doi:10.1029/2021WR031650.
Hartke, S. H., D. B. Wright, F. Quintero, and A. S. Falck,
: Incorporating IMERG satellite precipitation uncertainty into seasonal and peak streamflow predictions using the Hillslope Link hydrological model. J. Hydrology, 18, 100148, doi:10.1016/j.hydroa.2023.100148.