GPM Refereed Publications
Guilloteau, C., Foufoula-Georgiou, E., Kummerow, C. D., and Petković, V.,
: Resolving surface rain from GMI high-frequency channels: limits imposed by the three-dimensional structure of precipitation. J. Atmos. Oceanic Tech., 35, 1835-1847, doi:10.1175/JTECH-D-18-0011.1.
Guilloteau, C., P. V.V. Le, and E. Foufoula-Georgiou,
: Constraining the multiscale structure of geophysical fields in machine-learning: the case of precipitation. Geoscience and Remote Sensing Letters, 20, 7503405, doi:10.1109/LGRS.2023.3284278.
Guo, H., S. Chen, A. Bao, A. Behrangi, Y. Hong, F. Ndayisaba, J. Hu, and P. M. Stepanian,
: Early assessment of Integrated Multi-satellite Retrievals for Global Precipitation Measurement over China. Atmos. Res., 176–177, 121-133, doi:10.1016/j.atmosres.2016.02.020.
Guo, H., S. Chen, A. Bao, A. Behrangie, Y. Hongd, F. Ndayisabaa, J. Huf, and P. M. Stepaniang,
: Early assessment of Integrated Multi-satellite Retrievals for Global Precipitation Measurement over China. Atmos. Res., 176-177, 121-133, doi:10.1016/j.atmosres.2016.02.020.
Gustafson, W. I., P.-L. Ma, and B. Singh,
: Precipitation characteristics of CAM5 physics at mesoscale resolution during MC3E and the impact of convective timescale choice. J. Adv. in Model. Earth Sys., 6, 1271-1287, doi:10.1002/2014MS000334.
Hakan Aksu and Sait Genar Yaldiz,
: Performance comparison of GPM IMERG V07 with its predecessor V06 and its application in extreme precipitation clustering over Türkiye. Atmospheric Research, 315, 107840, doi:10.1016/j.atmosres.2024.107840.
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, 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.
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.
Haonan, H., V. Chandrasekar, and D. B. Wolff,
: Overview of the D3R Observations During the ICE-POP Field Campaign With Emphasis on Snow Studies. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 1668-1677, doi:10.1109/JSTARS.2023.3239593.
Harrison, K. W., Y. Tian, C. Peters-Lidard, S. Ringerud, and S. V. Kumar,
: Calibration to Improve Forward Model Simulation of Microwave Emissivity at GPM Frequencies Over the U.S. Southern Great Plains. IEEE Transactions on Geoscience and Remote Sensing, 54, 1103-1117, doi:10.1109/TGRS.2015.2474120.
Harrison, L., C. Funk, and P. Peterson,
: Identifying changing precipitation extremes in Sub-Saharan Africa with gauge and satellite products. Environ. Res. Lett., 14(8), 085007, doi:.
Hartke, S. H., and D. B. Wright,
: Where Can IMERG Provide a Better Precipitation Estimate than Interpolated Gauge Data?. Remote Sensing, 14(21), 5563, doi:10.3390/rs14215563.
Hartke, S. H., D. B. Wright, D. B. Kirschbaum, T. A. Stanley, and Z. Li,
: Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System. J. Hydrometeor., 21(8), 1741–1759, doi:10.1175/JHM-D-19-0295.1.
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.
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.
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.
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.
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.