GPM Refereed Publications
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.
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.
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.
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.