GPM Refereed Publications
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.
Hardy, S., J. Methven, J. Schwendike, B. Harvey, and M. Cullen,
: Examining the dynamics of a Borneo vortex using a balance approximation tool. Weather and Climate Dynamics, 4(4), 1019–1043, doi:10.5194/wcd-4-1019-2023.
Hari Prasad, K. B. R. R., V. S. Prasad, M. Sateesh, and K. A. Jyothi,
: The impact of Indian radar and lightning data assimilation on the short-range forecasts of heavy rainfall events. Quarterly Journal of the Royal Meteorological Society, 150(759), 796-819, doi:10.1002/qj.4623.
Hari Sanker, G., N. Kiran, N. Krishnan, and D. M. Nandagopal,
: Impact of Land Use and Land Cover changes on landslide susceptibility over Idukki, India. 2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), , 1-4, doi:10.1109/InGARSS59135.2023.10490429.
Harr, B., B. Pu, and Q. Jin,
: The emission, transport, and impacts of the extreme Saharan dust storm of 2015. Atmospheric Chemistry and Physics, 24(15), 8625–8651, doi:10.5194/acp-24-8625-2024.
Harris, B. L., C. M. Taylor, G. P. Weedon, J. Talib, W. Dorigo, and R. van der Schalie,
: Satellite-Observed Vegetation Responses to Intraseasonal Precipitation Variability. Geophys. Res. Letts., 49(15), e2022GL099635, doi:10.1029/2022GL099635.
Harris, B. L., C. M. Taylor, W. Dorigo, R.-M. Zotta, D. Ghent, and I. Noguera,
: Global observations of land-atmosphere interactions during flash drought. Hydrology and Earth System Sciences, 29(23), 6917–6933, doi:10.5194/hess-29-6917-2025.
Harris, B. L., T. Quaife, C. M. Taylor, and P. P. Harris,
: Contrasting responses of vegetation productivity to intraseasonal rainfall in Earth system models. Earth System Dynamics, 15(4), 1019–1035, doi:10.5194/esd-15-1019-2024.
Harris, J., T. Munasinghe, H. Tubbs, and A. Anyamba,
: Predicting Crimean-Congo Hemorrhagic Fever Outbreaks via Multivariate Time-Series Classification of Climate Data. ICMHI '22: Proceedings of the 6th International Conference on Medical and Health Informatics, , 215-218, doi:10.1145/3545729.3545772.
Harris, L., L. Zhou, A. Kaltenbaugh, S. Clark, K.-Y. Cheng, and C. Bretherton,
: A Global Survey of Rotating Convective Updrafts in the GFDL X-SHiELD 2021 Global Storm Resolving Model. JGR Atmospheres, 128(10), e2022JD037823, doi:10.1029/2022JD037823.
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:10.1088/1748-9326/ab2cae.
Harsanto, P., H. E. Prihatmanti, and B. K. Wisnulingga,
: Aplikasi Metode Nash Pada Perhitungan Limpasan Langsung Menggunakan Data Hujan GPM 3IMERGHH Studi Kasus SubDAS Winongo Hulu. Jurnal Teknik Sumber Daya Air, 1(2), 121-132, doi:10.56860/jtsda.v1i2.27.
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.