GPM Refereed Publications
Shige, S., F. Kato, and S. Aoki,
: Cloud and Precipitation Variability Associated With the Madden-Julian Oscillation Over the Maritime Continent. Geophys. Res. Letts., 50(20), e2023GL105189, doi:10.1029/2023GL105189.
Shige, S., Y. Nakano, and M. K. Yamamoto,
: Role of Orography, Diurnal Cycle, and Intraseasonal Oscillation in Summer Monsoon Rainfall over the Western Ghats and Myanmar Coast. J. Climate, 30, 9365–9381, doi:10.1175/JCLI-D-16-0858.1.
Shimada, T., C. M. Duarte, A. M. Al-Suwailem, L. K. Tanabe, and M. G. Meekan,
: Satellite Tracking Reveals Nesting Patterns, Site Fidelity, and Potential Impacts of Warming on Major Green Turtle Rookeries in the Red Sea. Frontiers in Marine Science, 8, , doi:10.3389/fmars.2021.633814.
Shimada, U., K. Aonashi, and Y. Miyamoto,
: Tropical Cyclone Intensity Change and Axisymmetricity Deduced from GSMaP. Mon. Wea. Rev., 145, 1003–1017, doi:10.1175/MWR-D-16-0244.1.
Shin, J.-Y., J.-E. Kim, J.-H. Lee, and T.-W. Kim,
: Meteorological drought outlook with satellite precipitation data using Bayesian networks and decision-making model. J. Korea Water Resour. Assoc., 52(4), 279-289, doi:10.3741/JKWRA.2019.52.4.279.
Shirmohammadi-Aliakbarkhani, Z., and A. Akbari,
: Ground validation of diurnal TRMM 3B42 V7 and GPM precipitation products over the northeast of Iran. Theoretical and Applied Climatology, 142(3-4), 1413–1423, doi:10.1007/s00704-020-03392-0.
Shirmohammadi–Aliakbarkhani, A., A. Akbari, M. R. Jaghargh, and J. P. Cox ,
: Assessing the Standardized Precipitation Index Utilizing Satellite-Based and Reanalyzed Precipitation Products in Semi-Arid Region, Iran. Journal of the Indian Society of Remote Sensing, 53(10), 3393–3407, doi:10.1007/s12524-025-02152-9.
Short, D. A., K. Nakagawa, and T. Iguchi,
: Empirical Test of Theoretically Based Correction for Path Integrated Attenuation in Simulated Spaceborne Precipitation Radar Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(3), 930-935, doi:10.1109/JSTARS.2012.2194695.
Short, D. A., R. Meneghini, A. E. Emory, and M. R. Schwaller,
: Reduction of Nonuniform Beamfilling Effects by Multiple Constraints: A Simulation Study. J. Atmos. Oceanic Technol., 32, 2114-2124, doi:10.1175/JTECH-D-15-0021.1.
Shrestha, D., D. B. Basnyat, J. Gyawali, M. J. Creed, H. D. Sinclair, B. Golding, M. Muthusamy, S. Shrestha, C. S. Watson, D. L. Subedi, and R. Haiju,
: Rainfall extremes under future climate change with implications for urban flood risk in Kathmandu, Nepal. International Journal of Disaster Risk Reduction, 97, 103997, doi:10.1016/j.ijdrr.2023.103997.
Shukla, S., G. Husak, W. Turner, F. Davenport, C. Funk, L. Harrison, and N. Krell,
: A slow rainy season onset is a reliable harbinger of drought in most food insecure regions in Sub-Saharan Africa. PLOS ONE, 16(1), e0242883, doi:10.1371/journal.pone.0242883.
Siam, Z. S., R. T. Hasan, S. S. Anik, F. Noor, M. S. G. Adnan, R. M. Rahman, and A. Dewan,
: National-scale flood risk assessment using GIS and remote sensing-based hybridized deep neural network and fuzzy analytic hierarchy process models: a case of Bangladesh. Geocarto International, 37(26), 12119-12148, doi:10.1080/10106049.2022.2063411.
Sieron, S. B., E. E. Clothiaux, F. Zhang, Y. Lu, and J. Otkin,
: Fast Radiative Transfer Modeling for All-Sky Microwave Satellite Radiances: Modifying CRTM with Microphysics-Consistent Cloud Optical Properties. J. Geophys. Res., 122, 7027-7046, doi:10.1002/2017JD026494.
Sieron, S. B., F. Zhang, E. E. Clothiaux, L. N. Zhang, and Y. Lu,
: Representing Precipitation Ice Species With Both Spherical and Nonspherical Particles for Radiative Transfer Modeling of Microphysics-Consistent Cloud Microwave Scattering Properties. J. of Advances in Modeling Earth Systems, 10(4), 1011–1028, doi:10.1002/2017MS001226.
Silva Lelis, L. C., R. W. Duarte Bosquilia, and S. N. Duarte,
: Assessment of Precipitation Data Generated by GPM and TRMM Satellites. Revista Brasileira de Meteorologia, 33(1), 153-163, doi:10.1590/0102-7786331004.
Silva, C. De Oliveira Ferreira, Santarosa, V. Lucas, M. V. Dos Santos, L. Rodrigo, and D. Gastmans,
: Predicting oxygen-18 and deuterium over South America: local meteoric water lines for countries and biogeographical regions. Hydrological Sciences Journal, 70(1), 37-50, doi:10.1080/02626667.2024.2425397.
Simeng, W., W. Dazhao, and H. Chang,
: A comparative study of using ANUSPLIN and GWR models for downscaled GPM precipitation. 202019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), , 1-5, doi:10.1109/Agro-Geoinformatics.2019.8820704.
Simoes-Sousa, I. T., C. M. L. Camargo, J. Tavora, A. Piffer-Braga, J. T.s Farrar, and T. M. Pavelsky,
: The May 2024 Flood Disaster in Southern Brazil: Causes, Impacts, and SWOT-Based Volume Estimation. Geophys. Res. Letts., 52(4), e2024GL112442, doi:10.1029/2024GL112442.
Sims, E. M., and G. Liu,
: A Parameterization of the Probability of Snow-Rain Transition. J. Hydrometeor., 16, 1466-1477, doi:10.1175/JHM-D-14-0211.1.
Singh, A. K., and V. Singh,
: Assessing the accuracy and reliability of satellite-derived precipitation products in the Kosi River basin (India). Environmental Monitoring and Assessment, 196, 671, doi:10.1007/s10661-024-12785-x.