GPM Refereed Publications
Grecu, M., W. S. Olson, S. J. Munchak, S. Ringerud, L. Liao, Z. Haddad, B. L. Kelley, S. F. McLaughlin,
: The GPM Combined Algorithm. J. Atmos. Oceanic Technol., 33, 2225-2245, doi:10.1175/JTECH-D-16-0019.1.
Guilinger, J.J., E. Foufoula-Georgiou, A.B. Gray, J.T. Randerson, P. Smyth, N.C. Barth and M.L. Goulden,
: Predicting Postfire Sediment Yields of Small Steep Catchments Using Airborne Lidar Differencing. Geopys. Res. Lett., 50(16), e2023GL104626, doi:10.1029/2023GL104626.
Guilloteau, C. and E. Foufoula-Georgiou,
: Life Cycle of Precipitating Cloud Systems from Synergistic Satellite Observations: Evolution of Macrophysical Properties and Precipitation Statistics from Geostationary Cloud tracking and GPM Active and Passive Microwave Measurements. J. Hydrometeorology, , , doi:10.1175/JHM-D-23-0185.1.
Guilloteau, C. and E. Foufoula-Georgiou,
: Beyond the Pixel: Using Patterns and Multiscale Spatial Information to Improve the Retrieval of Precipitation from Spaceborne Passive Microwave Imagers. J. Atmos. Oceanic Technol., 37(9), 1571–1591, doi:10.1175/JTECH-D-19-0067.1.
Guilloteau, C. and E. Foufoula-Georgiou,
: Multiscale Evaluation of Satellite Precipitation Products: Effective Resolution of IMERG. In: Levizzani V., Kidd C., Kirschbaum D., Kummerow C., Nakamura K., Turk F. (eds) Satellite Precipitation Measurement. Advances in Global Change Research, 69, , doi:10.1007/978-3-030-35798-6_5.
Guilloteau, C., A. Mamalakis, L. Vulis, P. V. V. Le, T. T. Georgiou, and E. Foufoula-Georgiou,
: Rotated Spectral Principal Component Analysis (rsPCA) for Identifying Dynamical Modes of Variability in Climate Systems. J. Climate, 34(2), 715–736, doi:10.1175/JCLI-D-20-0266.1.
Guilloteau, C., and E. Foufoula-Georgiou,
: Preserving Extremes in Satellite Quantitative Precipitation Estimates: A Matter of Scale. Proceedings of the 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), , 662-665, doi:10.1109/IGARSS52108.2023.10281499.
Guilloteau, C., and E. Foufoula-Georgiou,
: Beyond the pixel: using patterns and multiscale spatial information to improve the retrieval of precipitation from space-borne passive microwave imagers. J. Atmos. Oceanic Technol., 37(9), 1571–1591 , doi:10.1175/JTECH-D-19-0067.1.
Guilloteau, C., E. Foufoula-Georgiou, P. E. Kirstetter, J. Tan, and G. J. Huffman,
: How Well Do Multisatellite Products Capture the Space–Time Dynamics of Precipitation? Part I: Five Products Assessed via a Wavenumber–Frequency Decomposition. J. of Hydrometeorology, 22(11), 2805–2823, doi:10.1175/JHM-D-21-0075.1.
Guilloteau, C., E. Foufoula-Georgiou, P. Kirstetter, J. Tan, and G. J. Huffman,
: How Well Do Multisatellite Products Capture the Space–Time Dynamics of Precipitation? Part II: Building an Error Model through Spectral System Identification. J. Hydrometeorology, 23, 1383–1399, doi:10.1175/JHM-D-22-0041.1.
Guilloteau, C., Foufoula-Georgiou, E., & Kummerow, C. D.,
: Global multiscale evaluation of satellite passive microwave retrieval of precipitation during the TRMM and GPM eras: effective resolution and regional diagnostics for future algorithm development. J. of Hydrometeor., 18, 11, doi:10.1175/JHM-D-17-0087.1.
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.
Guilloteau, C., X. Chen, L. R. Leung, and E. Foufoula-Georgiou,
: Amplified Mesoscale and Submesoscale Variability and Increased Concentration of Precipitation under Global Warming over Western North America. J. Climate, 38(11), 2525–2542, doi:10.1175/JCLI-D-24-0343.1.
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.
Hagos, S., Z. Feng, A. C. Varble, S.-L. Tai, and J. Chen,
: The Impacts of Rotational Mixing on the Precipitation Simulated by a Convection Permitting Model. J. Advances Modeling Earth Systems, 17(5), e2024MS004524, doi:10.1029/2024MS004524.
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.