GPM Refereed Publications
Grosvenor, D. P., and K. S. Carslaw,
: Change from aerosol-driven to cloud-feedback-driven trend in short-wave radiative flux over the North Atlantic. Atmos. Chem. Physics, 23(12), 6743–6773, doi:10.5194/acp-23-6743-2023.
Gu, C., A. Huang, Y. Zhang, B. Yang, S.n Cai, X. Xu, J. Luo, and Y. Wu,
: The Wet Bias of RegCM4 Over Tibet Plateau in Summer Reduced by Adopting the 3D Sub-Grid Terrain Solar Radiative Effect Parameterization Scheme. JGR Atmospheres, 127(21), e2022JD037434, doi:10.1029/2022JD037434.
Gu, J., C. Zhao, M. Xu, J. Feng, G. Li, Y. Zhao, X. Hao, J. Chen, and H. An,
: Global convection-permitting model improves subseasonal forecast of plum rain around Japan. Environmental Research Letters, 19(10), 104021, doi:10.1088/1748-9326/ad71e2.
Guan, Z., K. Ren, S. Bao, H. Yan, H. Wang, and Y. Zhao,
: Mixed Layer Depth Estimation From Multisource Remote Sensing Data Using Clustering-Machine Learning Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 11183 - 11197, doi:10.1109/JSTARS.2025.3561207.
Guendelman, I., T. M. Merlis, K.-Y. Cheng, L. M. Harris, C. S. Bretherton, M. Bolot, L. Zhou, A. Kaltenbaugh, S. K. Clark, and S. Fueglistaler,
: The Precipitation Response to Warming and CO2 Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models. Geophys. Res. Letts., 51(7), e2023GL107008, doi:10.1029/2023GL107008.
Guevara, J., M. Garcia, P. Avegliano, D. Lima, D. Queiroz, M. Macedo, L. Tizzei, D. Szwarcman, B. Zadrozny, C. Watson, and A. Jones,
: Direct Sampling for Spatially Variable Extreme Event Generation in Resampling-Based Stochastic Weather Generators. JAMES, 15(11), e2022MS003542, doi:10.1029/2022MS003542.
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,
: 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. 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., 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., 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., G. Kerrigan, K. Nelson, G. Migliorini, P. Smyth, R. Li, and E. Foufoula-Georgiou,
: A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations. IEEE Transactions on Geoscience and Remote Sensing, 63, 1-15, doi:10.1109/TGRS.2025.3548518.
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.
Guilloteau, C., X. Chen, L. R. Leung, and E. Foufoula-Georgiou,
: The fine-scale signature of precipitation intensification trends in the CONUS-404 hydroclimate reanalysis between 1993 and 2022. ESS Open Archive, , , doi:10.22541/essoar.175097859.93209681/v1.