GPM Refereed Publications
Panegrossi G., D. Casella, S. Dietrich, A.C. Marra, P. Sanò, A. Mugnai, L. Baldini, N. Roberto, E. Adirosi, R. Cremonini, R. Bechini, G. Vulpiani, M. Petracca, and F. Porcù,
: Use of the GPM constellation for monitoring heavy precipitation events over the Mediterranean region. IEEE J. of Sel. Topics in Appl. Earth Obs. and Rem. Sens., 9, 2733-2753, doi:10.1109/JSTARS.2016.2520660.
Panegrossi, G., J.-F. Rysman, D. Casella, A. C. Marra, P. ano, and M. S. Kulie,
: CloudSat-Based Assessment of GPM Microwave Imager Snowfall Observation Capabilities. Rem. Sens., 9, 1263, doi:10.3390/rs9121263.
Panici, D., G. L. Bennett, R. J. Boothroyd, C. Abancó, R. D. Williams, F. Tan, and M. Matera,
: Observations and computational multi-phase modelling in tropical river settings show complex channel changes downstream from rainfall-triggered landslides. Earth Surface Processes and Landforms, 49(8), 2498-2516, doi:2498-2516.
Papa, K.-M., and A. G. Koutroulis,
: Evaluation of precipitation datasets over Greece. Insights from comparing multiple gridded products with observations. Atmos. Res., 315, 107888, doi:10.1016/j.atmosres.2024.107888.
Papacharalampous, G., H. Tyralis, N. Doulamis, and A. Doulamis,
: Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products. Machine Learning with Applications, 19, 100615, doi:10.1016/j.mlwa.2024.100615.
Papalexiou, S. M., A. AghaKouchak, and E. Foufoula-Georgiou,
: A Diagnostic Framework for Understanding Climatology of Tails of Hourly Precipitation Extremes in the United States. Water Resources Research, 54(9), 6725-6738, doi:10.1029/2018WR022732.
Papalexiou, S. M., A. AghaKouchak, K. E. Trenberth, and E. Foufoula-Georgiou,
: Global, Regional, and Megacity Trends in the Highest Temperature of the Year: Diagnostics and Evidence for Accelerating Trends. Earth's Future, 6(1), 71-79, doi:10.1002/2017EF000709.
Papalexiou, S. M., C. R. Rajulapati, K. M. Andreadis, E. Foufoula-Georgiou, M. P. Clark, and K. E. Trenberth,
: Probabilistic Evaluation of Drought in CMIP6 Simulations. Earth's Future, 9(10), e2021EF002150, doi:10.1029/2021EF002150.
Papalexiou, S. M., Y. Markonis, F. Lombardo, A. AghaKouchak, and E. Foufoula-Georgiou,
: Precise Temporal Disaggregation Preserving Marginals and Correlations (DiPMaC) for Stationary and Nonstationary Processes. Water Resources Research, 54(10), 7435-7458, doi:10.1029/2018WR022726.
Park, H., J. Hwang, D.-H. Cha, M.-I. Lee, C.-K. Song, J. Kim, S.-H. Park, and D.-K. Lee,
: Does a Scale-Aware Convective Parameterization Scheme Improve the Simulation of Heavy Rainfall Events?. JGR Atmospheres, 129(7), e2023JD039407, doi:10.1029/2023JD039407.
Patel, A., B. G. Mark, U. K. Haritashya, and A. Bawa ,
: Twenty first century snow cover prediction using deep learning and climate model data in the Teesta basin, eastern Himalaya. Climate Dynamics, 63(3), 156, doi:10.1007/s00382-025-07643-6 .
Pawloski, J. H., J. Aviles, R. Myers, J. Parris, B. Corley, G. Hehn, and J. Pascucci,
: Global Precipitation Measurement (GPM) and International Space Station (ISS) Coordination for CubeSat Deployments to Minimize Collision Risk. . NASA Technical Memo, , , doi:https://ntrs.nasa.gov/search.jsp?R=20160011528.
Peatman, S. C., C. E. Birch, J. Schwendike, J. H. Marsham, E. Howard, S. J. Woolnough, J. M. Mustafa, and A. J. Matthews,
: Physical Controls on the Variability of Offshore Propagation of Convection From Sumatra. JGR Atmospheres, 130(7), e2024JD042458, doi:10.1029/2024JD042458.
Peeling, J. A., J. Judge, V. Misra, C. B. Jayasankar, and W. R. Lusher,
: Gap-free 16-year (2005–2020) sub-diurnal surface meteorological observations across Florida. Scientific Data, 10, 907, doi:10.1038/s41597-023-02826-4.
Pelissier, C., W. Olson, K.-S. Kuo, A. Loftus, R. Schrom, and I. Adams,
: A Physically Based, Meshless Lagrangian Approach to Simulate Melting Precipitation. J. Atmos. Sci., 80(2), 353–373, doi:10.1175/JAS-D-22-0150.1.
Pendergrass, A.G.,
: Changing Degree of Convective Organization as a Mechanism for Dynamic Changes in Extreme Precipitation. Current Climate Change Reports, 6(2), , doi:10.1007/s40641-020-00157-9.
Peng, H., X. Hu, W. Ai, J. Qiao, and X. Zhao,
: Effects of fine and coarse aerosols on the summer precipitation structure and microphysics over the Yangtze River Delta region. Atmos. Res., 326, 108277, doi:10.1016/j.atmosres.2025.108277.
Peng, K., D. B. Wright, Y. Derin, S. H. Hartke, Z. Li, and J. Tan,
: STREAM-Sat: A Novel Near-Realtime Quasi-Global Satellite-Only Ensemble Precipitation Dataset. Water Resources Research, 61(3), e2023WR036756, doi:10.1029/2023WR036756.
Peterson, M., W. Deierling, C. Liu, D. Mach, and C. Kalb,
: Retrieving Global Wilson Currents from Electrified Clouds Using Satellite Passive Microwave Observations. J. Atmos. Oceanic Technol., 35, 1487–1503, doi:10.1175/JTECH-D-18-0038.1.
Peterson, M., W. Deierling, C. Liu, D. Mach, C. Kalb,
: A TRMM/GPM retrieval of the total mean generator current for the global electric circuit. J. Geophys. Res., 122, 10,025–10,049, doi:10.1002/2016JD026336.