GPM Refereed Publications
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.
Petković, V. and C.D. Kummerow,
: Understanding the Sources of Satellite Passive Microwave Rainfall Retrieval Systematic Errors Over Land. J. Appl. Meteor. Climatol., 56, 597-614, doi:10.1175/JAMC-D-16-0174.1.