GPM Refereed Publications
Pettersen, C., L. F. Bliven, M. S. Kulie, N. B. Wood, J. A. Shates, J. Anderson, M. W. Mateling, W. A. Petersen, A. von Lerber, and D. B. Wolff,
: The Precipitation Imaging Package: Phase Partitioning Capabilities. Rem. Sens., 13(11), 2183, doi:10.3390/rs13112183.
Petty, G. W.,
: The Pairwise Similarity Partitioning Algorithm: A Method for Unsupervised Partitioning of Geoscientific and Other Datasets Using Arbitrary Similarity Metrics. Artificial Intelligence for the Earth Systems, 1(4), , doi:10.1175/AIES-D-22-0005.1.
Petty, G. W., and H. K. Tran,
: Seventy-Year Trends in Ship-Reported Oceanic Precipitation Frequency. Geophys. Res. Lett., 50(14), e2023GL104270, doi:10.1029/2023GL104270.
Petty, G. W., and K. Li,
: Improved Passive Microwave Retrievals of Rain Rate over Land and Ocean. Part I: Algorithm Description. J. Atmos. Oceanic Technol., 30, 2493-2508, doi:10.1175/JTECH-D-12-00144.1.
Petty, G. W., and W. Huang,
: Microwave Backscatter and Extinction by Soft Ice Spheres and Complex Snow Aggregates. J. Atmos. Sci., 67, 769-787, doi:10.1175/2009JAS3146.1.
Petty, G., and R. Bennartz,
: Field-of-view characteristics and resolution matching for the Global Precipitation Measurement (GPM) Microwave Imager (GMI). Atmos. Meas. Tech., 10, 745-758, doi:10.5194/amt-10-745-2017.
Pfitzenmaier, L., A. Battaglia, A., and P. Kollias,
: The Impact of the Radar-Sampling Volume on Multiwavelength Spaceborne Radar Measurements Using Airborne Radar Observations. Rem. Sens., 11(19), 2263, doi:10.3390/rs11192263.
Pfreundschuh, S., C. Guilloteau, P. J. Brown, C. D. Kummerow, and P. Eriksson ,
: GPROF V7 and beyond: assessment of current and potential future versions of the GPROF passive microwave precipitation retrievals against ground radar measurements over the continental US and the Pacific Ocean. Atmos. Meas. Tech., 17(2), 515–538, doi:10.5194/amt-17-515-2024.
Pfreundschuh, S., P. J. Brown, C. D. Kummerow, P. Eriksson, and T. Norrestad,
: GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm. Atmos. Meas. Tech., 15(17), 5033–5060, doi:10.5194/amt-15-5033-2022.
Pieper, K. J., E. Beighley, C. N. Jones, K. Drewry, R. Jamshidi, Y. Li, L. Michael, W. Mize, J. Fowlkes, A. Blethen, Q. R. Wang, E. Bailey, M. Kane, C. Goforth, E. Kane, R. McCaully, C. King, A. Webb, B. Goggins, B. Duvvuri, E. Bartuska, T. Tang, and W. Li,
: Responding after Hurricane Helene: Rapidly Estimating Impacts to Environmental Health Services in North Carolina. Environ. Sci. Technol. Letts., 12(7), 820-826, doi:10.1021/acs.estlett.5c00503.
Piyush, D. N., A. K. Varma, P. K. Pal, and G. Liu,
: An Analysis of Rainfall Measurements over Different Spatio-Temporal Scales and Potential Implications for Uncertainty in Satellite Data Validation. Journal of Meteorological Society of Japan, 90(4), 439-448, doi:10.2151/jmsj.2012-401.
Porcacchia, L., P. E. Kirstetter, J. J. Gourley, V. Maggioni, B. L. Cheong, M. N. Anagnostou,
: Toward a Polarimetric Radar Classification Scheme for Warm-Rain Precipitation: Application to Complex Terrain. J. Hydrometeor., 18, 3199-3215, doi:10.1175/JHM-D-17-0016.1.
Porcacchia, L., P. E. Kirstetter, V. Maggioni, and S. Tanelli,
: Investigating the GPM Dual-frequency Precipitation Radar signatures of low-level precipitation enhancement. Q. J. R. Meteor. Soc., 145, 3161-3174, doi:10.1002/qj.3611.
Portier, A., D. Kirschbaum, M. Gebremichael, E. Kemp, S. Kumar, I. Llabres, and J. Wegiel,
: NASA’s Global Precipitation Measurement Mission: Leveraging Stakeholder Engagement & Applications Activities to Inform Decision-making. Remote Sensing Applications: Society and Environment, 29, 100853, doi:10.1016/j.rsase.2022.100853.
Potter, G., G. J. Huffman, D. T. Bolvin, M. G. Bosilovich, J. Hertz, and L. E. Carriere,
: Histogram Anomaly Time Series: A Compact Graphical Representation of Spatial Time Series Data Sets . Bull. Amer. Meteor. Soc., 101(12), E2133–E2137, doi:10.1175/BAMS-D-20-0130.1.
Poveda, G.,
: Mechanisms Controlling the 4D Distribution of Rainfall and Latent Heating Over the Rainiest Region on Earth. JGR Atmospheres, 128(23), e2023JD039328, doi:10.1029/2023JD039328.
Pradhan, A., A. Nair, J. Indu, and P. E. Kirstetter,
: Impact of sampling of GPM orbital data on streamflow simulations. J. Hydrology, 593, 125798, doi:10.1016/j.jhydrol.2020.125798.
Pradhan, A., and J. Indu,
: Assessment of SM2RAIN derived and IMERG based precipitation products for hydrological simulation. J. Hydrology, 603(Part D), 127191, doi:10.1016/j.jhydrol.2021.127191.
Pradhan, A., and J. Indu,
: Behavior of IMERG precipitation extremes with temperature at different spatial resolution. Environ. Res. Lett., 18(9), 094033, doi:10.1088/1748-9326/acee9a.
Pradhan, A., J. Indu, A. Nair, and P. E. Kirstetter,
: Impact of sampling of GPM orbital data on streamflow simulations. J. of Hydrology, 593, 125798, doi:10.1016/j.jhydrol.2020.125798.