GPM Refereed Publications
Pinheiro, D. T., D. M. S. Santos, A. R. R. Martins, W. M. da Silva, C. V. de Araújo, D. C. de Abreu, A. K. Hoshide, L. Molossi, and R. A. de Oliveira,
: Closing the Gap: Sustainable Intensification Implications of Increased Corn Yields and Quality for Second-Crop (safrinha) in Mato Grosso, Brazil. Sustainability, 13(23), 13325, doi:10.3390/su132313325.
Pinilla, A. M., and M. U. Quirno,
: Desempeño Hidrológico de la Precipitación GPMIMERG en Cuencas de Llanura. 2024 IEEE Biennial Congress of Argentina (ARGENCON), , 1-6, doi:10.1109/ARGENCON62399.2024.10735951.
Pintori, F., E. Serpelloni, and A. Gualandi,
: Common-mode signals and vertical velocities in the greater Alpine area from GNSS data. Solid Earth, 13(10), 1541–1567, doi:10.5194/se-13-1541-2022.
Piper, A., A. Belen, B. Villanueva, and M. Gollock,
: Residence, activity patterns and behaviour of the giant mottled eel Anguilla marmorata in two freshwater protected areas in the Philippines. Aquatic Conservation: Marine and Freshwater Ecosystems, 32(10), 1606-1617, doi:10.1002/aqc.3870.
Pirmoradian, R., H. Hashemi, and J. Fayne,
: Performance evaluation of IMERG and TMPA daily precipitation products over CONUS (2000–2019). Atmos. Res., 279, 106389, doi:10.1016/j.atmosres.2022.106389.
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.
Piyush, S., P. Namdev, and P. K. Singh,
: 7 February Chamoli (Uttarakhand, India) Rock-Ice Avalanche Disaster: Model-Simulated Prevailing Meteorological Conditions. Atmosphere, 13(2), 267, doi:10.3390/atmos13020267.
Popovych, V. F., and I. A. Dunaieva,
: Assessment of the GPM IMERG and CHIRPS precipitation estimations for the steppe part of the Crimea. Meteorology Hydrology and Water Management, 9, , doi:10.26491/mhwm/133088.
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.
Portier, A., S. Ringerud, and G. J. Huffman,
: GPM Celebrates Ten Years of Observing Precipitation for Science and Society. The Earth Observer, , , doi:. https://science.nasa.gov/science-research/earth-science/gpm-celebrates-ten-years-of-observing-precipitation-for-science-and-society/
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.
Power, K., J. Axelsson, N. Wangdi, and Q. Zhang,
: first_page settings Order Article Reprints Open AccessArticle Regional and Local Impacts of the ENSO and IOD Events of 2015 and 2016 on the Indian Summer Monsoon—A Bhutan Case Study . Atmosphere, 12(8), 954, doi:10.3390/atmos12080954.
Pradhan, A., A. S. 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,
: 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., 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, R. K., and Y. Markonis,
: Performance Evaluation of GPM IMERG Precipitation Products over the Tropical Oceans Using Buoys. J. Hydrometeorology, 24(10), 1755–1770, doi:10.1175/JHM-D-22-0216.1.
Pradhan, R. K., Y. Markonis, M. R. Vargas Godoy, A. Villalba-Pradas, K. M. Andreadis, E. I. Nikolopoulos, S. M. Papalexiou, A. Rahim, F. J. Tapiador, M. Hanel,
: Review of GPM IMERG performance: A global perspective. Remote Sens. Environ., 268, 112754, doi:10.1016/j.rse.2021.112754.
