GPM Refereed Publications
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.
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., 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.
Pragnya, M., S. K. Singh, D. Mitra, and Y. Kant,
: Impact assessment of 3D-var data assimilation on simulation of tropical cyclones using WRF. Atmósfera, 39, , doi:10.20937/ATM.53409.
Prakash, S., A. K. Mitra, A. AghaKouchak, Z. Liu, H. Norouzi, and D. S. Pai,
: A preliminary assessment of GPM-based multi-satellite precipitation estimates over a monsoon dominated region. J. Hydrology, 556, 865-876, doi:10.1016/j.jhydrol.2016.01.029.
Prakash, S., A. K. Mitra, D. S. Pai, and A. AghaKouchak,
: From TRMM to GPM: How well can heavy rainfall be detected from space?. Adv. Water Res., 88, 40914, doi:10.1016/j.advwatres.2015.11.008.
Prakash, V., O. P. Vats, A. Chakravorty, U. Ratnayake, and R. K. Bhattacharjya ,
: Sensitivity analysis of planetary boundary layer and microphysics parameterization schemes in WRF model for Guwahati urban domain. Journal of Hydrology: Regional Studies, 60, 102506, doi:10.1016/j.ejrh.2025.102506.
Prashant, K., A. K. Varma, T. Kubota, M. Yamaji, T. Tashima, T. Mega, and T. Ushio,
: Long-Term High-Resolution Gauge Adjusted Satellite Rainfall Product Over India. Earth and Space Science, 9(12), e2022EA002595, doi:10.1029/2022EA002595.
Prat, O., A. P. Barros, and C. Williams,
: An Intercomparison of Model Simulations and VPR Estimates of the Vertical Structure of Warm Stratiform Rainfall during TWP-ICE. J. Appl. Meteor. Climatol., 47, 2797–2815, doi:10.1175/2008JAMC1801.1.
Prat, O., A. P. Barros, and F. Testik,
: On the Influence of Raindrop Collision Outcomes on Equilibrium Drop Size Distributions. J. Atmos. Sci., 69, 1534–1546, doi:10.1175/JAS-D-11-0192.1.
Prat, O., and A. P. Barros,
: Exploring the Transient Behavior of Z–R Relationships: Implications for Radar Rainfall Estimation. J. Appl. Meteor. Climatol., 48, 2127–2143, doi:10.1175/2009JAMC2165.1.
Prat, O., and A. P. Barros,
: Assessing satellite-based precipitation estimates in the Southern Appalachian Mountains using raingauges and TRMM PR. Adv. Geosci., 25, 143-153, doi:.
Prat, O., and A. P. Barros,
: Exploring the use of a column model for the characterization of microphysical processes in warm rain: preliminary results for a homogeneous rainshaft model. Adv. Geosci., 10, 145–152, doi:10.5194/adgeo-10-145-2007.
Prat, O., and A. P. Barros,
: Ground Observations to Characterize the Spatial Gradients and Vertical Structure of Orographic Precipitation – Experiments in the Inner Region of the Great Smoky Mountains. J. Hydrology, 391, 141-156, doi:10.1016/j.jhydrol.2010.07.013.
Prat, O., and A. P. Barros,
: A Robust Numerical Solution of the Stochastic Collection–Breakup Equation for Warm Rain. J. Appl. Meteor. Climatol., 46, 1480–1497, doi:10.1175/JAM2544.1.