GPM Refereed Publications
Junqueira, R., M. R. Viola, J. da S. Amorim, C. Camargos, and C. R. de Mello,
: Hydrological modeling using remote sensing precipitation data in a Brazilian savanna basin. Journal of South American Earth Sciences, 115, 103773, doi:10.1016/j.jsames.2022.103773.
Junnaedhi, I. D. G. A., A. Inagaki, M. R. Ferdiansyah, and M. Kanda,
: Seasonal sea breeze variation analysis based on multi-year near-surface observations in Jakarta, Indonesia. International Journal of Climatology, 43(11), 5177-5195, doi:10.1002/joc.8139.
Junior, A. L. P., M. S. Biudes, N. G. Machado, G. L. Vourlitis, H. M. E. Geli, L. O. F. dos Santos, C. A. S. Querino, I. O. Ivo, and N. L. Neto,
: Assessment of Remote Sensing and Re-Analysis Estimates of Regional Precipitation over Mato Grosso, Brazil. Water, 13(3), 333, doi:10.3390/w13030333.
Jung, H., and P. Knippertz,
: Link Between the Time-Space Behavior of Rainfall and 3D Dynamical Structures of Equatorial Waves in Global Convection-Permitting Simulations. Geophys. Res. Letts., 50(2), e2022GL100973, doi:10.1029/2022GL100973.
Jumadi, J. D. N. Sari, U. Umrotun, M. Musiyam, C. Nurmantyo, S. F. Muhammad, and M. H. Ibrahim,
: REMOTE SENSING AND GIS-DRIVEN MODEL FOR FLOOD SUSCEPTIBILITY ASSESSMENT IN THE UPPER SOLO RIVER WATERSHED. Geographia Technica, 19, 33-45, doi:10.21163/GT_2024.192.03.
Joyce, R. J., and P. Xie,
: Kalman Filter–Based CMORPH. J. Hydrometeorology, 12(6), 1547–1563, doi:10.1175/JHM-D-11-022.1.
Jonville, T., M. Borne, C. Flamant, J. Cuesta, O. Bock, P. Bosser, C. Lavaysse, A. Fink, and P. Knippertz,
: Impact of convectively coupled tropical waves on the composition, vertical structure of the atmosphere, and tropical cyclogenesis in the region of Cabo Verde in September 2021 during the CADDIWA campaign. Atmospheric Chemistry and Physics, 25(17), 9765–9786, doi:10.5194/acp-25-9765-2025.
Jonnalagadda, J., and M. Hashemi,
: Quality-Aware Conditional Generative Adversarial Networks for Precipitation Nowcasting. Engineering Proceedings, 39(1), 11, doi:10.3390/engproc2023039011.
Jones, S. R., and C. D. Kummerow,
: Improved High-Latitude Light Precipitation Estimation Using a Combined Radiometer-Cloud Radar Retrieval. J. Geophys. Res.: Atmos., 130(4), e2024JD043111, doi:10.1029/2024JD043111.
Jones, C., Y. Mu, L. M. V. Carvalho, and Q. Ding,
: The South America Low-Level Jet: form, variability and large-scale forcings. npj Climate and Atmospheric Science, 6(1), 175, doi:10.1038/s41612-023-00501-4.
Jonard, F., A. F. Feldman, D. J. S. Gianotti, and D. Entekhabi,
: Observed water and light limitation across global ecosystems. Biogeosciences, 19(23), 5575–5590, doi:10.5194/bg-19-5575-2022.
Jonah, O. F., A. Coster, S. Zhang, L. Goncharenko, P. J. Erickson, E. R. de Paula, and E. A. Kherani,
: TID Observations and Source Analysis During the 2017 Memorial Day Weekend Geomagnetic Storm Over North America. JGR Space Physics, 123(10), 8749-8765, doi:10.1029/2018JA025367.
Johnston, B., F. Xie, and C. Liu,
: The effects of deep convection on regional temperature structure in the tropical upper tropopasphere and lower stratosphere. J. Geophys. Res., 123, 1585-1603, doi:10.1002/2017JD027120.
Johnston, B. R., F. Xie, and C. Liu,
: Relationships between Extratropical Precipitation Systems and UTLS Temperatures and Tropopause Height from GPM and GPS-RO . Atmosphere, 13(2), 196, doi:10.3390/atmos13020196.
Johnson, N. E., B. H. Tang, K. L. Corbosiero, and J. R. Moskaitis,
: Observed Downdrafts and Ventilation During the Rapid Intensity Changes of Hurricane Delta (2020). JGR Atmospheres, 130(1), e2024JD042915, doi:10.1029/2024JD042915.
Johnson, C. P.,
: Atmospheric Impacts from the 2010 Deepwater Horizon Oil Spill. LSU's Masters Thesis, , , doi:https://digitalcommons.lsu.edu/gradschool_theses/5784.
Johnson, B. T., W. S. Olson, and G. Skofronick-Jackson,
: The microwave properties of simulated melting precipitation particles: sensitivity to initial melting. Atmos. Meas. Tech., 9, 9-21, doi:10.5194/amt-9-9-2016.
Jing, Y., X. Li, X. Xu, L. Lin, Z. Liu, X.n She, and Y. Li,
: Enhanced Hourly Precipitation Estimation Using a Geographically Constrained Multi-Source Fusion Network With Cross Attention. Water Resources Research, 61(8), e2025WR040011, doi:10.1029/2025WR040011.
Jing, Y., L. Lin, X. Li, T. Li, and H. Shen,
: An attention mechanism based convolutional network for satellite precipitation downscaling over China. J. Hydrology, 613(Part B), 128388, doi:10.1016/j.jhydrol.2022.128388.
Jing, Y., L. Lin, X. Li, T. Li, and H. Shen,
: Cascaded Downscaling–Calibration Networks for Satellite Precipitation Estimation. IEEE Geoscience and Remote Sensing Letters, 19, 1-5, doi:10.1109/LGRS.2022.3214083.