GPM Refereed Publications
Roca, R., P. Chambon, I. Jobard, P. E. Kirstetter, M. Gosset and J. C. Bergès,
: Comparing satellite and surface rainfall products over West Africa at meteorologically relevant scales during the AMMA campaign using error estimates. J. Appl. Meteor. Climatol., 49, 715-731, doi:10.1175/2009JAMC2318.1.
Roca, R., Z. S. Haddad, F. F. Akimoto, L. Alexander, A. Behrangi, G. J. Huffman, S. Kato, C. Kidd, P. E. Kirstetter, T. Kubota, C. D. Kummerow, T. S. L'Ecuyer, V. Levizanni, V. Maggioni, C. Massari, H. Masunaga, M. Schroder, F. J. Tapiador, F. J. Turk, and N. Utsumi,
: The Joint IPWG/GEWEX Precipitation Assessment. WCRP Report, 2/2021, World Climate Research Programme (WCRP), , 125, doi:10.13021/gewex.precip.
Rodgers, J., V. Misra, and C. B. Jayasankar,
: Using the Observed Variations of the Start Date of the Rainy Season over Central America for Its Reliable Seasonal Outlook. J. Climate, 37(18), 4901–4913, doi:10.1175/JCLI-D-23-0699.1.
Rose, C. R., and V. Chandrasekar,
: Extension of GPM dual-frequency iterative retrieval method with DSD-profile constraint. IEEE Trans. Geosci. Remote Sens., 44, 328–335, doi:10.1109/TGRS.2005.861410.
Rose, C. R., and V. Chandrasekar,
: A GPM Dual-Frequency Retrieval Algorithm: DSD Profile-Optimization Method. J. Atmos. Oceanic Technol., 23, 1372-1383, doi:10.1175/JTECH1921.1.
Ruijin, Z., Z. Lv, M. Li, J. Wu, M. Dong, and H. Xu,
: Evaluations of GPM IMERG-Late Satellite Precipitation Product for Extreme Precipitation Events in Zhejiang Province. Atmosphere, 16(7), 821, doi:10.3390/atmos16070821.
Russotto, R. D., J. D. O. Strong, S. J. Camargo, A. H. Sobel, G. Elsaesser, M. Kelley, A. D. Del Genio, Y. Moon, and D. Kim,
: Evolution of Tropical Cyclone Properties Across the Development Cycle of the GISS-E3 Global Climate Model. J. Adv. Model. Earth Syst., 14(1), e2021MS002601, doi:10.1029/2021MS002601.
Ruti, P. M., O. Tarasova, J. H. Keller, G. Carmichael, Ø. Hov, S. C. Jones, D. Terblanche, C. Anderson-Lefale, and A. P. Barros et. al.,
: Advancing Research for Seamless Earth System Prediction . Bull. Amer. Meteor. Soc., 101(1), E23–E35, doi:10.1175/BAMS-D-17-0302.1.
Rysman J.-F., G. Panegrossi, P. Sanò, A. C. Marra, S. Dietrich, L. Milani, M. S. Kulie, D. Casella, A. Camplani, C. Claud, and L. Edel,
: Retrieving Surface Snowfall With the GPM Microwave Imager: A New Module for the SLALOM Algorithm. Geophys. Res. Lett., 46(22), 13593-13601, doi:10.1029/2019gl084576.
Rysman, J.-F., G. Panegrossi, P. Sanò, A. Marra, S. Dietrich, L. Milani, and M. Kulie,
: SLALOM: An All-Surface Snow Water Path Retrieval Algorithm for the GPM Microwave Imager. Remote Sens., 10(8), 1278, doi:10.3390/rs10081278.
Ryu, Y.-H., J. A. Smith, M. L. Baeck, L. Cunha, E. Bou-Zeid, and W. F. Krajewski,
: The regional water cycle and heavy spring rainfall in Iowa: Observational and modeling analyses from the IFloodS campaign. J. Hydrometeor., 17(12), 2763–2784, doi:10.1175/JHM-D-15-0174.1.
Salah, M., A. El-Mostafa, and M. A. Gad,
: A tolerant hydrologic technique for real-time selection of optimum QPFs from NWPMs for flood warning applications. Water Sci. Technol., 89(4), 841–858, doi:10.2166/wst.2024.046.
Sam, S., and M. Özger,
: A multi-method and multi-duration trend analysis of temperature and precipitation in Istanbul, Turkey, by using meteorological records, MERRA-2 reanalysis, and IMERG estimations. HydroResearch, 8, 209-222, doi:10.1016/j.hydres.2024.11.005 .
Sambath V., N. Dubois-Quilici, N. Viltard, A. Martini, and C. Mallet,
: Unsupervised Domain Adaptation to Mitigate Out-of-Distribution Problem of Spatial Radiometer Images: Application to Quantitative Precipitation Estimation. IEEE Transactions on Geoscience and Remote Sensing, 62, 5301414, doi:10.1109/TGRS.2024.3403373.
Sanò P., G. Panegrossi, D. Casella, A. C. Marra, F. Di Paola, and S. Dietrich,
: The new Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for the cross-track scanning ATMS radiometer: description and verification study over Europe and Africa using GPM and TRMM spaceborne radars. Atmos. Meas. Tech., 9, 5441-5460, doi:10.5194/amt-9-5441-2016.
Sano, P., G. Panegrossi, D. Casella, A. C. Marra, L. P. D'Adderio, J.-F. Rysman, and S. Dietrich,
: The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer. Remote Sensing, 10(7), 1122, doi:10.3390/rs10071122.
Sapan, E. G. A., W. D. Susanti, B. H. Santosa, F. A. Wardhani, N. Widiatmoko, M. R. Yuvhenmindo, I. Ridwansyah, E. Triwisesa, and A. E. Pravitasari,
: Flash Floods Impact in the Upper Citarum Watershed: A Hydrological and Hydraulic Simulation Approach. IOP Conference Series: Earth and Environmental Science, 1443(1), 012019, doi:10.1088/1755-1315/1443/1/012019.
Sapucci, C. R., V. C. Mayta, and L. da Silva Dias,
: South American Intraseasonal Oscillation: EOF and Neural Network Approaches. JGR Atmospheres, 130(5), e2024JD041988, doi:10.1029/2024JD041988.
Sapucci, C. R., V. C. Mayta, and P. L. Silva Dias,
: Predictability of Precipitation and Intraseasonal Variability: Insights From ECMWF Model Skill Over Brazil. Int'l Journal of Climatol., 45(7), e8820, doi:10.1002/joc.8820.
Sarkar, A., and J. Panda,
: Comprehending dust aerosol impacts on cloud and rainfall distribution during a ‘dust-rain’ storm through WRF-Chem simulations. Natural Hazards, 121(14), 16481–16514, doi:10.1007/s11069-025-07438-2.