GPM Refereed Publications
Rios Gaona, M. F., A. Overeem, A. M. Brasjen, J. F. Meirink, H. Leijnse, and R. Uijlenhoet,
: Evaluation of Rainfall Products Derived From Satellites and Microwave Links for The Netherlands. IEEE Transactions on Geoscience and Remote Sensing, 55(12), , doi:10.1109/TGRS.2017.2735439.
Rios Gaona, M. F., A. Overeem, H. Leijnse, and R. Uijlenhoet,
: First-year evaluation of GPM-rainfall over the Netherlands: IMERG Day-1 Final Run (V03D). J. Hydrometeor., 17, 2799–2814, doi:10.1175/jhm-d-16-0087.1.
Rios Gaonaa, M. F., G. Villarinia, W. Zhanga, and G. A. Vecchi,
: The added value of IMERG in characterizing rainfall in tropical cyclones. Atmos. Res., 209, 95-102, doi:10.1016/j.atmosres.2018.03.008.
Rivelli-Zea, L., S. W. Nesbitt, A. L. Ricon, A. Varble, and J. A. Hardin,
: Raindrop Size Spectrum in Deep Convective Regions of the Americas . Atmosphere, 12(8), 979, doi:10.3390/atmos12080979.
Robinne, F.-N., K. D. Bladon, C. Miller, M.-A. Parisien, J. Mathieu, M. D. Flannigan,
: A spatial evaluation of global wildfire-water risks to human and natural systems. Science of the Total Environment, 610-611, 1193-1206, doi:10.1016/j.scitotenv.2017.08.112.
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.
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.
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.
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.
Sawada, M., and K. Ueno,
: Heavy Winter Precipitation Events with Extratropical Cyclone Diagnosed by GPM Products and Trajectory Analysis. J. Meteor. Soc. Japan, 99(2), 473-496, doi:10.2151/jmsj.2021-024.
Scarino, B., K. Itterly, K. Bedka, C. R. Homeyer, J. Allen, S. Bang, and D. Cecil,
: Deriving Severe Hail Likelihood from Satellite Observations and Model Reanalysis Parameters Using a Deep Neural Network. Artif. Intell. Earth Syst., 2(4), , doi:10.1175/AIES-D-22-0042.1.
Schiro, K. A., H. Su, F. Ahmed, N. Dai, C. E. Singer, P. Gentine, G. S. Elsaesser, J. H. Jiang, Y.-S. Choi, and J. D. Neelin,
: Model spread in tropical low cloud feedback tied to overturning circulation response to warming. Nature Communications, 13(1), 7119, doi:10.1038/s41467-022-34787-4.
Schreck, C. J., M. A. Janiga, and S. Baxter,
: Sources of Tropical Subseasonal Skill in the CFSv2. Mon. Wea. Rev., 148, 1553–1565, doi:10.1175/MWR-D-19-0289.1.