GPM Refereed Publications

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.
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.
Schulte, R. M., and C. Kummerow, : Can DSD Assumptions Explain the Differences in Satellite Estimates of Warm Rain?. J. of Atmos. and Oceanic Tech., 39(12), 1889–1901, doi:10.1175/JTECH-D-22-0036.1.
Schulte, R., C. D. Kummerow, C. Klepp, and G. G. Mace, : How Accurately Can Warm Rain Realistically Be Retrieved with Satellite Sensors? Part I: DSD Uncertainties. J. Appl. Meteorol. Climatol., 61(9), 1087-1105, doi:10.1175/JAMC-D-21-0158.1.
Schulte, R., C. D. Kummerow, S. M. Saleebe and G. G. Mace, : How Accurately Can Warm Rain Realistically Be Retrieved with Satellite Sensors? Part II: Horizontal and Vertical Heterogeneities. J. Appl. Meteor. Climatol., 62(2), 155-170, doi:10.1175/JAMC-D-22-0051.1.
Schumacher, C., and A. Funk, : Assessing Convective-Stratiform Precipitation Regimes in the Tropics and Extratropics With the GPM Satellite Radar. Geophys. Res. Lett., 50(14), e2023GL102786, doi:10.1029/2023GL102786.
Schumann, G. J-P., S. Frye, G. Wells, R. Adler, R. Brakenridge, J. Bolten, J. Murray, D. Slayback, F. Policelli, D. Kirschbaum, H. Wu, P. Cappelaere, T. Howard, Z. Flamig, R. Clark, T. Stough, M. Chini, P. Matgen, D. Green, and B. Jones, : Unlocking the full potential of Earth observation during the 2015 Texas flood disaster. Water Resour. Res., 52, 3288–3293, doi:10.1002/2015WR018428.
Schwaller, M. R., and K. R. Morris, : Ground Validation Network for the Global Precipitation Measurement Mission. J. Atmos. Oceanic Technol., 28, 301-319, doi:10.1175/2010JTECHA1403.1.
Seo, B.-C., B. Dolan, W. F. Krajewski, S. A. Rutledge, and W. Petersen, : Comparison of Single- and Dual-Polarization–Based Rainfall Estimates Using NEXRAD Data for the NASA Iowa Flood Studies Project. J. Hydrometeor., 16, 1658-1675, doi:10.1175/JHM-D-14-0169.1.
Seo, B.-C., F. Quintero, and W.F. Krajewski, : Hydrologic Assessment of IMERG Products Across Spatial Scales Over Iowa. J. Hydrometeorology, 24(6), 997-1015, doi:10.1175/JHM-D-22-0129.1.
Seo, B.-C., W. F. Krajewski, F. Quintero, M. ElSaadani, R. Goska, L. K. Cunha, B. Dolan, D. B. Wolff, J. A. Smith, S. A. Rutledge, and W. A. Petersen, : Comprehensive evaluation of the IFloodS radar-rainfall products for hydrologic applications. J. Hydrometeor., 19(11), 1793-1813, doi:10.1175/JHM-D-18-0080.1.
Seo, E.-K., S.-D. Yang, M. Grecu, G.-H. Ryu, G. Liu, S. Hristova-Veleva, Y.-J. Noh, Z. Haddad, and J. Shin, : Optimization of Cloud-Radiation Databases for Passive Microwave Precipitation Retrievals over Ocean. J. Atmos. Oceanic Technol., 33, 1649–1671, doi:JTECH-D-15-0198.1.
Seto, S. and Iguchi Toshio, : Rainfall-induced changes in actual surface backscattering cross sections and effects on rain-rate estimates by spaceborne precipitation radar. J. Atmos. Oceanic Technol., 24(10), 1693-1709, doi:10.1175/JTECH2088.1.
Seto, S. and T. Iguchi, : Applicability of the Iterative Backward Retrieval Method for the GPM Dual-Frequency Precipitation Radar. IEEE Transactions on Geoscience and Remote Sensing, 49(6), 1827-1838, doi:10.1109/TGRS.2010.2102766.