GPM Refereed Publications
Sarkar, D., A. Kesarkar, J. Bhate, P. Goriparthi, and A. Chandrasekar,
: Synoptic forcing and thermo-dynamical processes during cloudburst event over Sauni Binsar, Uttarakhand, India. Atmos. Res., 310, 107626, doi:10.1016/j.atmosres.2024.107626.
Sarkar, S., and S. Narbar,
: Operational high-resolution Global Forecast System (GFS) T1534 model fidelity in capturing the monsoon onset over Kerala. Meteorology and Atmospheric Physics, 137(3), 29, doi:10.1007/s00703-025-01076-w.
Sattar, A., et. al.,
: The Sikkim flood of October 2023: Drivers, causes, and impacts of a multihazard cascade. Science, 387(6740), eads2659, doi:10.1126/science.ads2659.
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.
Sazonov, D. S.,
: Algorithm Adjustment for Recovering Precipitation Based on MTVZA-GYa No. 2-2 Measurements. Izvestiya, Atmospheric and Oceanic Physics, 60(12), 1471-1477, doi:10.1134/s0001433825700136.
Sazonov, D. S., and I. N. Sadovsky,
: Geographical Reference Adjustment of Frequency Channels 52–91 GHz of the MTVZA-GYa Satellite Microwave Radiometer. Izvestiya, Atmospheric and Oceanic Physics, 60(9), 1172–1182, doi:10.1134/s0001433824701135.
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.
Seijo, M. F. V., L. A. Otero, and R. D. Piacentini,
: Spatio-Temporal Analysis of Fire Events Over the Past 10 Years in the Central-East Region of Argentina and Surrounding Areas. 2024 IEEE Biennial Congress of Argentina (ARGENCON), , 1-8, doi:10.1109/ARGENCON62399.2024.10735824.
Seiki, T.,
: Near-Global Three-Dimensional Hail Signals Detected by Using GPM-DPR Observations. J. Meteor. Soc. Japan, 99(2), 379-402, doi:10.2151/jmsj.2021-018.
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.