GPM Refereed Publications

Chern, J.-D., W.-K. Tao, S. E. Lang, X. Li and T. Matsui, : Evaluating Precipitation Features and Rainfall Characteristics in a Multi-Scale Modeling Framework. JAMES, 12(8), e2019MS002007, doi:10.1029/2019MS002007.
Choubey, S., P. Kumar, S. Chander, and R. Kumari, : Evaluation of Rainfall Variability Over Major River Basins of India Using Multi Temporal Satellite Data Products. Int'l J. Climatol., 45(5), , doi:10.1002/joc.8757.
Chua, S. D. X.,O. Oguge, C. A. Oliewo, R. Sserunjogi, D. Okure, P. Adong, A. Manyele, T. Hussein, Y. Yang, X. Lu, K. Lehtipalo, M. A. Zaidan, and T. Petäjä, : East African City Centers Show Lower PM2.5 Levels than Their Suburbs. Environmental Science & Technology Letters, 12(9), , doi:10.1021/acs.estlett.5c00451.
Chudler, K., W. Xu, and S. A. Rutledge, : Impact of the Boreal Summer Intraseasonal Oscillation on the Diurnal Cycle of Precipitation near and over the Island of Luzon. Mon. Wea. Rev., 148(5), 1805–1827, doi:10.1175/MWR-D-19-0252.1.
Chuphal, D. S., I. Malik, R. Singh, G. Vangala, M. Niranjannaik, U. Vegad, N. D. K, P. Mukhopadhyay, J. P. Selvan, V. Kapadia, and V. Mishra, : Multi-Day Extreme Precipitation Caused Major Floods in India During Summer Monsoon of 2024. Earth's Future, 13(5), e2024EF005497, doi:10.1029/2024EF005497.
Coffield, S., C. Graff, Y. Chen, P. Smyth, E. Foufoula-Georgiou, and J. Randerson, : Machine learning to predict final fire size at the time of ignition. International Journal of Wildland Fire, 28, 861-873, doi:10.1002/essoar.10501267.1.
Colle, B. A., A. R. Naeger, and A. Molthan, : Structure and Evolution of a Warm Frontal Precipitation Band during the GPM Cold Season Precipitation Experiment (GCPEx). Mon. Wea. Rev., 145, 473-493, doi:10.1175/MWR-D-16-0072.1.
Connor, D., V. Misra, and C. B. Jayasankar, : Impact of Dynamic Downscaling on the Simulation of Tropical Easterly Waves in the Intra-Americas Seas. J. Geophys. Res. Atmos., 130(17), e2025JD043454, doi:10.1029/2025JD043454.
Conrick, R. and C. F. Mass, : Evaluating Simulated Microphysics during OLYMPEX Using GPM Satellite Observations. J. Atmos. Sci., 76(4), 1093–1105, doi:10.1175/JAS-D-18-0271.1.
Coppersmith, E. J., Michael H. Cosh, W. A. Petersen, J. Prueger, and J. J. Niemeier, : Soil Moisture Model Calibration and Validation: An ARS Watershed on the South Fork Iowa River. J. Hydrometeor., 16, 1087-1101, doi:10.1175/JHM-D-14-0145.1.
Costa Neto, F. A. P. W. D., C. O. de Britto Salgueiro, R. B. G. G. de Menezes, S. M. Dos Santos, and L. M. M. de Oliveira, : Análise de concordância dos dados de precipitação estimados por sensoriamento remoto em Mesorregiões do estado de Pernambuco – Brasil. Revista Brasileira de Climatologia, 36, 452-477, doi:10.55761/abclima.v36i21.19499.
Coto, J., W. Linwood Jones, and G. M. Heymsfield, : Validation of the High-Altitude Wind and Rain Airborne Profiler during the Tampa Bay Rain Experiment. Climate, 9(6), 89, doi:10.3390/cli9060089.
Cunha, L. K., J. A. Smith, W. F. Krajewski, M. L. Baeck, and B.-C. Seo, : NEXRAD NWS polarimetric precipitation product evaluation for IFloodS. J. Hydrometeor., 16(4), 1676-1699, doi:10.1175/JHM-D-14-0148.1.
Currier, W. R., T. Thorson, and J. D. Lunquist, : Independent Evaluation of Frozen Precipitation from WRF and PRISM in the Olympic Mountains, WA, USA. J. Hydrometeor., 18, 2681–2703, doi:10.1175/JHM-D-17-0026.1.
D'Adderio, L. P., F. Corcu, G. Panegrossi, A. C. Marra, P. Sano, and S. Dietrich, : Comparison of the GPM DPR Single- and Double-Frequency Products Over the Mediterranean Area. IEEE Transactions on Geoscience and Remote Sensing, 57(12), 9724-9739, doi:10.1109/TGRS.2019.2928871.
D'Adderio, L.-P., F. Porcù, and A. Tokay, : Identification and Analysis of Collisional Breakup in Natural Rain. J. Atmos. Sci., 72, 3404-3416, doi:10.1175/JAS-D-14-0304.1.
Dah, A., B. Khouider, and C. Schumacher, : A Multicloud Model for Coastal Convection. Geosciences, 13(9), 264, doi:10.3390/geosciences13090264.
Das, S., Y. Wang, J. Gong, L. Ding, S. J. Munchak, C. Wang, D. L. Wu, L. Liao, W. Olson, and D. Barahona, : A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements . Remote Sensing, 14(15), 3631, doi:10.3390/rs14153631.
Das, T., and A. K. Sarma , : Climate change impact on rainfall erosivity factor using disaggregation model under CMIP6 shared socio-economic pathways. Theoretical and Applied Climatology, 156(7), 381, doi:10.1007/s00704-025-05608-7.
De Meyer, V., and R. Roca, : Thermodynamic Scaling of Extreme Daily Precipitation over the Tropical Ocean from Satellite Observations. J. Meteor. Soc. Japan, 99(2), 423-436, doi:10.2151/jmsj.2021-020.