GPM Refereed Publications
Casella D., L. M. Amaral, S. Dietrich, A. C. Marra, P. Sanò, and G. Panegrossi,
: The Cloud Dynamics and Radiation Database algorithm for AMSR2: exploitation of the GPM observational dataset for operational applications. IEEE J. of Sel. Topics in Appl. Earth Obs. and Rem. Sens., 10, 3985 - 4001, doi:10.1109/JSTARS.2017.2713485.
Casella, D., G. Panegrossii, S. Dietrich, A. C. Marra, P. Sanò, M. S. Kulie, and B. T. Johnson,
: Evaluation of the GPM-DPR snowfall detection capability: comparison with CloudSat. Atmos. Res., 197, 64-75, doi:10.1016/j.atmosres.2017.06.018.
Castillo, M. M., A. J. Ulseth, A. Jarquín-Sánchez, A. Álvarez-Merino, and K. A. Capps,
: Hydrological seasonality is a major driver of ecosystem metabolism in tropical nonwadeable rivers. Luminlogy and Oceanography, 70(9), 2417-2430, doi:10.1002/lno.70132.
Cattani, E., A. Merino, and V. Levizzani,
: Evaluation of Monthly Satellite-Derived Precipitation Products over East Africa. J. Hydrometeorlogy, 17, 2555-2573, doi:10.1175/JHM-D-15-0042.1.
Causse, A., C. Planche, E. Buisson, and J.-L. Baray,
: Evaluation of Rain Estimates from Several Ground-Based Radar Networks and Satellite Products for Two Cases Observed over France in 2022. Atmosphere, 14(12), 1726, doi:10.3390/atmos14121726.
Cavagnaro, D. B., S. W. McCoy, M. A. Thomas, J. Kostelnik, D. N. Lindsay, M. Pirulli, A. Leonardi, and F. Vagnon,
: The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California. E3S Web of Conferences, 415, 04003, doi:10.1051/e3sconf/202341504003.
Cea, L., E. Sañudo, C. Montalvo, J. Farfán, J. Puertas, and P. Tamagnone,
: Recent advances and future challenges in urban pluvial flood modelling. Urban Water Journal, 22(2), 149-173, doi:10.1080/1573062X.2024.2446528.
Ceamanos, X., Q. Coopman, M. George, J. Riedi, M. Parrington, and C. Clerbaux,
: Remote sensing and model analysis of biomass burning smoke transported across the Atlantic during the 2020 Western US wildfire season. Scientific Reports, 13(1), 16014, doi:10.1038/s41598-023-39312-1.
Cecil, D. J., and T. Chronis,
: Polarization Corrected Temperatures for 10-, 19-, 37-, and 89-GHz Passive Microwave Frequencies. J. Appl. Meteor. Clim., 57(10), 2249–2265, doi:10.1175/JAMC-D-18-0022.1.
Cecil, D. J., M. B. Solomon, R. Mecikalski, and K. D. Leppert II,
: Hydrometeor Identification Using GMI Passive Microwave Brightness Temperature. J. Appl. Meteor. and Climatol., 63(7), 749–764, doi:10.1175/JAMC-D-23-0196.1.
Chahinian, N., M. Alcoba, N. d. J. Dembélé, F. Cazenave, and C. Bouvier,
: Evaluation of an early flood warning system in Bamako (Mali): Lessons learned from the flood of May 2019. Journal of Flood Risk Management, 16(3), e12878, doi:10.1111/jfr3.12878.
Chakraborty, A., J. B. Samuel, and A. Paleri,
: Role of land-surface vegetation in the march of Indian monsoon onset isochrones in a coupled model. Quarterly Journal of the Royal Meteorological Society, 149(750), 115-132, doi:10.1002/qj.4398.
Chakraborty, R., B. Srinivas, and A. Chakraborty,
: Impact of lithium mining on climate change in the Atacama Desert, South America. 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, , 10.23919/AT-AP-RASC54737.2022.9814388, doi:.
Chakraborty, S., M. K. Devnath, A. Jabeli, C. Kulkarni, G. Boteju, J. Wang, and V. P. Janeja ,
: Impact of increased anthropogenic Amazon wildfires on Antarctic Sea ice melt via albedo reduction. Environmental Data Science, 4, , doi:10.1017/eds.2025.1.
Chakraborty, T., Z. S. Venter, Y. Qian, and X. Lee,
: Lower Urban Humidity Moderates Outdoor Heat Stress. AGU Advances, 3(5), e2022AV000729, doi:10.1029/2022AV000729.
Chakri, Achraf, Laftouhi, Nour-Eddine, Zouhri, Lahcen, Ibouh, Hassan, and M. Ibnoussina,
: Assessment of Satellite and Reanalysis Precipitation Data Using Statistical and Wavelet Analysis in Semi-Arid, Morocco. Water, 17(11), 1714, doi:10.3390/w17111714.
Chalmers, C., Y. Zhang, J. Xiao, X. Li, and A. Rigden,
: Defining the Agricultural Wet Season in Africa Using Soil Moisture From the Soil Moisture Active-Passive Satellite. Geophys. Res. Letts., 52(18), e2025GL118236, doi:10.1029/2025GL118236.
Chamberlain, J., D. Starobinski, and J. T. Johnson,
: Facilitating Spectrum Sharing With Passive Satellite Incumbents. IEEE Journal on Selected Areas in Communications, 42(12), 3719-3733, doi:10.1109/JSAC.2024.3459034.
Chamberlain, J., J. T. Johnson, and D. Starobinski,
: Spectrum Sharing between Earth Exploration Satellite and Commercial Services: An Economic Feasibility Analysis. 2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), , 197-206, doi:10.1109/DySPAN60163.2024.10632841.
Chan, M.-Y., X. Chen, and J. L. Anderson,
: The Potential Benefits of Handling Mixture Statistics via a Bi-Gaussian EnKF: Tests With All-Sky Satellite Infrared Radiances. JAMES, 15(2), e2022MS003357, doi:10.1029/2022MS003357.