GPM Refereed Publications

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.
Chandrasekar, V, H. N. Chen, R. M. Beauchamp, M. Vega, M. Schwaller, W. Petersen, D. Wolff, and D. Willie, : Deployment and Performance of the NASA D3R During GPM iFloods Field Campaign. 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)., , , doi:.
Chandrasekar, V, M. Le, and J. Awaka, : Vertical Profile Classification Algorithm for GPM. 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)., , , doi:.
Chase, R. J., J. A. Finlon, P. Borque, G. M. McFarquhar, S. W. Nesbitt, S. Tanelli, O. O. Sy, S. L Durden, and M. R. Poellot, : Evaluation of Triple‐Frequency Radar Retrieval of Snowfall Properties Using Coincident Airborne In Situ Observations During OLYMPEX. Geophys. Res. Letts., 45(11), 5752-5760, doi:10.1029/2018GL077997.
Chase, R. J., S. W. Nesbitt, and G. M. McFarquhar, : A Dual-Frequency Radar Retrieval of Two Parameters of the Snowfall Particle Size Distribution Using a Neural Network. J. Appl. Meteor. Climatol., 60(3), 341–359, doi:10.1175/JAMC-D-20-0177.1.
Chase, R., S. M. Nesbitt, and G. M. McFarquhar, : Evaluation of the Microphysical Assumptions within GPM-DPR Using Ground-Based Observations of Rain and Snow. Atmosphere, 11(6), 619, doi:10.3390/atmos11060619.
Chavez, S. J., Y. Silva, and A. P. Barros, : High-Elevation Monsoon Precipitation Processes in the Central Andes of Peru. JGR Atmos., 125(24), e2020JD032947, doi:10.1029/2020JD032947.
Chen, B., and C. Liu, : Warm organized rain systems over the tropical eastern pacific. J. Climate, 29, 3403-3422, doi:10.1175/JCLI-D-15-0177.1.
Chen, B., C. Liu, and B. Mapes, : Relationships between large precipitating systems and atmospheric factors at a grid scale. J. Atmos. Sci., 74, 531-552, doi:10.1175/JAS-D-16-0049.1.
Chen, C., Y. Hong, Q. Cao, J. J. Gourley, Y. Tian, J. Hardy, P. E. Kirstetter, B. Yong, and Y. Shen, : Similarity and Difference of the two Successive V6 and V7 TRMM Multi-Satellite Precipitation Analysis Performance over China. J. Geophys. Res., 118, 13060-13074, doi:10.1002/2013JD019964.
Chen, F., and X. Li, : Evaluation of IMERG and TRMM 3B43 Monthly Precipitation Products over Mainland China. Remote Sens., 8, 472, doi:10.3390/rs8060472.
Chen, H., B. Yong, P. E. Kirstetter, L. Wang, and Y. Hong, : Global component analysis of errors in three satellite-only global precipitation estimates. Hydrol. Earth Syst. Sci., 25, 3087–3104, doi:10.5194/hess-25-3087-2021.
Chen, S., J.J. Gourley, Y. Hong, P.E. Kirstetter, J. Zhang, K. Howard, Z. Flamig, J. Hu, Y. Qi, : Evaluation and Uncertainty Estimation of NOAA/NSSL Next Generation National Mosaic QPE (Q2) over the Continental United States. J. Hydrometeor., 14, 1308-1322, doi:10.1175/JHM-D-12-0150.1.
Chen, S., P.E. Kirstetter, Y. Hong, J.J. Gourley, Y. Tian, Y. Qi, Q. Cao, J. Zhang, K. Howard, J. Hu and X. Xue, : Evaluation of Spatial Errors of Precipitation Rates and Types from TRMM Space-borne Radar over the southern CONUS. J. Hydrometeor., 14, 1884-1896, doi:10.1175/JHM-D-13-027.1.
Chen, S., Y. Hong, J. J. Gourley, G. J. Huffman, Y. D. Tian, Q. Cao, P. E. Kirstetter, J. J. Hu, J. Hardy, X. W. Xue, B. Yong, : Evaluation of the Latest TMPA Precipitation Estimates (Successive 3B42 V6 and V7) over the Continental United States. 
Water Resources Research, 49, 1-13, doi:10.1002/2012WR012795 .
Chen, S., Y. Hong, Q. Cao, P.E. Kirstetter, J.J. Gourley, Y. Qi, J. Zhang, K. Howard, J. Hu and J. Wang, : Performance Evaluation of Radar and Satellite Rainfall Products for Typhoon Morakot Over Taiwan: Are Remote-sensing Products Ready for Gauge Denial Scenario of Extreme Events?. J. Hydrology, 506, 4-13, doi:10.1016/j.jhydrol.2012.12.026.
Chena, H., B. Yonga, J. J. Gourleyc, J. Liud, L. Rena, W. Wanga, Y. Honge, and J. Zhangd, : Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates. J. Hydrology, 575, 1-6, doi:10.1016/j.jhydrol.2019.05.020.
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.
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.
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.