GPM Refereed Publications

Displaying 61 - 80 of 588 Total Publications
Chen, S., Y. Hong, Q. Cao, P.E. Kirstetter, J.J. Gourley, Y. Qi, J. Zhang, K. Howard, J. Hu and J. Wang, 2013: 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, 2019: 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.
Coffield, S., C. Graff, Y. Chen, P. Smyth, E. Foufoula-Georgiou, and J. Randerson, 2019: 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, 2017: 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.
Conrick, R. and C. F. Mass, 2019: 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, 2015: 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.
Cunha, L. K., J. A. Smith, W. F. Krajewski, M. L. Baeck, and B.-C. Seo, 2015: 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, 2017: 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. Porcù, and A. Tokay, 2015: Identification and Analysis of Collisional Breakup in Natural Rain. J. Atmos. Sci., 72, 3404-3416, doi:10.1175/JAS-D-14-0304.1.
Delahaye, F., P. E. Kirstetter, V. Dubreuil, L. A. T. Machado and D. A. Vila, 2015: A consistent gauge database for daily rainfall analysis over the Legal Brazilian Amazon. J. Hydrology, 527, 292-304, doi:10.1002/qj.2416.
Demir, I., H. Conover, W. F. Krajewski, B.-C. Seo, R. Goska, Y. He, M. F. McEniry, S. J. Graves, and W. A. Petersen, 2015: Data-Enabled Field Experiment Planning, Management, and Research Using Cyberinfrastructure. J. Hydrometeor., 16, 1155-1170, doi:10.1175/JHM-D-14-0163.1.
Dolan, B., B. Fuchs, S. A. Rutledge, E. A. Barnes, and E. J. Thompson, 2018: Primary Modes of Global Drop Size Distributions. J. Atmos. Sci., 75, 1453–1476, doi:10.1175/JAS-D-17-0242.1.
Draper, D. W., D. A. Newell, D. S. McKague, and J. R. Piepmeier, 2015: Assessing Calibration Stability Using the Global Precipitation Measurement (GPM) Microwave Imager (GMI) Noise Diodes. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 4239-4227, doi:ieeexplore.ieee.org/iel7/4609443/4609444/07061996.pdf.
Draper, D. W., D. A. Newell, F. J. Wentz, S. Krimchansky and G. Skofronick-Jackson, 2015: The Global Precipitation Measurement (GPM) Microwave Imager (GMI): Instrument Overview and Early On-orbit Performance. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 3452-3462, doi:10.1109/JSTARS.2015.2403303.
Duan, Y, A. M. Wilson, and A. P. Barros, 2015: Scoping a field experiment: error diagnostics of TRMM precipitation radar estimates in complex terrain as a basis for IPHEx2014. Hydrology and Earth System Sciences, 19, 1501-1520, doi:10.5194/hess-19-1501-2015.
Duan, Y. and A. P. Barros, 2017: Understanding How Low-Level Clouds and Fog Modify the Diurnal Cycle of Orographic Precipitation Using In Situ and Satellite Observations. Rem. Sens., 9, 920, doi:10.3390/rs9090920.
Duncan, D. I., and C. D. Kummerow, 2016: A 1DVAR retrieval applied to GMI: Algorithm description, validation, and sensitivities. J. Geophys. Res., 121, 7415-7429, doi:10.1002/2016JD024808.
Durden, S. L., 2019: Spatial variability of airborne radar reflectivity and velocity measurements of tropical rain with application to spaceborne radar. AIMS Electronic Electrical Eng., 3(2), 164–180, doi:10.3934/ElectrEng.2019.2.164.
Durden, S. L., 2018: Relating GPM Radar Reflectivity Profile Characteristics to Path Integrated Attenuation. IEEE Trans. Geosci. Remote Sensing, 56(7), 4065-4074, doi:10.1109/TGRS.2018.2821601.
D’Adderio, L.-P., G. Vulpiani, F. Porcù, A. Tokay, and R. Meneghini, 2018: Comparison of GPM Core Observatory and Ground-Based Radar Retrieval of Mass-Weighted Mean Raindrop Diameter at Midlatitude. J. Hydrometeor., 19(10), 1583–1598, doi:10.1175/JHM-D-18-0002.1.

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