GPM Refereed Publications
Du, Y. D. Wang, J. Zhu, Z. Lin, and Y. Zhong,
: Intercomparison of multiple high-resolution precipitation products over China: Climatology and extremes. Atmos. Res., 278, 106342, doi:10.1016/j.atmosres.2022.106342.
Duan, Y, A. M. Wilson, and A. P. Barros,
: 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,
: 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.
Duan, Y., M. D. Petters, and A. P. Barros,
: Understanding aerosol–cloud interactions through modeling the development of orographic cumulus congestus during IPHEx. Atmos. Chem. Phys., 19(3), 1413–1437, doi:10.5194/acp-19-1413-2019.
Duarte, G., M. Crestani Mota, and P. Paz,
: AGROMETEOROLOGICAL MODELING TO ESTIMATE SOYBEAN YIELD IN THE SOUTHERN CONE OF RONDÔNIA. BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura, 99(2), 1-12, doi:10.37856/bja.v99i2.4356.
Dube, A., and R. Ashrit,
: On the Utility of Ensemble Rainfall Forecasts Over River Basins in India. Pure and Applied Geophysics, 182(2), 775–796, doi:10.1007/s00024-025-03682-6.
Duncan, D. I., and C. D. Kummerow,
: A 1DVAR retrieval applied to GMI: Algorithm description, validation, and sensitivities. J. Geophys. Res., 121, 7415-7429, doi:10.1002/2016JD024808.
Duque, E. M., Y. Huang, P. T. May, and S. T. Siems,
: An Evaluation of IMERG and ERA5 Quantitative Precipitation Estimates over the Southern Ocean Using Shipborne Observations. J. Appl. Meteor. Climatol., 62(11), 1479–1495, doi:10.1175/JAMC-D-23-0039.1.
Durand, M., A. Barros, J. Dozier, R. F. Adler, S. Cooley, D. Entekhabi, B. Forman, A. Konings, J. Lundquist, T. Pavelsky, M. Rodell, and S. Steele-Dunne,
: Achieving Breakthroughs in Global Hydrologic Science by Unlocking the Power of Multisensor, Multidisciplinary Earth Observations. AGU Advances, 2(4), e2021AV000455, doi:10.1029/2021AV000455.
Durden, S. L.,
: 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.,
: 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.
Durden, S. L., S. Tanelli, and O. O. Sy,
: Comparison of GPM DPR and Airborne Radar Observations in OLYMPEX. IEEE Geoscience and Remote Sensing Letters, 17(10), 1707 - 1711, doi:10.1109/LGRS.2019.2952287.
Duvvuri, B.,
: Integrating remote sensing and machine learning to estimate monthly, near-global river discharges. Northeaster University College of Engineering, , , doi:10.17760/D20669645.
Duvvuri, B., and E. Beighley,
: Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies . Remote Sensing, 15(18), 4516, doi:10.3390/rs15184516.
D’Adderio, L.-P., G. Vulpiani, F. Porcù, A. Tokay, and R. Meneghini,
: 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.
E. K., Krishna Kumar, S., Abhilash, C. S., Abhiram Nirmal, Prabath H., Kurup,
: Identifying the hotspot regions of emerging triple risk due to pre-monsoon convective storms over Kerala, India. Geomatics, Natural Hazards and Risk, 16(1), 2575907, doi:10.1080/19475705.2025.2575907.
Ebtehaj, A. M., and E. Foufoula-Georgiou,
: Statistics of precipitation reflectivity images and cascade of gaussian scale mixtures. J. Geophys. Res., 116, D14110, doi:10.1029/2010JD015177.
Ebtehaj, A. M., and E. Foufoula-Georgiou,
: Orographic signature on multiscale statistics of extreme rainfall: A storm-scale study. J. Geophys. Res., 115, D23112, doi:10.1029/2010JD014093.
Ebtehaj, A. M., E. Foufoula-Georgiou,
: On variational downscaling, fusion, and assimilation of hydro-meteorological states: A unified framework via regularization. Water Resour. Res., 49, 1-20, doi:10.1002/wrcr.20424, 2013.
Ebtehaj, A. M., E. Foufoula-Georgiou,
: Adaptive fusion of multi-sensor precipitation using gaussian scale mixtures in the wavelet domain. J. Geophys. Res., 116, D22110, doi:10.1029/2011JD016219.