GPM Refereed Publications
Ehsani, M. R., and A. Behrangi,
: A comparison of correction factors for the systematic gauge-measurement errors to improve the global land precipitation estimate. J. Hydrology, 610, 127884, doi:10.1016/j.jhydrol.2022.127884.
Ehsani, M. R., and Coauthors,
: 2019-2020 Australia Fire and Its Relationship to Hydroclimatological and Vegetation Variabilities. Water, 12, 3067, doi:10.3390/w12113067.
Ehsani, M. R., S. Heflin, C. B. Risanto, and A. Behrangi,
: How well do satellite and reanalysis precipitation products capture North American monsoon season in Arizona and New Mexico?. Weather and Climate Extremes (Science Direct), 38, 100521, doi:10.1016/j.wace.2022.100521.
ElSadaani, M., W. F. Krajewski, and D. L. Zimmerman,
: River network based characterization of errors in remotely sensed rainfall products in hydrological applications. Rem. Sens. Letts., 9(8), 743-752, doi:10.1080/2150704X.2018.1475768.
Elsaesser, G. S., C. W. O'Dell, M. D. Lebsock, R. Bennartz, T. J. Greenwald, and F. J. Wentz,
: The Multisensor Advanced Climatology of Liquid Water Path (MAC-LWP). J. Climate, 30(24), 10193–10210, doi:10.1175/JCLI-D-16-0902.1.
Elsaesser, G. S., R. Roca, T. Fiolleau, A. D. Del Genio, and J. Wu,
: A Simple Model for Tropical Convective Cloud Shield Area Growth and Decay Rates Informed by Geostationary IR, GPM, and Aqua/AIRS Satellite Data. JGR Atmospheres, 127(10), e2021JD035599, doi:10.1029/2021JD035599.
Elsaesser, Gregory S., M. Van Lier‐Walqui, Q. Yang, M. Kelley, A. S. Ackerman, A. M. Fridlind, G. V. Cesana, G. A. Schmidt, J. Wu, A. Behrangi, S. J. Camargo, B. De, K. Inoue, N. M. Leitmann‐Niimi, Nicolas M., and J. D. O. Strong,
: Using Machine Learning to Generate a GISS ModelE Calibrated Physics Ensemble (CPE). Journal of Advances in Modeling Earth Systems, 17(4), e2024MS004713, doi:10.1029/2024MS004713.
Emberson, R., D. Kirschbaum, and T. Stanley,
: Landslide Hazard and Exposure Modelling in Data-Poor Regions: The Example of the Rohingya Refugee Camps in Bangladesh. Earth's Future, 9, 2, doi:10.1029/2020EF001666.
Emberson, R., D. Kirschbaum, and T. Stanley,
: New global characterisation of landslide exposure. Nat. Hazards Earth Syst. Sci., 20, 3413–3424, doi:10.5194/nhess-20-3413-2020.
Emberson, R., D. Kirschbaum, and T. Stanley,
: Global connections between El Nino and landslide impacts. Nature Communications, 12, Article 2262, doi:10.1038/s41467-021-22398-4.
En-nagre, K., M. Aqnouy, A. Bouadila, C. Et-Takaouym, M. Chahid, I. Bouizrou, I. Hilal, J. E. S. El Messari, and A. Tariq,
: Assessment of three satellite precipitation products for hydrological studies in a data-scarce context: Ouarzazate basin, southern Morocco. Natural Hazards Research, , S2666592125000216, doi:10.1016/j.nhres.2025.02.008.
Endsley, K. A., M. Zhao, J. S. Kimball, T. Albrethsen, and S. Devadiga,
: Improved Global Estimates of Terrestrial Evapotranspiration Using the MODIS and VIIRS Sensors. J. Hydrometeorology, 26(6), 817–833, doi:10.1175/JHM-D-24-0145.1.
Engsig, M., A. Tejedor, Y. Moreno, E. Foufoula-Georgiou and C. Kasmi,
: DomiRank Centrality reveals structural fragility of complex networks via node dominance. Nature Communications, 15(56), , doi:10.1038/s41467-023-44257-0.
Erlingis, J., J. J. Gourley, P. E. Kirstetter, E. Anagnostou, J. Kalogiros, M. Anagnostou,
: Evaluation of Operational and Experimental Precipitation Algorithms and Microphysical Insights during IPHEx. J. Hydrometeor., 19(1), 113-125, doi:10.1175/JHM-D-17-0080.1.
Fan, J., Y.-C. Liu, K.-M. Xu, K. North, S. Collis, X. Dong, G. J. Zhang, Q. Chen, P. Kollias, and S. J. Ghan,
: Improving representation of convective transport for scale-aware parameterization: 1. Convection and cloud properties simulated with spectral bin and bulk microphysics. J. Geophys. Res., 120, 3485-3509, doi:10.1002/2014JD022142.
Faramarzzadeh, M., and Coauthors,
: Application of Machine Learning and Remote Sensing for Gap-filling Daily Precipitation Data of a Sparsely Gauged Basin in East Africa. Environmental Processes, 10(8), , doi:10.1007/s40710-023-00625-y.
Feng, S., L. Gao, J. Qiu, X. Liu, W. T. Crow, T. Zhao, C. Tan, S. Wang, and J.-P. Wigneron,
: Can real-time NDVI observations better constrain SMAP soil moisture retrievals?. Remote Sensing of Environment, 318, 114569, doi:10.1016/j.rse.2024.114569.
Feng, X., C. Liu, F. Xie, J. Lu, L. S. Chiu, G. Tintera, B. Chen,
: Precipitation characteristic changes due to global warming in a high-resolution (16 km) ECMWF simulation. Q. J. R. Meteorol. Soc., 145, 303-317, doi:10.1002/qj.3432.
Feng, Z., A. F. Prein, J. Kukulies, T. Fiolleau, W. L. Jones, B. Maybee, Z. L. Moon, K. M. Núñez Ocasio, W. Dong, M. J. Molina, M. G. Albright, M. Rajagopal, V. Robledo, J. Song, F. Song, L. R. Leung, A. C. Varble, C. Klein, R. Roca, R. Feng, and J. F. Mejia,
: Mesoscale Convective Systems Tracking Method Intercomparison (MCSMIP): Application to DYAMOND Global km-Scale Simulations. JGR Atmospheres, 130(8), e2024JD042204, doi:10.1029/2024JD042204.
Fenni, I., K. S. Kuo, M. S. Haynes, Z. S. Haddad, and H. Roussel,
: Evaluation of Higher-order Quadrature Schemes in Improving Computational Efficiency for Orientation-averaged Single-Scattering Properties of Nonspherical Ice Particles. J. Geophys. Res. - Atmos., 126(11), e2020JD034172, doi:10.1029/2020JD034172.