GPM Refereed Publications
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,
: Global connections between El Nino and landslide impacts. Nature Communications, 12, Article 2262, doi:10.1038/s41467-021-22398-4.
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.
Emmanuel, R., M. Deshpande, Anandh T.S., R. Toumi, G. M. Kranthi, and S. T. Ingle,
: Application of stream function in tracking a quasi-closed circulation and its characteristics in developing and non-developing tropical cyclones over the North Indian Ocean. Tropical Cyclone Research and Review, 14(3), 185-202, doi:10.1016/j.tcrr.2025.07.002.
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.
Ewnetu, S. S., M. Dessie, M. A. Belete, A. Van Griensven, K. Walraevens, A. Frankl, E. Adgo, and N. E. C. Verhoest,
: Spatial and Temporal Evaluation of Gridded Precipitation Products over the Mountainous Lake Tana Basin, Ethiopia. Water, 17(24), 3536, doi:10.3390/w17243536.
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.
Fan, L., D. Rosenfeld, Z. Pan, L. Zang, and F. Mao,
: Combined effects of fine and coarse marine aerosol on vertical raindrop size distribution. npj Climate and Atmospheric Science, 7(1), 182, doi:10.1038/s41612-024-00730-1.
Fan, N., X. Lin, and H. Guo,
: An Analysis for the Applicability of Global Precipitation Measurement Mission (GPM) IMERG Precipitation Data in Typhoons. Atmosphere, 14(8), 1224, doi:10.3390/atmos14081224.
Farahani, A., M. Moradikhaneghahi, M. Ghayoomi, and J. M. Jacobs,
: Application of Soil Moisture Active Passive (SMAP) Satellite Data in Seismic Response Assessment. Rem. Sens., 14(17), 4375, doi:10.3390/rs14174375.
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.
Farzanegan, M. R., and S. Fischer,
: The Effect of the “Woman Life Freedom” Protests on Life Satisfaction in Iran: Evidence from Survey Data. SSRN Electronic Journal, , 10643, doi:10.2139/ssrn.4568762.
Favrichon, S., C. Prigent, C. Jimenez, and R. Vogt,
: Global Mapping of Microwave Emissivity and Emitting Depth in Arid Areas Using GMI Observations. Earth and Space Science, 10(11), e2022EA002756, doi:10.1029/2022EA002756.