Anglais
French
Renalda SAMRA (EL) KHALIL
أستاذ مشارك
Directeur - Centre régional de l'eau et de l'environnement
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مَعْهَد الهَنْدَسة العالِي في بَيروت
+961 (1) 421 000 تحويلة 3441 renalda.samra@usj.edu.lb
Associate professor at the Faculty of Engineering (ESIB) of Saint Joseph University in Beirut, Lebanon. Graduated in Civil Engineering in 1992 with distinction and top of her class from the American University of Beirut, then earned an ME in Environmental and Water Resources Engineering in 1994 from the American University of Beirut, then earned a PhD in Environmental and Water Resources from the American University of Beirut, Lebanon, in 2016. Main research areas: Climate Change, Regional Climate Modeling, Renewable Energy, Water & Wastewater Treatment.
محاور البحث
Climate ChangeRegional Climate ModelingRenewable Energy
المنشورات والمداخلات
El-Samra, R.,
Haddad, A., Alameddine, I., Bou-Zeid, E. El Fadel, M. “Downscaling climatic
variables at a river basin scale: Statistical validation and ensemble,”
Climate, (2024), 12, 27. https://doi.org/10.3390/cli12020027
El-Samra R., E.
Bou-Zeid, K.H. Bangalath, G. Stenchikov, and M. El-Fadel, “Seasonal and
regional patterns of intensification of future temperature extremes from
high-resolution dynamic downscaling over complex terrain”, Journal of
Geophysical Research: Atmosphere, 123, 13 (2018): 6669-6689, doi:
10.1029/2017JD027500.
El-Samra R., E.
Bou-Zeid, and M. El-Fadel, “To what extent can high resolution dynamical
downscaling improve the representation of climatic extremes over an
orographically complex terrain?” Theoretical and Applied Climatology, 134, 1-2
(2018): 265-282, doi:10.1007/s00704-017-2273-8.
El-Samra R., E.
Bou-Zeid, and M. El-Fadel, “What model resolution is required in climatological
downscaling over a complex terrain?” Atmospheric Research, 203 (2018): 68-82, https://doi.org/10.1016/j.atmosres.2017.11.030.
El-Samra R., Bou-Zeid E., Bangalath K.H.,
Stenchikov G., and El-Fadel M. (2017). Future intensification of
hydro-meteorological extremes: Downscaling using the Weather Research and
Forecasting model. Climate Dynamics,
doi:10.1007/s00382-017-3542-z.