Author(s)

Ihab Jomaa^1*, Marie Therese Abi Saab², Sleiman Skaf¹, Nisrine El Haj¹, Randa Massaad¹

¹Lebanese Agricultural Research Institute, Tal Amara, Lebanon.
²Lebanese Agricultural Research Institute, Fanar, Lebanon.

Rain gages data represents limited spatial coverage, especially in rugged terrains like Lebanon. Other precipitation data sources are the developing satellite and radar technologies. In this study, Tropical Rain Measurement Mission (TRMM) monthly rainfall data of 18 years (1998-2014 and 2017) was used to understand monthly and yearly precipitation spatial distribution overall Lebanon. Topographic effect of rainfall spatial distribution was investigated in comparison to Plassard’s map of 1971. The annual precipitation over the country ranged between 850 mm and 200 mm that differs than the existing historical map. The maximum rainfall rate decreased by about 700 mm between the derived TRMM rainfall map and Plassard’s one. Spatial distribution of maximum precipitation rates does not coincide between maps. TRMM map of elevated terrains did not show similar trends of rainfall distribution as Plassard’s. Pixels (Lebanon was divided into 27 pixels) of lower rainfall rates was found toward the eastern side of Lebanon, in contrast to Plassard’s results. Anti-Lebanon did not show an increase in precipitation in accordance to altitude. Spatial variability of precipitation was about 50 mm between pixels which reveals the importance of considering topography while implemented rain gages as observation points. TRMM and satellite rainfall data aid in investigating complete spatial distribution of rainfall over continuous periods. Accumulating knowledge of spatial rainfall distribution on timely basis will lead to better future modelling on floods and drought conditions in Lebanon.

TRMM Data, Rainfall, Plassard’s Map, Lebanon, Topography

Jomaa, I. , Saab, M. , Skaf, S. , El Haj, N. and Massaad, R. (2019) Variability in Spatial Distribution of Precipitation Overall Rugged Topography of Lebanon, Using TRMM Images. Atmospheric and Climate Sciences, 9, 369-380. doi: 10.4236/acs.2019.93026.