Meteorological droughts are among the most important natural hazards affecting large populations with significant consequences on the environment, economic and societal development, particularly in arid and semi-arid regions in the world. Both meteorological and hydrological droughts have been extensively studied using a variety of probabilistic models among which the Index Flood Regional Frequency Analysis based on an L-moments procedure (RFA-LM), appears to provide the most robust estimates of meteorological drought frequencies (Hosking et al., 1985a; J.H. Núñez et al. 2011). So far, applications of RFA-LM for regional drought probability studies have been restricted at regional and sub-regional scales while little work has been done at larger scales (e.g., national, continental, sub-continental). The application of the RFA-LM for assessing meteorological drought at larger scale is constrained by the availability of distributed precipitation network and good data quality, making the identification of homogeneous region, in term of common probability distribution, more complex, particularly in arid and semi-arid regions where large temporal and spatial disparity in rainfall distribution exists.
Sellami, H., Khlifi, S., & Vanclooster, M. (2021). Drought Regional Frequency Mapping in Tunisia. Water Quality, Global Changes and Grounwater Responses. Published. 3rd Atlas Georesources International Congress (AGIC 2021), www. https://hdl.handle.net/2078.5/241156 (Original work published 2021)