Statistical modeling of monthly rainfall variability in Soummam watershed of Algeria, between 1967 and 2018

Author:

Aieb Amir1ORCID,Lefsih Khalef1ORCID,Scarpa Marco2,Bonaccorso Brunella2ORCID,Cicero Nicola2ORCID,Mimeche Omar3,Madani Khodir1ORCID

Affiliation:

1. Laboratoire de Biomathématiques, Biophysique, Biochimie, et Scientométrie Université de Bejaia Bejaia Algérie

2. Department of Engineering, Department BioMorf University of Messina Messina Italy

3. Laboratoire de recherche en Hydraulique Appliquée et Environnement Université de Bejaia Bejaia Algérie

Publisher

Wiley

Subject

Environmental Science (miscellaneous),Modeling and Simulation

Reference41 articles.

1. Adnan S. &Haider S.(2012).Classification and assessment of aridity in Pakistan by using different aridity indices (ENV. Adnan_Pakistan_paper1. pdf). Retrieved fromftp://ftp.wmo.int/Documents/PublicWeb/arep/Weather_Mod_Bali/ENV%20bruntjes.chalon

2. A new approach for processing climate missing databases applied to daily rainfall data in Soummam watershed, Algeria;Aieb A.;Heliyon,2019

3. Best-Fit Probability Distributions and Return Periods for Maximum Monthly Rainfall in Bangladesh

4. Global observed changes in daily climate extremes of temperature and precipitation

5. Frequency analysis of the monthly rainfall data at Sulaimania region, Iraq;Al‐Suhili R. H.;American Journal of Engineering Research,2014

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