Rainfall estimation for the south shore of the Mediterranean Sea using MSG infrared images
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2015, Vol 3, Issue 2
Abstract
The objective of this paper is the estimation of rainfall over the Algerian territory using MSG (Meteosat Second Generation) infrared data. To achieve this aim, we applied a calibrated GPI (GOES Precipitation Index) approach. This technique is tested to the complex situation of the Mediterranean climate. The rainfall estimated is obtained by using an affectation of adapted rain rates for a brightness temperature. These rain rates are determinate by analysing two years of in situ measures. The tests have been concluded during the rainy months January, February, and September of 2006/2007. The results show a good correlation between measured and estimated rainfall in winter and summer where stratiform and convective cells are present.
Authors and Affiliations
Mohsene A. TEBBI*| Laboratory of image processing and radiation, University of sciences and technology Houari Boumediene, 32, El Alia, Bab Ezzouar, 16111, Algiers, Algeria, Boualem HADDAD| Laboratory of image processing and radiation, University of sciences and technology Houari Boumediene, 32, El Alia, Bab Ezzouar, 16111, Algiers, Algeria
Avoiding Premature Convergence of Genetic Algorithm in Informational Retrieval Systems
Genetic algorithm is been adopted to implement information retrieval systems by many researchers to retrieve optimal document set based on user query. However, GA is been critiqued by premature convergence due to falling...
Application of global thresholding in bread porosity evaluation
The white bread is one of most popular food in Bulgaria. Its quality is defined by standards and control is also standardized. The white bread has four groups of quality parameters - organoleptic, physicochemical, chemic...
Classification of Neurodegenerative Diseases using Machine Learning Methods
In this study, neurodegenerative diseases (Amyotrophic Lateral Sclerosis, Huntington’s disease, and Parkinson’s disease) were diagnosed and classified using force signals. In the classification, five machine learning al...
Vulnerability Analysis of Multiple Critical Fault Outages and Adaptive Under Voltage Load Shedding Scenarios in Marmara Region Electrical Power Grid
The utilization of electrical power system has been rising frequently from past to now and there is a need of dependable electrical transmission and distribution networks so as to ensure continuous and balanced energy. B...
A highly Reliable and Fully Automated Classification System for Sleep Apnea Detection
Sleep apnea (SA) in the form of Obstructive sleep apnea (OSA) is becoming the most common respiratory disorder during sleep, which is characterized by cessations of airflow to the lungs. These cessations in breathing mus...