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Georgia Lazoglou   Ms.  Other 
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Georgia Lazoglou published an article in April 2018.
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Article 1 Read 0 Citations A review of statistical methods to analyze extreme precipitation and temperature events in the Mediterranean region Georgia Lazoglou, Christina Anagnostopoulou, Konstantia Toli... Published: 14 April 2018
Theoretical and Applied Climatology, doi: 10.1007/s00704-018-2467-8
DOI See at publisher website
Article 0 Reads 0 Citations Joint distribution of temperature and precipitation in the Mediterranean, using the Copula method Georgia Lazoglou, Christina Anagnostopoulou Published: 12 March 2018
Theoretical and Applied Climatology, doi: 10.1007/s00704-018-2447-z
DOI See at publisher website
CONFERENCE-ARTICLE 5 Reads 1 Citation <strong>An overview of statistical methods for studying the extreme rainfalls in Mediterranean.</strong> Georgia Lazoglou, Christina Anagnostopoulou Published: 17 July 2017
Proceedings, doi: 10.3390/ecas2017-04132
DOI See at publisher website ABS Show/hide abstract

Extreme rainfall is one of the most devastating natural events. The frequency and intensity of these events has increased. This trend will likely continue as the effects of climate change become more pronounced. As a consequence, it is necessary to evaluate the different statistical methods that assess the occurrence of the extreme rainfalls. This research evaluates some of the most important statistical methods that are used for the analysis of the extreme precipitation events. Extreme Value Theory is applied on ten station data located in the Mediterranean region. Furthermore, its two main fundamental approaches (Block-Maxima and POT) and three commonly used methods for the calculation of the extreme distributions parameters (Maximum Likelihood, L-Moments, and Bayesian) are analyzed and compared. The results showed that the Generalized Pareto Distribution provides better theoretical justification to predict extreme precipitation compared to Generalized Extreme Value (GEV) distribution while in the majority of stations the most accurate parameters for the highest precipitation levels are estimated with the Bayesian method. Extreme precipitation for return period of 50, 150 and 300 years were finally obtained which indicated that Generalized Extreme Value Distribution with Bayesian estimator presents the highest return levels for western stations, while for the eastern Mediterranean stations the Generalized Pareto Distribution with Bayesian estimator presents the highest ones.

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