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Georgia Lazoglou     Other 
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Georgia Lazoglou published an article in March 2019.
Top co-authors
Panagiotis Maheras

27 shared publications

Department of Meteorology and Climatology, Aristotle University of Thessaloniki

Charalampos Skoulikaris

3 shared publications

Department of Civil Engineering Aristotle, University of Thessaloniki, GR54124 Thessaloniki, Greece

Christina Anagnostopoulou

3 shared publications

Department of Meteorology Climatology, School of Geology Aristotle, University of Thessaloniki, GR54124 Thessaloniki,Greece

Konstantia Tolika

2 shared publications

Department of Meteorology Climatology, School of Geology Aristotle, University of Thessaloniki, GR54124 Thessaloniki,Greece

8
Publications
15
Reads
2
Downloads
3
Citations
Publication Record
Distribution of Articles published per year 
(2017 - 2019)
Total number of journals
published in
 
5
 
Publications See all
Article 1 Read 0 Citations Bias Correction of Climate Model’s Precipitation Using the Copula Method and Its Application in River Basin Simulation Georgia Lazoglou, Christina Anagnostopoulou, Charalampos Sko... Published: 22 March 2019
Water, doi: 10.3390/w11030600
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During the last few decades, the utilization of the data from climate models in hydrological studies has increased as they can provide data in the regions that lack raw meteorological information. The data from climate models data often present biases compared to the observed data and consequently, several methods have been developed for correcting statistical biases. The present study uses the copula for modeling the dependence between the daily mean and total monthly precipitation using E-OBS data in the Mesta/Nestos river basin in order to use this relationship for the bias correction of the MPI climate model monthly precipitation. Additionally, both the non-corrected and bias corrected data are tested as they are used as the inputs to a spatial distributed hydrological model for simulating the basin runoff. The results showed that the MPI model significantly overestimates the E-OBS data while the differences are reduced sufficiently after the bias correction. The outputs from the hydrological models were proven to coincide with the precipitation analysis results and hence, the simulated discharges in the case of copula corrected data present an increased correlation with the observed flows.
CONFERENCE-ARTICLE 10 Reads 0 Citations <strong>Evaluation of extreme dry and wet conditions using climate and hydrological indices in the upper part of the Gal... Christos Mattas, Christina Anagnostopoulou, Panagiota Venets... Published: 15 November 2018
Proceedings, doi: 10.3390/ECWS-3-05823
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Climate changes in the Mediterranean region especially those related to changes in rainfall distribution and occurrence of extreme events affect local economies. Agriculture is a sector strongly affected by climate conditions and concerns the majority of the Greek territory. The Gallikos river basin is an area of great interest regarding climate change impacts since it is an agricultural area depended on surface water resources and an area in which extreme events relatively often take place (e.g. floods). Long time series precipitation (27 years) and temperature data derived from measurement stations along with reanalysis data (ERA INTERIM) were used for the estimation of water availability and climate type over time in the area. The Standardized Precipitation Index and De Martonne aridity index was employed. The water flow measurements were correlated in order to investigate the interrelation between the different river branches and the extent of the meteorological changes effect in the basin. Descriptive statistics and cumulative curves were applied to check homogeneity of data. The results revealed that the climate type varies from semi arid to very wet and water availability ranges from moderately dry to extremely wet years. Reanalysis data overestimate precipitation. The meteorological changes affect at the same time the entire basin since the flow rate peaks occur simultaneously in the hydrographic network at different areas.

CONFERENCE-ARTICLE 13 Reads 0 Citations Copula bias correction for extreme precipitation in re-analysis data over a Greek catchment Georgia Lazoglou, Christina Anagnostopoulou, Charalampos Sko... Published: 15 November 2018
Proceedings, doi: 10.3390/ECWS-3-05817
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The projection of extreme precipitation events with higher accuracy and reliability, which engender severe socioeconomic impacts more frequently, is considered a priority research topic in the scientific community. Although large scale initiatives for monitoring meteorological and hydrological variables exist, the lack of data is still evident particularly in regions with complex topographic characteristics. The latter results in the use of reanalysis data or data derived from Regional Climate Models, however both datasets are biased to the observations resulting in non-accurate results in hydrological studies. The current research presents a newly developed statistical method for the bias correction of the maximum rainfall amount at watershed scale. In particular, the proposed approach necessitates the coupling of a spatial distribution method, namely Thiessen polygons, with a multivariate probabilistic distribution method, namely copulas, for the bias correction of the maximum precipitation. The case study area is the Nestos river basin where the several extreme episodes that have been recorded have direct impacts to the regional agricultural economy. Thus, using daily data by three monitoring stations and daily reanalysis precipitation values from the grids closest to these stations, the results demonstrated that the bias corrected maximum precipitation totals (greater than 90%) is much closer to the real max precipitation totals, while the respective reanalysis value underestimates the real precipitation totals. The overall improvement of the outputs, shows that the proposed Thiessen-copula method could constitute a significant asset to hydrologic simulations.

Article 3 Reads 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
Meteorology and Atmospheric Physics, doi: 10.1007/s00704-018-2467-8
DOI See at publisher website
Article 0 Reads 1 Citation Joint distribution of temperature and precipitation in the Mediterranean, using the Copula method Georgia Lazoglou, Christina Anagnostopoulou Published: 12 March 2018
Meteorology and Atmospheric Physics, doi: 10.1007/s00704-018-2447-z
DOI See at publisher website
Article 0 Reads 0 Citations The Exceptionally Cold January of 2017 over the Balkan Peninsula: A Climatological and Synoptic Analysis Christina Anagnostopoulou, Konstantia Tolika, Georgia Lazogl... Published: 15 December 2017
Atmosphere, doi: 10.3390/atmos8120252
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An exceptionally cold episode occurred in January 2017 over the Balkan Peninsula. Analysis of historical records showed that it was one of the coldest extreme episodes. Even though the low temperatures of January 2017 did not break previous low records for all stations, the long duration was quite extreme, resulting in strong socioeconomic impacts in the region of interest. The 10-year to 100-year return values of minimum temperatures were calculated based on block maxima method and the maximum likelihood estimates. The estimated return periods of the absolute minimum temperature are approximately 15 or 20 years for almost all stations. For only one station, the absolute minimum temperature of January 2017 might happen once in every 300 years according to the return level results. Moreover, the extreme cold episode over the Balkans during the period of 5 January 2017 to 12 January 2017 was associated with a significant outbreak of arctic air masses into eastern–central Europe and the Balkans and a cutoff low at the level of 500 hPa over the region.
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