Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin
The aims of this study are to investigate the influence of large-scale atmospheric circulation quantified by indices such as the North Atlantic Oscillation index (NAOI), the Greenland-Balkan Oscillation index (GBOI) and blocking-type indices on the Lower Danube discharge. We separately analysed each...
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2019
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ftdatacite:10.6084/m9.figshare.11348096 2023-05-15T16:29:23+02:00 Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin Mares, Ileana Mares, Constantin Dobrica, Venera Crisan Demetrescu 2019 https://dx.doi.org/10.6084/m9.figshare.11348096 https://tandf.figshare.com/articles/Comparative_study_of_statistical_methods_to_identify_a_predictor_for_discharge_at_Orsova_in_the_Lower_Danube_Basin/11348096 unknown Taylor & Francis https://dx.doi.org/10.1080/02626667.2019.1699244 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Pharmacology 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Sociology FOS Sociology 69999 Biological Sciences not elsewhere classified FOS Biological sciences 19999 Mathematical Sciences not elsewhere classified FOS Mathematics Text article-journal Journal contribution ScholarlyArticle 2019 ftdatacite https://doi.org/10.6084/m9.figshare.11348096 https://doi.org/10.1080/02626667.2019.1699244 2021-11-05T12:55:41Z The aims of this study are to investigate the influence of large-scale atmospheric circulation quantified by indices such as the North Atlantic Oscillation index (NAOI), the Greenland-Balkan Oscillation index (GBOI) and blocking-type indices on the Lower Danube discharge. We separately analysed each season for the 1948–2000 period. In addition to the statistical linear procedure, we applied methods to quantify nonlinear connections between variables, as mutual information between predictors and predictand, using Shannon’s information entropy theory. The nonlinear correlation information between climate indices and discharge is higher than that obtained from the linear measure, providing more insight into real connections. Also, the non-stationarity of the link between variables is highlighted by spectral coherence based on wavelet analysis. For the physical interpretation, we analyse composite maps over the Atlantic-European region. The most significant influence on the discharge of the Lower Danube Basin is given by the GBOI and blocking-type atmospheric circulation over Europe. Text Greenland North Atlantic North Atlantic oscillation DataCite Metadata Store (German National Library of Science and Technology) Greenland |
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Open Polar |
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Pharmacology 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Sociology FOS Sociology 69999 Biological Sciences not elsewhere classified FOS Biological sciences 19999 Mathematical Sciences not elsewhere classified FOS Mathematics |
spellingShingle |
Pharmacology 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Sociology FOS Sociology 69999 Biological Sciences not elsewhere classified FOS Biological sciences 19999 Mathematical Sciences not elsewhere classified FOS Mathematics Mares, Ileana Mares, Constantin Dobrica, Venera Crisan Demetrescu Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin |
topic_facet |
Pharmacology 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Sociology FOS Sociology 69999 Biological Sciences not elsewhere classified FOS Biological sciences 19999 Mathematical Sciences not elsewhere classified FOS Mathematics |
description |
The aims of this study are to investigate the influence of large-scale atmospheric circulation quantified by indices such as the North Atlantic Oscillation index (NAOI), the Greenland-Balkan Oscillation index (GBOI) and blocking-type indices on the Lower Danube discharge. We separately analysed each season for the 1948–2000 period. In addition to the statistical linear procedure, we applied methods to quantify nonlinear connections between variables, as mutual information between predictors and predictand, using Shannon’s information entropy theory. The nonlinear correlation information between climate indices and discharge is higher than that obtained from the linear measure, providing more insight into real connections. Also, the non-stationarity of the link between variables is highlighted by spectral coherence based on wavelet analysis. For the physical interpretation, we analyse composite maps over the Atlantic-European region. The most significant influence on the discharge of the Lower Danube Basin is given by the GBOI and blocking-type atmospheric circulation over Europe. |
format |
Text |
author |
Mares, Ileana Mares, Constantin Dobrica, Venera Crisan Demetrescu |
author_facet |
Mares, Ileana Mares, Constantin Dobrica, Venera Crisan Demetrescu |
author_sort |
Mares, Ileana |
title |
Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin |
title_short |
Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin |
title_full |
Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin |
title_fullStr |
Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin |
title_full_unstemmed |
Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin |
title_sort |
comparative study of statistical methods to identify a predictor for discharge at orsova in the lower danube basin |
publisher |
Taylor & Francis |
publishDate |
2019 |
url |
https://dx.doi.org/10.6084/m9.figshare.11348096 https://tandf.figshare.com/articles/Comparative_study_of_statistical_methods_to_identify_a_predictor_for_discharge_at_Orsova_in_the_Lower_Danube_Basin/11348096 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland North Atlantic North Atlantic oscillation |
genre_facet |
Greenland North Atlantic North Atlantic oscillation |
op_relation |
https://dx.doi.org/10.1080/02626667.2019.1699244 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.11348096 https://doi.org/10.1080/02626667.2019.1699244 |
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1766019070612733952 |